Paddy was soaked with 30% moisture, and hot water soaking (35, 40, 45, 50, 55, 60 °C) was compared to cold soaking (CS) and submerged aerated soaking (SAS) in terms of the parameters of the paddy grain and the effluent. The investigation demonstrated that hot water soaking yielded the highest total solids (TS) (1.946±0.045 g/L), total dissolved solids (TDS) (1.724±0.013 g/L), and electrical conductivity (EC) (2.651±0.039 mS/cm) values. Elevated dissolved oxygen (DO) (3.72±0.04 mg/L) was observed in the hot water soaking (60 °C) due to the reduction of soaking duration (2 h). By contrast, the SAS maintained a nearly neutral pH (7.35±0.01) and lower turbidity (510.0±1.4 NTU) level compared to the hot water soaking. The leaching rates and moisture absorption were computed using Pseudo-second-order and Peleg models, and a higher leaching rate (0.081 g/L min) was detected at 60°C. The SAS produced higher efficiency with less resource consumption by reducing effluent strength while maintaining TS in paddy grains. The new knowledge created by the comprehensive evaluation CS, SAS, and hot water soaking of paddy parboiling using leaching models and paddy hydration adds new insights to the development of efficient paddy parboiling methods.

  • Wastewater from paddy parboiling pollutes the environment significantly.

  • Effluent strength in hot water soaking is very high compared to cold water soaking and submerged aerated soaking.

  • Submerged aerated soaking reduces effluent quantity and strength greatly.

  • The new knowledge created by this comparative work facilitates the development of appropriate soaking methods for paddy parboiling.

Rice (Oryza sativa L.) is one of the most important edible cereal crops, and it plays a major role in the world's economy (Kumar et al. 2016). Nearly two-thirds of the global population consumes rice to fulfil its daily energy requirement, and in Asian countries, approximately 75% of the calorie requirement is derived from rice (Roy et al. 2011). However, the increase in population causes a reduction in the stock of stored rice and increases the demand for paddy cultivation. Based on the Food and Agriculture Organization statistics in 2022, a considerable increase in global rice production is expected to reach around 523.9 million tons in 2023/24. However, rice processing is a combination of several steps to convert the paddy grains into milled rice. The majority of the population consumes milled rice, and people in Japan prefer well-milled sticky rice (Roy et al. 2011). Furthermore, paddy is processed into rice and consumed either in raw or parboiled form, and approximately 50% of the world's population consumes parboiled rice (Miah et al. 2002; Sayanthan & Thusyanthy 2018).

Parboiling is the hydrothermal treatment given to the paddy grains so as to gelatinize the starch and improve the milling yield (Behera & Sutar 2018). Although parboiling induces physical and chemical changes in paddy grains, it reduces insect attack and retains a higher amount of nutrients (Behera & Sutar 2018). In addition, the protein content of parboiled rice (11.34%) was greater than that of rough rice (8.38%), and the calcium level of parboiled rice is six times greater than that of raw rice (Muchlisyiyah et al. 2023). From this literature, it is clear that the parboiling process directly affects the nutritional content of the rice grains and improves the quality of the final products. Moreover, Pathiraje et al. (2011) reported a maximum reduction in glycemic index (GI) of 10% in parboiled rice compared to raw rice, and according to this reported work, parboiling reduced the GI in rice because of the retrogradation of starch during the parboiling process (Pathiraje et al. 2011). Furthermore, the parboiling process consists of the following three major steps: soaking, steaming, and drying (Behera & Sutar 2018). Paddy grains hydrate during the soaking; starch gelatinization occurs during the steaming process; and restoring of hardness occurs during the drying process (Roy et al. 2019).

Soaking is a more time-consuming process, and the main objective of soaking is to obtain uniform water absorption up to 30% moisture content in wet basis (wb) (Miah et al. 2002; Leethanapanich et al. 2016). Additionally, soaking changes the quantitative and qualitative characteristics of grains including their colour, smell, and nutritional content (Thakur & Gupta 2006). Furthermore, different methods were used to soak the grains, such as cold soaking (CS), hot water soaking, and vacuum soaking (Behera & Sutar 2018). CS is the most common practice in the paddy soaking process, and it takes 36–72 h at room temperature (Miah et al. 2002, Neshankine & Kannan 2021). Extended soaking duration enhances microbial activities and increases the biological oxygen demand (BOD) (1,350–1,800 ppm) in soaking water with a pungent odour (Sayanthan & Thusyanthy 2018). To avoid these difficulties, hot water soaking was introduced, and it depends on the temperature of the soaking water (Champathi Gunathilake 2018).

Soaking in hot water accelerates the hydration rate considerably quicker than in cold water. Behera & Sutar (2018) reported that the moisture diffusivity values for 25 and 75 °C were 1.78 × 10−11 m2/s and 7.17 × 10−11 m2/s, respectively (Behera & Sutar 2018). According to this study, temperature and moisture diffusivity showed a positive correlation, and higher temperature adversely affects the head rice yield. Moreover, increasing temperature reduces the soaking time, and insufficient soaking time increases the percentage of grain breakage during the milling process (Bhattacharya & Subba 1966; Zhu et al. 2019). However, Leethanapanich et al. (2016) reported an increase in head rice yield of parboiled rice with enhancing soaking temperatures of 50, 60, or 70 °C for 5, 4, or 3.5 h, respectively (Leethanapanich et al. 2016). Moreover, according to Taghinezhad et al. (2015), the highest head rice yield (67.05%) was observed at 65 °C and the minimum head rice yield (62.16%) was found at 75 °C (Taghinezhad et al. 2015). Based on this literature, investigation of the optimum soaking duration and temperature in hot water soaking are essential to improve the milling yield of rice. To avoid these obstacles, Neshankine & Kannan (2021) suggested a submerged aerated soaking (SAS) process with the recirculation of water.

SAS is a novel investigation in the paddy parboiling industry with the aim of reducing the effluent strength. However, commercialization of the aerated soaking method is still in the developmental stage due to the higher energy consumption and final quality of the effluent. While using CS, the BOD of the soaked water is greater than in the SAS and hot water soaking processes. According to the previous works, the BOD value of the CS process was 1,039 mg/L and it was higher than the recommended level (80 mg/L) set by the World Health Organization (WHO) (Roy et al. 2011). Obviously, effluent with elevated BOD level reduced the overall quality of water. In addition, the BOD level of the SAS process was 600 mg/L (Neshankine & Kannan 2021). According to these investigations, it is obvious that the effluent in the CS contains minimum DO level with higher level of microorganisms, and these aerobic and anaerobic microorganisms consume solid materials: phenolic compounds, sugar, and amino acids in the soaking water.

However, leaching of total phenol (62 mg/L) and total sugar (641 mg/L) were higher in the hot water soaking process than in the CS (Roy et al. 2011). Panda & Shrivastava (2019) investigated higher leaching loss for hot water soaking (1.23 ± 0.078 g/kg) than for microwave soaking (0.321 ± 0.043 g/kg). According to this literature, the leaching of solids was higher in hot water soaking than other soaking methods, and it is essential to reduce nutrient leaching in the soaking process to maintain the final quality of grains. Furthermore, effluent coming from the parboiling process contains higher amounts of TS (998.1–1459.1 mg/L) and TDS (670 mg/L) content, and these values were greater than the recommended standards (TDS: 300–600 ppm) mentioned by the WHO (Sayanthan & Thusyanthy 2018). Moreover, direct discharge of this nutrient rich effluent causes significant environmental pollution including the eutrophication process (Sayanthan & Thusyanthy 2018). Considering these obstacles, it is necessary to reduce solid leaching in the parboiling industry using sophisticated strategies. Anyhow, based on the previous studies, evaluation of the leaching of soluble solids in the hot water soaking process and the comparison of three soaking methods, namely, CS, hot water soaking, and SAS processes, are still at the embryonic stage.

Therefore, in this study effluent characteristics and paddy grain parameters were measured during hot water soaking at six temperatures: 35, 40, 45, 50, 55, and 60 °C. Additionally, the CS and SAS processes were evaluated until the paddy grains reached 30% moisture content (wb). The TS content of the soak water was used to compare the soluble solids leaching during hot water soaking against CS and SAS. Notably, the aeration process demonstrated higher efficiency than hot water soaking in the parboiling process. The study also encompasses the kinetic analysis of soluble solids leaching during the soaking process. The findings offer significant insights into optimizing the final quality of paddy grains by identifying the most effective soaking method. By investigating the scientific aspects of three different soaking methods commonly used in the parboiling process, the study aims to develop an energy-efficient system that minimizes soluble solids leaching in commercial scale paddy parboiling. The novelty of this research lies in its comprehensive analysis of soaking methods using a novel SAS approach and their impact on both effluent characteristics and paddy grain quality, providing a foundation for enhancing the paddy parboiling process.

Site selection

The experiment was conducted at the environmental and hydroresearch laboratory, Department of Agricultural Engineering, Faculty of Agriculture, University of Jaffna, Ariviyal Nagar, Kilinochchi, Sri Lanka.

Materials

The intermediate bold shape paddy variety Bg 352 was purchased from Mahaweli Authority, System-L, Sampathnuwara, Mullaitivu, Sri Lanka. Impurities in the paddy sample were removed using the winnowing process. Lighter materials (unfilled grains, weed seeds, and straw) were removed, and heavier components (heavier grains and stones) were recovered through this process (IRRI 2013). Moreover, these heavier grains and stones were separated using visual observation to improve the efficiency of the soaking process. Reverse osmosis (RO) water was used for the soaking process and high-purity toluene (C7H8) was used for the true density measurement.

Figure 1 represents the schematic diagram of the methodology used to compare the total solids leaching in the hot water soaking process, while the CS and SAS processes were carried out at room temperature (28 °C) using an experimental setup. The hot water soaking process was conducted at 35, 40, 45, 50, 55, and 60 °C using an oil bath. These six temperatures were selected for a detailed understanding of the soaking process and identified the efficient soaking temperature for the paddy soaking process. Accordingly, temperatures below 30–35 °C corresponded to room temperature (CS), while elevated temperatures led to nutrient losses in paddy grains. Temperatures above the gelatinization point (65–70 °C) increased the energy cost and affected the final quality of the paddy grains (Taghinezhad et al. 2015; Aghinezhad et al. 2016). Therefore, the temperature range for this experiment was selected between 35 and 60 °C to achieve clear understanding and a convenient number of experiments. In order to compare the soluble solids leaching in the soaking process, TS and other effluent parameters, namely, pH, TDS, EC, DO, and turbidity, were measured. Moreover, BOD, elongation percentage, moisture content, and microbial colonies were determined under well-defined laboratory conditions. The experiment was scientifically evaluated using mathematical models, including absorption and leaching kinetics.
Figure 1

Schematic diagram of the methodology.

Figure 1

Schematic diagram of the methodology.

Close modal

Physical properties of paddy grains

Size, aspect ratio, moisture content, bulk density, particle density, porosity, and percentage of husk in the paddy sample were measured using the following standard methods to determine the initial physical properties of paddy grains.

Size

Randomly selected clean paddy grains were taken for analyzing the length and width of paddy grains. The average length and width of the paddy grains were measured using a vernier calliper (E – PITA15, Nakamura Mfg. Co. Ltd, Japan) with a 0.01 mm reading accuracy. The length of grains was determined by measuring the length between two tips, and the longest perpendicular length of grain was considered as the width of the paddy grain (IRRI 2013).

Aspect ratio

Aspect ratio is important during the soaking process to identify uniform grain swelling and optimize the soaking time. It was calculated using length (L) and width (W) measurements. Equation (2.3.1) was used to determine the aspect ratio (Varnamkhasti et al. 2008).
(2.3.1)
where L is the length of the paddy grain (mm) and W is the width of the paddy grain (mm).

Moisture content

The standard oven dry method (ASAE S352-1) was followed to determine the moisture content of paddy grains (Aremu et al. 2014). The initial weight of the paddy sample (Wi) was measured using an analytical balance (AS 220.R2, RADWAG Wagi Elektroniczne, Poland) and dried using an oven (ISUZU CAP-VTN 114, ISUZU SEISAKUSHO Co. Ltd, Japan) until the sample's weight attained a constant level at 105 °C. The final weight of the sample was noted as (Wf) . Moisture content in both wb and dry basis (db) were estimated per Equations (2.3.2) and (2.3.3), respectively (Neshankine & Kannan 2021).
(2.3.2)
(2.3.3)
where

Here, Wi is the initial weight of paddy grains (g); Wf is the final weight of paddy grains (g).

Bulk density

The cleaned paddy sample was filled up to 70 mL in the 100-mL measuring cylinder and the volume was noted as . Finally, paddy grains were weighed accurately. The bulk density of the paddy grains was determined using Equation (2.3.4) (Varnamkhasti et al. 2008).
(2.3.4)
where is the weight of paddy sample (kg) and is the volume of the measuring cylinder (m3).

Particle density

The known volume of high-purity toluene solution was placed into the 100-mL measuring cylinder, and precisely weighed cleaned paddy was added into the toluene solution. Displacement of the toluene volume was considered as the true volume of paddy grains. True volume was noted accurately, and particle density was determined per Equation (2.3.5) (Varnamkhasti et al. 2008).
(2.3.5)
where is the weight of paddy sample (kg) and is the volume of paddy sample (m3).

Porosity

Porosity was determined using and per Equation (2.3.6) (Varnamkhasti et al. 2008).
(2.3.6)
where is the bulk density of paddy sample (kg/m3) and is the particle density of paddy sample (kg/m3).

Percentage of husk

Precisely weighed, 10 g of paddy grains were taken and the husk of the paddy grains was removed. The weight of the removed husk was measured using an analytical balance (AS 220.R2, RADWAG Wagi Elektroniczne, Poland) and the percentage of husk was calculated per Equation (2.3.7).
(2.3.7)
where Wi is the initial weight of paddy grains (g) and is the weight of paddy husk (g).

CS process

The CS process was conducted using a soaking tank, as shown in the Figure 2, which was similar to that of the SAS process. Cleaned, homogenized paddy and water were mixed and evenly distributed into the soaking tank at a ratio of 1:1.3 in weight basis (Neshankine & Kannan 2021). According to the literature, 5.2 kg (5.2 L) of water was added to soak the 4 kg of paddy sample, and the mixture was transferred into the soaking tank at room temperature (28 °C). The soaking process was continued with two replicants until the paddy grains had reached the 30% (wb) moisture content. All effluent parameters (pH, TDS, TS, EC, DO, BOD, turbidity) and paddy grain parameters (moisture content, elongation percentage) were measured using standard methods. Microbial cells were counted using a haemocytometer.
Figure 2

Diagram of the CS tank.

Figure 2

Diagram of the CS tank.

Close modal

Design of an SAS system

As shown in Figure 3, the soaking tank was designed using a PVC pipe with a 1.5 m height and 0.1 m diameter. According to the dimensions of the PVC pipe, the total volume of the soaking tank was 0.0118 m3 and paddy was added up to 1.3 m height. Finally, 5.2 L of water was added to maintain the submerged condition in the soaking tank. A 25-mm PVC pipe was used to circulate the water throughout the system with the help of a water pressure pump (ARPICO 90 W 230 V/50 Hz), and the total capacity (max) of the pump was 17 L/min. The measured temperature of the soaked water was changed from 28 to 30 °C due to the water circulation process. Water was sprinkled using a showerhead, and it was placed 0.35 m above the top of the soaking tank. Water circulation was followed in this soaking system using a pump and timer. Based on the DO content, this system was programmed with 70 min on-time and 20 min off-time.
Figure 3

Experimental setup of the SAS system.

Figure 3

Experimental setup of the SAS system.

Close modal

SAS process

The SAS process was carried out two times using an experimental setup as shown in Figure 3. It was continued for 24 h to obtain uniform moisture content up to 30% (wb) in paddy grains. Water circulation was started after 12 h of soaking process. At the end of the initial 12 h of soaking, the effluent reached the minimum DO profile, and water circulation was started to maintain the DO content inside the soaking tank. All the parameters, namely, pH, TDS, TS, EC, DO, BOD, turbidity, moisture content, elongation percentage of paddy grains, and microbial cells, were quantified.

Hot water soaking process

The hot water soaking process was conducted at 35, 40, 45, 50, 55, and 60 °C using an oil bath (BOA200/310, YAMATO SCIENTIFIC Co. Ltd, Japan) until paddy grains had reached the 30% (wb) moisture content. The temperature of the water within the beakers was measured using a thermometer (SK-250WP-N, SATO KECRYOKI, Japan). All tests were continued with two replicants. The pH, TDS, TS, EC, DO, BOD, turbidity, elongation percentage, and moisture content of the paddy grains were measured using standard methods. Finally, microbial cells were counted using a haemocytometer.

Determination of paddy grain parameters

Hydration rate and elongation percentage were measured using the following standard methods.

Hydration rate

Moisture content of paddy grains in wb was estimated per Equation (2.3.2) at 15-min intervals in the hot water soaking process and first 2 h of CS and SAS processes. After that, hydration rate was measured at 2 h interval in CS (up to 48 h) and first 12 h in SAS. After starting the aeration process, measurements were taken at 15-min intervals during the initial 2 h in the SAS process due to the changes in the DO profile in soaked water. Finally, measurements were continued with 2 h intervals until paddy grains had reached 30% (wb) moisture content.

Elongation percentage

Initially, average paddy length was measured using vernier callipers (E – PITA15, Nakamura Mfg. Co. Ltd, Japan), and the final length of paddy grains was determined at the end of the soaking process. Finally, the elongation percentage was calculated using Equation (2.7.1) (Neshankine & Kannan 2021). Measurements were taken at a 15-min interval during the initial 2 h of soaking processes and continued with 2 h intervals during the CS process (up to 48 h) and initial 12 h during the SAS. Due to the water circulation, elongation percentage was measured with 15-min intervals during the initial 2 h of aeration process. After the initial 2 h, measurements were taken at 30-min intervals in the hot water soaking process owing to minute changes in the length of the paddy grains.
(2.7.1)
where is the initial length of paddy grains (mm) and is the final length of paddy grains (mm).

Determination of effluent parameters

Cleaned and sterilized sample bottles were used to collect the effluent without external contamination. Effluent measurements were conducted at the Central Environmental Authority, Northern Provincial office, Ponnagar, Ariviyal Nagar, Kilinochchi, Sri Lanka.

2.8.1. pH

The pH of the soaking water was measured using a pH meter (HM-42X, DKK-TOA CORPORATION, Japan) at 15-min intervals in the hot water soaking and the first 2 h in CS and SAS. After that, 2 h duration was followed for the CS process and initial 12 h in the aeration process. Due to the changes in DO profile in soaked water, pH was measured at 15-min interval during the initial 2 h of the aeration process, and after that, measurements were taken at 2 h intervals during the SAS process.

TDS

TDS content of soaked water in the three soaking processes, hot water soaking, CS, and SAS, was measured using a conductivity meter (STARTER 300C, Japan) at a 15-min interval for initial 2 h in CS and SAS. TDS was measured at a 15-min interval in the hot water soaking process. After the initial 2 h of soaking, the TDS profile was observed at 2 h intervals during the CS and SAS processes. Due to the aeration process, measurements were taken at 15-min intervals during the first 2 h of the SAS process. Finally, 2 h interval was followed to collect the samples.

EC

EC was measured using the conductivity meter (HI98331, Hanna Instruments, Romania) and measurements were taken at a 15-min interval in the hot water soaking and initial 2 h of CS and SAS processes. Subsequently, measurements were taken at a 2 h interval in the CS process and the initial 12 h of SAS process. Finally, EC was measured at a 15-min interval during the initial 2 h in the SAS process due to the aeration process, and 2 h interval was followed from 14 to 24 h during the SAS process.

TS

The initial weight of the 50-mL beaker was measured using an analytical balance (AS 220.R2, Poland), and known volume (V) of thoroughly mixed, soaked water was placed into the beaker. A beaker with soaked water was placed in the oven (ISUZU CAP-VTN 114, ISUZU SEISAKUSHO Co. Ltd, Japan) and allowed to dry for 3 h at 105 °C. The beaker was taken out and cooled at room temperature. The final weight (Wf) of the beaker was determined and the TS of effluent was calculated per Equation (2.8.1) (Kannan 2015).
(2.8.1)
where Wi is the initial weight of the beaker (g); Wf is the final weight of the beaker (g); and V is the volume of the sample (mL).

DO

A DO meter (DO 31P, DKK-TOA CORPORATION, Japan) was used to determine the DO level in the soaked water, and measurements were taken at 15-min intervals for the hot water soaking and initial 2 h of CS and SAS. The measurements were taken at 2 h intervals in the CS and SAS until paddy grains attained 30% moisture content (wb). Moreover, DO level was measured during the aeration process at 15-min intervals during the initial 2 h to determine the oxygen dynamics in soaked water, and the measurements were continued with 2 h intervals up to 24 h.

Turbidity

A turbidity meter (DR/890, HACH Company, USA) was used to determine the turbidity of the soaked water. The measurements were taken at 15-min intervals during the initial 2 h of CS and SAS processes and turbidity was determined at 15-min intervals in the hot water soaking process. Paddy grains were soaked until their moisture level reached 30% (wb). After the initial 2 h of soaking, turbidity was measured at 2 h intervals in CS and SAS (initial 12 h). Measurements were taken at 15-min intervals from 12 to 14 h in SAS process and continued with 2 h intervals due to the aeration process.

Determination of microbial cells

After the completion of all the soaking process, microbial cells were counted using a haemocytometer. All supportive equipment (pipette, cover slip) were moistened with distilled water, and the cover glass was gently pushed onto the counting chamber. The collected effluent was diluted at a ratio of 1:20 (effluent to distilled water). The sample was well mixed and a small drop of the mixture was taken into the pipette. As a result of capillary force, effluent mixture entered in the counting chamber. Finally, counting chamber with a cover slip was observed under the microscope (C-FLED2, NIKON CORPORATION, Japan) to count the microbial cells. These microbial cells were quantified at the end of the soaking processes using Equation (2.8.2).
(2.8.2)
where N refers to counted cells; A indicates the counted area (mm2); V indicates the depth of the chamber (mm); D indicates the dilution factor.

BOD

The DO content of the effluent was measured at the beginning and after 5 days by Winkler's titration method. The difference between these two DO values was correlated with the BOD5 value, and measurements were taken at the end of the soaking processes.

Absorption and leaching kinetics

Pseudo-second-order model was used to determine the leaching rate of the paddy grains, and the Peleg model was used to explain the sorption behaviour of the paddy grains during the soaking process. Furthermore, analysis of the leaching rate is essential for determining the efficacy of the soaking process.

Pseudo-second-order kinetics

Among the kinetics models, the pseudo-first-order and pseudo-second-order kinetics models describe the adsorption, desorption, and extraction processes. Previously, the pseudo-second-order kinetics model was used to describe the solid–liquid extraction process of plant seeds. For instance, Uhm & Yoon (2011) applied second-order kinetics to explain the leaching of oil from soybean (Uhm & Yoon 2011). Mostly, researchers applied second-order kinetics to describe the dissolution kinetics of solids (lecithin) in solution (Kumar et al. 2010). In this study, the pseudo-second-order kinetic model was used to explain the leaching of soluble solids during soaking processes per Equation (2.9.1) (Kumar et al. 2010).
(2.9.1)
The linearized expression of the pseudo-second-order Equation (2.9.2) for the pure solvent is as follows:
(2.9.2)
Paddy parboiling industries used water with dissolved compounds for the soaking process. Consequently, Equation (2.9.2) was rearranged per Equation (2.9.3).
(2.9.3)
According to that in the soaked water was obtained using Equation (2.9.4).
(2.9.4)
The dissolution rate was calculated using Equation (2.9.5).
(2.9.5)
where c is the concentration of solute in liquid phase at any time (g/L); is the saturation concentration for solute in liquid (g/L); k is the pseudo-second-order kinetic constant (L/g min); is the concentration of solute dissolved in the liquid phase during the soaking process (g/L); is the initial concentration of solute in liquid phase (g/L); and is the leaching rate (kg/m3 min).

Peleg model

Sorption phenomena, including absorption and desorption, play a significant role in the food processing industries, and these processes are used to predict the shelf life of foods (Al-Muhtaseb et al. 2002). The Peleg model described the sorption behaviour of different food materials, including grains (Turhan et al. 2002). For instance, Peleg (1988) used this model to display the sorption behaviour of whole rice grains during the soaking process (Turhan et al. 2002). Peleg's extraction model was used to evaluate the leaching behaviour of grains during the soaking process per Equation (2.9.6) (Kumar et al. 2024).
(2.9.6)
where is the concentration of solids at any time t (g/L); is the leach out rate constant (min L/g); and is the Peleg capacity constant (L/g).
In addition, this model was used to predict the equilibrium moisture content of grains and estimate the final moisture content by comparing the water absorption behaviours (Turhan et al. 2002). According to that, in this study, absorption behaviour in paddy grains was identified using the Peleg model per Equation (2.9.7).
(2.9.7)
where M is the moisture content at time t (%); M0 is the initial moisture content (%); K1 is the Peleg rate constant (min/%, h/%); K2 is the Peleg capacity constant (%−1).

According to Equation (2.9.7), ‘ + ’ was used in absorption or adsorption processes and ‘–’ was used during the desorption or drying processes.

Properties of paddy grains

Table 1 describes the physical properties of the paddy sample, namely, size, aspect ratio, moisture content, bulk density, particle density, porosity, and percentage of husk. These physical properties are used to determine the qualities of the final product (Varnamkhasti et al. 2008). The length, width, aspect ratio, moisture content, bulk density, particle density, porosity, and percentage of husk were 7.85 ± 0.014 mm, 3.08 ± 0.021 mm, 2.55, 13.84 ± 0.01%, 536 ± 0.03 kg/m3, 1,410 ± 0.0018 kg/m3, 62.07 ± 0.15%, and 36.92 ± 0.24%, respectively. According to that, the Rice Research and Development Institute (RRDI) in Sri Lanka classified Bg 352 as intermediate bold grains. Furthermore, these length and width measurements significantly affect the water absorption rate, and longer grains with a large surface area accelerate the water absorption process.

Table 1

Physical properties of paddy grains

CharacteristicsUnitValue
Length mm 7.85 ± 0.014 
Width mm 3.08 ± 0.021 
Aspect ratio – 2.55 
Moisture content 13.84 ± 0.2 
Bulk density kg/m3 536 ± 0.03 
Particle density kg/m3 1,410 ± 0.0018 
Porosity 62.07 ± 0.15 
Percentage of husk 36.92 ± 0.24 
CharacteristicsUnitValue
Length mm 7.85 ± 0.014 
Width mm 3.08 ± 0.021 
Aspect ratio – 2.55 
Moisture content 13.84 ± 0.2 
Bulk density kg/m3 536 ± 0.03 
Particle density kg/m3 1,410 ± 0.0018 
Porosity 62.07 ± 0.15 
Percentage of husk 36.92 ± 0.24 

Values are presented as mean ± SD.

Furthermore, newly harvested dried paddy contained moisture content of less than 14% (wb) (Setyaningsih et al. 2016). This experiment showed that the initial moisture content of Bg 352 (13.84 ± 0.01%) was appropriate for the soaking process. Moreover, paddy with lower moisture content enhanced the moisture gradient between paddy grains and soaked water. Furthermore, Varnamkhasti et al. (2008) reported that bulk density, particle density, and porosity affected the rate of mass and heat transfer of moisture during paddy processing, and the bulk density of grains was utilized to design the soaking tanks with proper dimensions (Varnamkhasti et al. 2008). Moreover, grains with lower bulk densities contained more pore space and induced the water absorption process. Reddy & Chakraverty (2004) reported the bulk density of raw paddy (IR-36) as ranging from 522 to 566 kg/m3 with increasing moisture content, and this escalation was observed as a result of the increase in mass of the paddy grains during the soaking process (Reddy & Chakraverty 2004).

Furthermore, the particle density of selected paddy grains was 1,410 ± 0.0018 kg/m3, and Reddy & Chakraverty (2004) evidenced the particle density of raw paddy (IR-36) decreased from 1.405 to 1.348 g/cm3 with the increasing moisture content of paddy grains (Reddy & Chakraverty 2004). It has been evidenced from this literature that the higher particle density enhanced the compact grain structure with less pore space and decelerated the process of water absorption. The porosity value found for Bg 352 in this study was close to the value by Varnamkhasti et al. (2008), which was approximately 60% (Varnamkhasti et al. 2008). For raw paddy, porosity decreased from 62.84 to 58.01% with an increase in the moisture content of paddy grains, and high-porosity grains allow more water penetration during the soaking process (Reddy & Chakraverty 2004). Furthermore, husk acts as a protective barrier for grains, and higher percentage of husk directly affects the water absorption process in paddy soaking (Ejebe et al. 2019). According to these studies, it is clear that the physical properties of paddy grains: size, aspect ratio, moisture content, bulk density, particle density, porosity, and percentage of husk emphasize the final qualities of the product during the paddy soaking process.

Determination of paddy grain characteristics

Changes in moisture content among different soaking methods

Figure 4 displays the changes in moisture content among the three different soaking methods: CS, SAS, and hot water soaking. The Figure 4(a) describes the relationship between moisture content and time in the CS and SAS processes. According to that, the moisture content of selected paddy grains (Bg 352) gradually increased from 13.84 ± 0.01% (wb) to 30% (wb). According to the literature, the required moisture content of paddy in the soaking process was around 30% (Miah et al. 2002). Moreover, when grain moisture content is increased by more than 30%, grain husks split and ultimately leach the solid materials (Miah et al. 2002; Ejebe et al. 2019). As shown in Figure 4(a), the moisture content during the initial 2 h in the CS and SAS processes was rapidly increased by up to 20.05 ± 0.092% and 19.79 ± 0.226%, respectively. This rapid increase was observed due to the permeability of the outermost layers and moisture gradient that existed between the paddy grains and soaked water (Thakur & Gupta 2006). According to previous reports, it is clear that the moisture content of paddy grains was increased rapidly up to 18.8% during the initial 2 h of the CS process (Miah et al. 2002).
Figure 4

Changes in moisture content (%) among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 4

Changes in moisture content (%) among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

After the initial 2 h of the CS process, the moisture content of paddy grains was increased by up to 30.03 ± 0.01% during 48 h with a decreasing rate. The reason behind this scenario is the reduction of the vapour pressure gradient between paddy grains and soaked water. In addition, the samba paddy variety required a prolonged soaking duration (24–48 h) compared to the nadu variety (24–30 h) due to the varietal differences of paddy (Kannan 2015). However, after the initial 12 h of soaking in SAS, the moisture content of paddy grains increased rapidly due to the water circulation and aeration process. As shown in Figure 4(a), after 14 h of soaking, the moisture content values for CS and SAS were 22.94 ± 0.665% and 25.54 ± 0.233%, respectively. However, the SAS process was ceased after 24 h due to the moisture content of 30.04 ± 0.106% (wb).

Figure 4(b) describes the relationship between moisture content and time in hot water soaking at six temperatures: 35, 40, 45, 50, 55, and 60 °C. As shown in the Figure 4(b), the rate of moisture absorption increased with increasing temperature. It was evidenced by Champathi Gunathilake (2018) that the hot water soaking at 70 and 80 °C took 2 and 1 h, respectively (Champathi Gunathilake 2018). In this study, the moisture content of paddy grains gradually increased up to 30% (wb) in the hot water soaking process. However, moisture content was increased linearly during the initial 15-min duration. Moreover, this was due to the permeability of the outermost layers, which rapidly obtained equilibrium with the hydration medium by capillary imbibition (Bello et al. 2004). Anyhow, the rapid increase in moisture content, which was similar to the Figure 4(b), was noticed when soaking paddy in hot water at different temperature conditions (60, 90 °C) (Oli et al. 2014).

According to these soaking methods, namely, CS, SAS, and hot water soaking, CS required longer duration (48 h) to reach 30% moisture content (wb) than the SAS process (24 h). This was due to the lower temperature (28 °C) of soaking water, and ultimately it reduced the penetration of water through the outer husk and slowed down the enzymatic activities responsible for breaking down the starch in paddy grains. According to this study, the time duration to obtain 30% moisture content in CS and SAS was 48 and 24 h, respectively. Therefore, it is obvious that the CS process in the parboiling process required an extended soaking duration, which affected the efficiency of the soaking process on a commercial scale. Moreover, as the temperature increased from 35 to 60 °C, the soaking time was reduced from 11 to 2 h. However, if the temperature increased more than the gelatinization temperature (70 °C), it caused the undesirable effects of splitting and leaching of solids in paddy grains (Bhattacharya & Subba 1966; Aghinezhad et al. 2016). Comparing all these obstacles, SAS was more suitable to maintain the optimum moisture content with minimum resource utilization.

Changes in elongation percentage among different soaking methods

The quality of grain is determined by considering different types of criteria, including the physical properties (size and shape) and the chemical composition (protein and fat) of the grains (Pereira et al. 2024). Moreover, cooking and eating quality of grains depend on the amylose content, elongation ratio, and gelatinization temperature (Pereira et al. 2024). All dimensions of the grains (length and width) increased due to the swelling of the grains during the soaking process, and the length of the grains was decreased because of excessive swelling of the paddy grains (Bayram et al. 2004a). According to that, evaluation of the variations in length of paddy grains is a crucial factor during the paddy parboiling process. In addition, the changes in length of paddy grains at the end of the soaking processes are presented in Figure 5, and the average values of elongation percentage were considered to improve the accuracy of the experiment.
Figure 5

Changes in length among different soaking methods: (a) CS; (b) SAS; and (c) hot water soaking (60 °C).

Figure 5

Changes in length among different soaking methods: (a) CS; (b) SAS; and (c) hot water soaking (60 °C).

Close modal
Furthermore, changes in the elongation percentage of paddy grains among different soaking methods are represented in Figure 6. The initial average length of the Bg 352 paddy grains was 7.85 ± 0.014 mm, and it was gradually increased during the initial 2 h of all soaking conditions. This rapid increase was observed due to greater moisture gradient between paddy grains and soaked water (Kale et al. 2017). Moreover, after the moisture absorption, starch granules present in endosperm tend to swell and change the dimensional properties of paddy grains (Kale et al. 2017). According to Figure 6(a), dimensions of paddy grains were increased with a similar trend during the first 12 h of CS and SAS processes. At the end of the CS, paddy length was expanded by 9.97 ± 0.04%, and this finding was approximately similar to that mentioned by Perez et al. (2011), which was 10–12% of its initial value of the paddy grains (Perez et al. 2011).
Figure 6

Changes in elongation percentage among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 6

Changes in elongation percentage among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

After that, significant change was observed in the SAS approach, and the hydration rate was higher in the SAS process than the CS after the initial 12 h of the soaking due to the water recirculation process. However, paddy grains attained 10.02 ± 0.04 of elongation percentage after the 24 h of the SAS process due to the moisture diffusion between paddy grains and the soaked water. Moreover, similar results were reported by Neshankine & Kannan (2021) who observed 10.36% elongation. Compared to the CS process, the SAS method showed the greater swelling percentage because of the higher hydration rate than the CS process.

Furthermore, in this study, it has been proven that there is a positive relationship between the temperature and the moisture absorption process. According to that, obviously, elongation percentage was changed with the temperature (Perez et al. 2011). Paddy grains soaked at elevated temperatures were set to achieve 30% moisture content within a shorter period than paddy soaked at ambient temperature. Hence, a higher elongation percentage was obtained in the hot water soaking process compared to the other soaking methods. According to Figure 6, the elongation percentage obtained by paddy grains at 35, 40, 45, 50, 55, and 60 °C were 5.79 ± 0.07%, 6.80 ± 0.06%, 7.14 ± 0.08%, 8.18 ± 0.06%, 9.42 ± 0.05%, and 10.06 ± 0.01%, respectively. According to Bayram et al. (2004a), a sharp rise was observed in the percentage change in length of soybean during the soaking process, and the elongation percentage was higher during 30 min for the 50 and 70 °C soaking processes (Bayram et al. 2004a). This literature emphasized the significance of the temperature influence in the hydration and elongation of grains. According to that, elevated temperatures enhanced the elongation of grains more effectively than lower temperatures (Kale et al. 2017).

Furthermore, starch granules tend to reduce the absorption and swelling capacity in the CS because of hydrogen bonds between the amylose and amylopectin (Rocha-Villarreal et al. 2018). Anyhow, during the hot water soaking, these hydrogen bonds disrupted and facilitated the absorption by starch granules, resulting in greater elongation percentage than the CS process (Rocha-Villarreal et al. 2018). However, elevated temperature enhanced the subsequent leaching of solids during the soaking process (Bayram et al. 2004b). Furthermore, prolonged soaking duration in the CS process and subsequent leaching losses in the hot water soaking directly affected the final quality of the product, and considering these factors, the efficiency of the SAS process is greater than other soaking methods. Overall, the performance of the SAS approach is more appropriate during the commercial scale paddy parboiling process.

Determination of effluent parameters

Changes in pH among different soaking methods

Figure 7 represents the findings of the research study on the changes in pH among the three different soaking methods, CS, SAS, and hot water soaking processes. The pH is the quantitative measure of the acidic and basic condition of the aqueous solution, and the observation of changes in pH values in soaking processes is used to predict the leaching of dissolved compounds from paddy grains and to identify the chemical composition in the effluent (Karastogianni et al. 2015). However, these preliminary observations of effluent pH were used to minimize the environmental pollution using pretreatment methods. Due to the fact that the parboiling effluent's pH was altered from 4.5 to 8.5, a lower pH level caused an acidic state in the discharge effluent, which killed aquatic life (Kumar et al. 2016). According to Figure 7, the initial pH of the water was 7.13, which was close to the pH of the raw water (7.0), and this reported pH value was considered a neutral and acceptable level for consumption (Bayram et al. 2004b).
Figure 7

Changes in pH among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 7

Changes in pH among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

The initial pH in the CS and SAS was reduced up to 6.73 ± 0.01 and 6.65 ± 0.06, respectively, during the initial 12 h of the soaking. This gradual decrease was observed because of the microbial respiration, and degradation of the phenolic compounds, namely, phenolic acids and their aldehydes, which caused a reduction in pH in the soaked water (Kannan 2015; Setyaningsih et al. 2016). Moreover, organic matter was decomposed by the aerobic bacteria in soaked water, resulting in carbon dioxide, which was dissolved in the water and produced carbonic acid, reducing the pH of the soaked water (Waters et al. 2011; Ali & Mishra 2022). However, as shown in Figure 7(a), minimum pH value of 6.11 ± 0.04 was observed at the end of the CS process due to the prolonged soaking duration and microbial activities that caused the release of amino nitrogen and phenolic contents into the soaked water (Ramalingam & Raj 1996; Roy et al. 2011).

In addition, after 12 h of soaking, the aeration process was started, which directly affected the pH of the effluent. This effect was illustrated by Figure 7(a), and the pH of the solution was increased from 6.65 ± 0.06 to 7.35 ± 0.01. However, the circulation of water and the sprinkling of water bubbles through the showerhead caused the exchange of gases between the water and the surrounding air (Kannan 2015; Ali & Mishra 2022). Ultimately, it reduced the dissolved carbon dioxide level by increasing the pH in the effluent (Ali & Mishra 2022). Moreover, a previous study, related to the aerated soaking of paddy, also reported a higher pH level of 6.62 ± 0.08 than the CS process (Kannan 2015).

Furthermore, Figure 7(b) represents the findings of the current study about the impact of temperature on the changes in pH in the paddy effluent. According to the observed trend, the pH was reduced with an increase in temperature during the soaking process. As shown in Figure 7(b), a progressive reduction in the pH (5.79 ± 0.06) was observed at 60 °C. According to these results, elevated temperature increased the leaching of soluble compounds from the paddy grains and reduced the pH of the soaked water. Moreover, a prior study using hot water to soak soybeans also reported a lower pH level at elevated temperatures (Bayram et al. 2004b). Moreover, during the hot water soaking, starch in paddy grains is hydrolyzed into sugar, and phenolic compounds, which are present in paddy husk, are released into the soaked water (Ramalingam & Raj 1996). In addition, these phenolic compounds are noxious even at relatively low concentrations, and the amount of phenolic compound in rice mill effluent was 16.21 mg/L (pH 4.8) (Kumar et al. 2016). According to this literature, it is clear that higher phenolic concentration resulted in a reduction in the pH level of the soaked water.

In addition, the dissociation of water molecules into ionic constituents, namely, hydrogen ions (H+) and hydroxide ions (OH), was dependent on temperature, and higher temperatures caused a higher concentration of H+ ions, resulting in an acidic condition (Waters et al. 2011). Remarkably, according to this study, effluent which was quantified during the hot water soaking process showed the minimum pH level (5.79 ± 0.06 at 60 °C). Accordingly, the effluent in hot water soaking required extensive pretreatment methods compared to that of the CS and SAS processes before release into the environment (Kumar et al. 2016). Furthermore, effluent coming from CS was composed of a huge amount of microbial colonies with a low pH level (Ramalingam & Raj 1996; Kumar et al. 2016). Moreover, the effluent released from the SAS process showed the pH value of 7.35 ± 0.01, close to the neutral condition and less hazardous to the environment. However, there is limited utilization of the SAS process on the commercial scale due to the lack of knowledge. Therefore, sophisticated strategies are needed to enhance the SAS process in the commercial sector with minimum resource utilization.

Changes in TDS among different soaking methods

The TDS changes in soaked water in the three studied processes are presented in Figure 8. As shown in Figure 8(a), the initial TDS concentration in soaked water was 0.274 g/L, and it was increased with time. Obviously, during the initial 2 h of soaking, the TDS value for CS and SAS was increased linearly due to the higher solid gradient between paddy grains and soaked water. At the end of the initial 2 h, the obtained TDS values for CS and SAS were 0.6075 ± 0.001 g/L and 0.592 ± 0.022 g/L, respectively. According to these observations, it is clear that the water-soluble substances in paddy grains were leached into the soak water, and this phenomenon increased the TDS content in the paddy effluent. Bayram et al. (2004b) evidenced that the soaking of grains increased the dissolved solids content, comprising starch, proteins, vitamins, and soluble pigments in soaked water (Bayram et al. 2004b).
Figure 8

Changes in TDS among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 8

Changes in TDS among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

Furthermore, after the initial 2 h, TDS concentration was increased at a decreasing rate due to the reduction of solids gradient between paddy grains and the effluent. However, at the end of the 12 h of soaking, the TDS level in the CS and SAS processes was gradually increased up to 0.7215 ± 0.019 g/L and 0.692 ± 0.023 g/L, respectively. After the 12 h soaking process, the TDS value rapidly reached up to 1.631 ± 0.027 g/L in the SAS due to the aeration process. Moreover, due to the aeration process, water bubbles were agitated, which improved the dissolved solids in the effluent rather than have them settle down at the bottom of the system. Moreover, due to the increase of aerobic microbial activities, complex solids were degraded into simple molecules, which affected the TDS concentration (Neshankine & Kannan 2021). After 24 h, SAS process was stopped as the paddy grains obtained the 30% (wb) moisture content.

Furthermore, the CS process was continued for up to 48 h, and the maximum value of TDS in CS was 0.945 ± 0.004 g/L. This value was greater than the reported value (522.1–833.1 mg/L) because of varietal differences of paddy (Sayanthan & Thusyanthy 2018). Although, Figure 8(b) represents the changes in TDS value in the hot water soaking process, ultimately, with the increasing temperature, TDS was increased. Moreover, TDS concentration in soaked water was greatly influenced by the temperature, and it showed a positive correlation with temperature (Kumar et al. 2023). As shown in Figure 8(b), TDS values at 35, 40, 45, 50, 55, and 60 °C were 1.166 ± 0.025 g/L, 1.245 ± 0.007 g/L, 1.367 ± 0.029 g/L, 1.567 ± 0.004 g/L, 1.614 ± 0.010 g/L, and 1.724 ± 0.013 g/L, respectively. According to these measurements, it is clear that TDS in soaked water depended on temperature. However, this increase was due to the greater mobility of ions with temperature, and ultimately it increased the solubility of solids (Kumar et al. 2023). Moreover, during the initial 15 min, the TDS concentration of effluent was rapidly increased at each temperature due to the higher concentration gradient between paddy grains and soaked water. This higher concentration gradient induced the leaching of soluble solids from the paddy grains.

Based on Figure 8, the final TDS values of soaked water in CS, SAS, and hot water soaking at 60 °C were 0.945 ± 0.004 g/L, 1.631 ± 0.027 g/L, and 1.724 ± 0.013 g/L, respectively. Therefore, paddy soaked in hot water exhibited the higher leaching of soluble solids. It has been reported in previous studies that the increase in temperature above the gelatinization point resulted in the leaching out of solids and reduced the quality of the head rice yield (Bhattacharya & Subba 1966). Anyhow, comparing these three methods, it is clear that hot water soaking of paddy enhanced the leaching of solids in paddy grains compared to the CS and SAS processes.

Changes in EC among different soaking methods

The ability of water to transmit electricity through ion molecules, referred to as the EC in water and the EC in soaked water, depends on the temperature and ions that are present in the effluent (Kumar et al. 2023). The major ions responsible for the EC in paddy effluent were sodium, chloride, magnesium, and potassium, and the dominant ion in the rice mill effluent was sodium (213.4–263.7 mg/L) (Pradhan & Sahu 2004). These ions are leading to higher EC and TDS concentrations in the soaked water. Figure 9 represents the changes in EC among CS, SAS, and hot water soaking processes. As shown in Figure 9, the initial EC value (0.428 mS/cm) in the CS and SAS processes gradually increased up to 0.942 ± 0.009 mS/cm and 0.924 ± 0.0343 mS/cm, respectively, during the first 2 h of the soaking processes. This rapid increase was observed due to the higher ion and solid concentration in the soaked water. These ions are leached from the paddy grains and improved the EC in the soaked water (Kumar et al. 2023).
Figure 9

Changes in EC among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 9

Changes in EC among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

After the rapid increase, the EC was increased with a decreasing rate up to 12 h for CS (1.119 ± 0.017 mS/cm) and SAS (1.080 ± 0.0365 mS/cm) due to the reduction of the dissolved solid gradient between the paddy grains and soaked water. After that, as shown in Figure 9(a), the EC gradually increased up to 1.465 ± 0.023 mS/cm at the end of the CS process. However, Gerber et al. (2016) reported that the EC of the raw effluent was 1.588 mS/cm, which was greater than the measured value because of the dissolved ions or solids content of paddy varieties (Gerber et al. 2016; Kumar et al. 2023). However, after the 12 h of soaking period in SAS, the EC was rapidly increased owing to the suction force that occurred due to the aeration process (Neshankine & Kannan 2021). It is clear that the observed EC values after 14 h in CS and SAS were 1.147 ± 0.009 mS/cm and 1.974 ± 0.0144 mS/cm, respectively. Moreover, this suction force was able to alter the ion mobility and improve the ion concentration by increasing the EC in soaked water (Kannan 2015). However, as shown in Figure 9(a), the EC value of the SAS process (2.548 ± 0.042 mS/cm) was greater than the reported value (1.55 ± 0.29 mS/cm) due to the initial ion concentration and the microbial activities in the soaked water (Kannan 2015).

Furthermore, Figure 9(b) displays the relationship between EC and temperature. The EC was increased with increasing temperature because of the higher mobility of ions (Kumar et al. 2023). Moreover, warm temperatures improved the kinetic energy of water molecules and dissociated the dissolved solids into constituent ions, which led to more ions with greater conductivity (Kumar et al. 2023). EC values at 35, 40, 45, 50, 55, and 60 °C were 1.809 ± 0.007 mS/cm, 1.945 ± 0.011 mS/cm, 2.119 ± 0.021 mS/cm, 2.448 ± 0.007 mS/cm, 2.471 ± 0.020 mS/cm, and 2.651 ± 0.039 mS/cm, respectively. According to the present study, it is clear that elevated temperature modified the charged ions in the soaked water, allowing it to conduct electricity more easily. Furthermore, the EC value (3.6 mS/cm) in soaked water at 70 °C was greater than the EC at 50 °C (Bayram et al. 2004b). With that, it has been proven that the increasing temperature improved the solid content and EC in soaked water.

However, these measured values resembled the variations in TDS content in these soaking processes. It has been evidenced by Rusydi (2018), who reported the linear relationship between TDS and EC. According to that, TDS (mg/L) = K × EC (μS/cm), where K is the correction factor, and an average range from 0.5 to 0.9 is acceptable (Rusydi 2018). Overall, these findings were matched with the reported relationship. Furthermore, according to Figure 9, higher EC (2.651 ± 0.039 mS/cm) was demonstrated at high temperatures due to the higher amount of charged ions. Therefore, it is clear that the leaching of soluble solids in hot water soaking was greater than CS and SAS. Moreover, the inorganic dissolved solids (chloride, sulphate, nitrate, magnesium) were leached into the soaked water with increasing temperature (Bayram et al. 2004b). Ultimately, it resulted in reducing the mineral and nutrient content of grains by increasing the EC in the soaked water. Moreover, soaking at low temperatures is essential to minimize the solid loss in the soaking process. Comparing all these methods, SAS was introduced as an eco-friendly method to retain the dissolved solids in paddy grains with optimum EC.

Changes in TS among different soaking methods

The changes in TS among different soaking methods are presented in Figure 10. Paddy effluent contains both organic and inorganic compounds, and the mixture of suspended solids and dissolved solids is known as the TS content in soaked water (Zhang et al. 2004). Soaking improves the nutritional content of grains, ultimately retaining the nutrients of paddy grains. Furthermore, the grain effluent is composed of sugar, minerals, starch, pigments, vitamins, and non-protein nitrogenous compounds, and these solids were demonstrated due to the leaching process (Bayram et al. 2004b). However, as shown in Figure 10, the initial TS value in soaked water was 0.421 g/L, and the TS concentration was increased rapidly during the initial 15 min in the CS and SAS processes up to 0.543 ± 0.006 g/L and 0.549 ± 0.003 g/L, respectively. The reason behind this scenario was the significant solids gradient between paddy grains and soaked water. However, this concentration gradient influenced the solubilization of solid materials with microbial activities (Kannan 2015).
Figure 10

Changes in TS among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 10

Changes in TS among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

Furthermore, as shown in Figure 10(a), at the end of the 12 h, the TS values in the CS and SAS processes were 0.742 ± 0.060 g/L and 0.737 ± 0.067 g/L, respectively. Moreover, the final TS value in CS was 1.236 ± 0.007 g/L, and this value was close to the reported value, which was 0.9981–1.4591 g/L in the rice mill effluent (Sayanthan & Thusyanthy 2018). However, this increasing pattern in the TS level was dominant in the soaking process due to the diffusion of water into the paddy grains. Moreover, internal materials in grains became more soluble owing to the dispersed water in the paddy grains (Thakur & Gupta 2006).

After the 12 h of soaking, the aeration process was carried out in SAS, and the TS level in the soaked water was increased rapidly up to 1.717 ± 0.027 g/L at the end of the 24 h. This significant increase was demonstrated due to the aeration process. However, this aeration enhanced organic matter degradation and chemical reactions, which caused the solubilization of solid materials. As a matter of fact, the total amount of solids degraded due to the aerobic microbial activities, and insoluble compounds were transformed into soluble materials using the enzymatic reactions of microbes (Zhang et al. 2004). Anyhow, SAS was responsible for the higher TS level compared to CS, and the SAS process was stopped after 24 h because the paddy grains reached 30.04 ± 0.106% moisture content (wb). According to the literature, the optimum moisture content for paddy grains to attain during an efficient soaking process was 30% (Leethanapanich et al. 2016). Moreover, excessive moisture absorption caused the splitting of the paddy husk and produced the lower milling yield during the paddy processing (Igathinathane et al. 2005).

Furthermore, Figure 10(b) displays the changes in TS values in the hot water soaking process. It is clear from Figure 10(b) that high temperatures produced more TS content than low temperatures. With an increase in temperature (35 to 60 °C), the amount of TS in the soaked water was increased from 1.316 ± 0.008, to 1.946 ± 0.045 g/L, respectively. This was referred to in prior work that used to explore the soaking process of grains, and according to that investigation, the TS level in soaked water increased because of the higher temperature and the soluble solids content in soaked water at 30, 50, and 70 °C were 0.5 g/g, 1.2 g/g, and 2.3 g/g, respectively (Bayram et al. 2004b). However, in this current study, leaching of solids in paddy grains was higher at elevated temperatures, and this was proven with qualitative parameters (colour).

However, based on these findings, hot water soaking performed the highest TS value (1.946 ± 0.045 g/L) compared to the CS and SAS processes. Ramalingam & Raj (1996) reported that the TS level was higher in hot water soaking than in the CS process. According to that study, the total sugar values in hot water soaking and CS processes were 27.9 mg/100 mL and 4.7 mg/100 mL, respectively. Furthermore, comparing the leaching rate of CS and hot water soaking processes, the SAS process was introduced to minimize the TS content. In conclusion, it is critical to develop sophisticated strategies to minimize the loss of solids in the paddy soaking process by adjusting the soaking time and temperature and implementing the pretreatment methods, including the steaming process.

Changes in DO content among different soaking methods

The amount of oxygen that is present in water is referred to as DO in water, and it plays a crucial role in the aquatic ecosystem, including fauna and flora (Tai et al. 2012). Moreover, atmospheric exchange, photosynthesis reactions, and artificial aeration are the primary sources of DO in water (Tai et al. 2012). The concentration of DO in water depends on the temperature, pressure, ion concentration, and microbial activities, and changes in DO profile are the key indicators of water pollution (Tai et al. 2012; Hauser 2020). The changes in DO profile in soaked water in CS, SAS, and hot water soaking processes are shown in Figure 11. Furthermore, it is important to note that the initial DO content in the current study was 8.12 mg/L, and this result agreed with the reported DO level (8–8.5 mg/L) in water (Ali & Mishra 2022). From the results represented in Figure 11(a), the initial DO level in soaked water was rapidly decreased up to 5.3 ± 0.04 mg/L during the initial 2 h, due to the aerobic microbial activities. Moreover, respiration of microbes and oxidative decomposition of organic materials reduced the oxygen availability in water (Tai et al. 2012; Ali & Mishra 2022).
Figure 11

Changes in DO among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 11

Changes in DO among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

Furthermore, DO values in CS and SAS processes were depleted to 2.78 ± 0.12 mg/L and 2.64 ± 0.07 mg/L, during the initial 12 h of the soaking, and caused the hypoxia condition in the soaked water. The reason behind this scenario was the prolonged soaking duration and the microbial activities in soaked water (Ali & Mishra 2022). Additionally, these microbial colonies consumed a considerable amount of DO to decompose the organic matter and ultimately reduced the amount of oxygen dissolved in water (Ali & Mishra 2022). Furthermore, after the initial 12 h of soaking, the DO was gradually decreased up to 1.18 ± 0.08 mg/L in the CS process due to the overpopulation of anaerobic microorganisms and the reduction of atmospheric exchange of oxygen into water due to the 1.5 m height soaking tank (Ali & Mishra 2022). Moreover, this is a deviation from past studies where a minimum DO level (0.9 mg/L) in paddy effluent was observed due to the inorganic reductants and microbial activities (Pradhan & Sahu 2004).

As shown in Figure 11(a), after the initial 12 h of the SAS process, a notable rise was observed in the DO profile due to the water circulation. However, the sprinkling of water through the fine holes increased the surface area of the water bubbles and ultimately improved the DO content in soaked water owing to the diffusion of oxygen from the surrounding air (Kamarudin et al. 2020). According to the illustration in Figure 11(a), two saturation–depletion cycles were observed because of the water circulation. After the 12 h of soaking, the DO level rose to the saturation level (7.89 ± 0.07 mg/L) with 70-min aeration process. According to these observations, it is clear that aeration enhanced the DO content because it caused the physical agitation in water bubbles by increasing the surface area and diffusion process (Ali & Mishra 2022). After that, the DO profile was depleted up to 3.21 ± 0.01 mg/L due to the aerobic microbial activities. Additionally, between 16 and 24 h, another oxygen saturation–depletion cycle was observed, and it took more time (2 h) to reach the saturation point (7.42 ± 0.08 mg/L). However, at the end of the SAS process, a rapid reduction in DO content (2.74 ± 0.04 mg/L) was observed due to the excessive proliferation of microbial colonies (Kannan 2015). A similar study on the DO profile the effluent in the SAS process reported a minimum DO content of 1.1 ± 0.4 mg/L (Kannan 2015).

Furthermore, the impact of temperature on the DO profile in paddy (Bg 352) soaking is shown in Figure 11(b). The DO contents at 35, 40, 45, 50, 55, and 60 °C were 5.88 ± 0.05 mg/L, 6.06 ± 0.05 mg/L, 5.4 ± 0.02 mg/L, 5.04 ± 0.07 mg/L, 4.21 ± 0.03 mg/L, and 3.72 ± 0.04 mg/L, respectively. According to that, the availability of DO in soaked water was reduced with an increase in temperature (Tai et al. 2012). Moreover, it has been reasoned that the higher temperature facilitated the molecular vibrations, which caused a decrease in the intermolecular spaces between water molecules (Ali & Mishra 2022). However, this reduction in DO levels with increasing temperature was further explained by Henry's law, and according to that, the solubility of the gases decreased as the temperature increased (Blath et al. 2011; Sander 2015). According to the previous literature, increasing temperature from 30 to 120 °C, the CO2 solubility decreased and increased Henry's law constant (Blath et al. 2011). Ultimately, it reduced the ability of water to retain gases. Considering all this information, it is clear that as the temperature rises, the ability of water to retain oxygen diminishes, which aligns with this investigation.

Furthermore, effluent with a low DO profile was released from modern rice mills, which followed the hot water soaking process, and had drastic impacts on the environment with its high chemical oxygen demand (COD) (Ramalingam & Raj 1996; Kumar & Deswal 2021). Additionally, the reported COD value in the hot water soaking process was 2,491 mg/L, and higher temperatures accelerated the decomposition of complex organic materials, resulting in elevated COD (Ramalingam & Raj 1996). Based on the DO dynamics in the soaked water, the minimum DO value (1.18 ± 0.08 mg/L) was observed in the CS process due to the prolonged soaking duration (Ramalingam & Raj 1996). Furthermore, hot water soaking caused significant reduction in DO with higher energy consumption. Therefore, considering all these difficulties, the SAS process was investigated to minimize the effluent strength in an eco-friendly manner (Kannan 2015). In conclusion, the SAS process is more favourable than the CS and hot water soaking processes.

Changes in turbidity among different soaking methods

Turbidity is a reduction in water clearance due to the presence of suspended matter, which tends to absorb light (Grobbelaar 2009). However, this reduction in water clarity occurred because of the presence of organic compounds, pigments, proteins, vitamins, and sugars in the water (Bayram et al. 2004b). Additionally, the volume of water reused during the subsequent soaking procedure is interpreted using the turbidity determination (Bayram et al. 2004b). Furthermore, Figure 12 displays the changes in turbidity among the CS, SAS, and hot water soaking processes. The observed pattern for the turbidity in CS and SAS appeared qualitatively similar to each other during the initial 12 h of the soaking processes, and it was clearly illustrated using Figure 12(a). The initial turbidity of the soaked water (6 NTU) in the CS and SAS processes was increased up to 181.5 ± 3.5 NTU and 181.0 ± 4.2 NTU, respectively, during the initial 2 h of the soaking process due to the extraction of pigments and other soluble compounds (sugars and protein) into the soaked water (Mukherjee et al. 2018).
Figure 12

Changes in turbidity among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Figure 12

Changes in turbidity among different soaking methods: (a) CS and SAS and (b) hot water soaking.

Close modal

After that, the turbidity of the soaked water was increased at a decreasing rate up to 12 h. The cause of this was the compounds (sugars, soluble proteins, vitamins, and non-starch bound lipids) that were leached into the effluent during the soaking process (Bayram et al. 2004b; Yu et al. 2017). Moreover, the turbidity of the soaked water was significantly affected by the soaking duration and the temperature (Bayram et al. 2004b). However, based on Figure 12(a), turbidity was increased during 48 h, and the maximum turbidity (501.0 ± 1.4 NTU) was achieved at the end of the CS process. In addition, after the 12 h of the soaking, a significant increase was observed in the SAS process. This rapid escalation was noticed because of the circulation of water. However, TS content in the soaked water was the primary cause of the greater turbidity that was observed during the SAS process. According to Section 3.3.4, the TS content of the soaked water was increased up to 1.717 ± 0.027 g/L, comparatively considerable increase in the turbidity level (510.0 ± 1.4 NTU) was observed at the end of the SAS process. It is important to note that the turbidity increase was noticed owing to the increase in suspended solids (Packman et al. 1999).

Figure 12(b) represents the turbidity level at different soaking temperatures, and the increase in temperature modified the turbidity of the soaked water. The measured turbidity levels at 35, 40, 45, 50, 55, and 60 °C were 334.0 ± 7.07 NTU, 365.0 ± 5.66 NTU, 398.0 ± 5.66 NTU, 436.0 ± 7.07 NTU, 462.5 ± 6.36 NTU, and 521.0 ± 4.24 NTU, respectively. The change in turbidity at low temperature (35 °C) was less than at 60 °C due to the effect of temperature on the leaching of solid constituents (Bayram et al. 2004b). In case of higher temperatures, random movement of suspended particles was accelerated, resulting in a higher turbidity condition (Shi et al. 2022). However, this irregular physical motion of tiny particles in the fluid was referred to as the Brownian motion (Shi et al. 2022). Furthermore, a related study was reported by Bayram et al. (2004b), and in that literature, the turbidity in the effluent showed 46.09% increase from 30 to 50 °C due to the increase in temperature. Based on these results, it is obvious that an elevated temperature tends to increase the turbidity in the soaked water.

Furthermore, the measured turbidity values at the end of CS, SAS, and hot water soaking processes were 501.0 ± 1.4 NTU, 510.0 ± 1.4 NTU, and 521.0 ± 4.24 NTU, respectively. Remarkably, these turbidity values were observed as a result of leached solids from the paddy grains, which interfered with the penetration of light, resulting in environmental pollution (Kumar Karnena & Saritha 2022). Moreover, prolonged attenuation in light declined the photosynthesis process (Bessell-Browne et al. 2017). Hot water soaking has a more pronounced effect on the environment than the CS and SAS treatments in terms of turbidity. Moreover, the CS encompasses a lower turbidity level (501.0 ± 1.4 NTU) than the SAS process (510.0 ± 1.4 NTU). Anyhow, it required a prolonged duration (48 h) with larger quantity of water for the soaking process. Considering all these insights, the SAS process is more favourable than the other soaking methods, and further innovations are needed to show better efficiency in the parboiling process.

Changes in microbial colonies among different soaking methods

Figure 13 presents the findings of the research study on the impact of microbial colonies among different soaking methods. Soaked water contains different types of microorganisms (aerobic bacteria and anaerobic bacteria), which cause off-odour development in the soaked water (Roy et al. 2011; Champathi Gunathilake 2018). Comparing all other treatments, the CS process showed the highest microbial colonies (23.75 × 106/mL) due to the extended soaking duration of 48 h at ambient temperature (28 °C), which provided a favourable environment to multiply the microbial colonies. Moreover, ambient temperature enhanced the enzymic activities of microorganisms, and higher temperatures induced the enzyme denaturation process (Wei 2015). A similar trend was observed in the microbial count by Ramalingam & Raj (1996) and quantified microbial colonies (23.75 × 106/mL) were lower than the reported value (203.8 × 106/mL) due to external factors: water, appropriate pH, nutrients, and a suitable environment for better proliferation (Tronnolone et al. 2018).
Figure 13

Changes in microbial colonies among different soaking methods: CS, SAS, and hot water.

Figure 13

Changes in microbial colonies among different soaking methods: CS, SAS, and hot water.

Close modal

During the soaking process, starch, proteins, and fat, along with other nutrients, undergo considerable changes, simultaneously leaching certain vitamins and minerals from the grains (Rocha-Villarreal et al. 2018). For instance, Roy et al. (2011) reported that the total sugar content in paddy effluent was 47 mg/L, which provided the substrate for microbial growth. It is obvious that these reducing sugars (glucose and fructose) act as an energy source for the microorganisms and enhance their growth and metabolism (Gomes et al. 2010; Jufri 2020). Furthermore, as shown in Figure 13, the microbial count in the SAS process was reduced by 49.32% from the CS process because of the water circulation process. Moreover, water circulation created an artificial aerobic environment that diminished the anaerobic microbial proliferation inside the soaking column. Accordingly, it has been evidenced using changes in the DO profile in Section 3.3.5, and according to the DO level in the CS and SAS processes, the obtained DO values were 1.18 ± 0.08 mg/L and 2.74 ± 0.04 mg/L, respectively.

According to the illustration in Figure 13, the lowest microbial count (22.5 × 104/mL) was noticed at 35 °C, while the higher microbial proliferation (77.5 × 104/mL) was detected at 60 °C during the hot water soaking process. Even though the effluent included a considerable amount of nutrients, the hot water soaking procedure promoted fewer microbial colonies than the other soaking techniques. It is obvious that due to the acceleration of water molecules’ vibrations with temperature, the available oxygen content was reduced to 4.24 ± 0.07 mg/L (60 °C) as mentioned in Section 3.3.5. Ultimately, it improved the competition between microbes for the available resources and reduced the aerobic microbial population in soaked water with a shorter time period.

Furthermore, direct discharge of this soaked water with a higher population of microbes and leached nutrients, namely, organic and inorganic matter, caused the eutrophication effect, which led to undesirable growth of vegetative structures and algal bloom in the surface water bodies (Kumar & Deswal 2021). For instance, direct disposal of soaked water in the CS process with a higher microbial count and lower oxygen level caused significant damage to the environment, resulting in the mortality of aquatic animals (Kumar & Deswal 2021). Moreover, stagnant soaked water with higher microbial activities acts as a major source of health hazards (Karunaratne & Gunasekera 2009). In addition, due to the aeration process, anaerobic microbes tend to minimize their proliferation while reducing the pungent odour (Kannan 2015). Comparing all these reported works and findings, the SAS process was suggested as an eco-friendly method for the paddy parboiling industry.

Changes in BOD among different soaking methods

The changes in BOD among CS, SAS, and hot water soaking processes are represented by Figure 14. The BOD is the amount of oxygen required for aerobic microorganisms in water to oxidize organic substances (Jouanneau et al. 2014). Moreover, the excessive BOD level in the rice mill effluent is the major indicator of organic pollution in water (Jouanneau et al. 2014; Choudhary et al. 2015). Water temperature, DO content, water flow, and nutrient level (ammonia and nitrate) are the crucial factors for determining the BOD level, and researchers reported the inverse relationship between BOD and DO levels, which directly impacted the aquatic ecosystem (Dogan et al. 2009). As shown in Figure 14, an elevated level of BOD (1411.5 ± 17.68 mg/L) was observed in the CS process due to the extended soaking duration (48 h) with higher organic materials and microbial colonies. It has been proven in this study, Section 3.3.7, that higher microbial colonies (23.75 × 106/mL) were observed in the CS system compared to the SAS and hot water soaking methods. These microbial colonies consumed the DO in the water, and ultimately, they improved the demand for oxygen in the soaked water.
Figure 14

Changes in BOD among different soaking methods: CS, SAS, and hot water soaking.

Figure 14

Changes in BOD among different soaking methods: CS, SAS, and hot water soaking.

Close modal

In addition, Roy et al. (2011) discovered that the BOD level of CS was 1,039 mg/L, which deviated from the measured BOD level during the CS process (1411.5 ± 17.68 mg/L) due to external factors: temperature, soaking duration, and initial DO concentration (Roy et al. 2011; Kamarudin et al. 2020). Furthermore, the extended soaking duration facilitated the growth of microorganisms, compromising the various types of anaerobic bacteria, lactic acid bacteria, Staphylococci, and yeast (Miah et al. 2002). As shown in Figure 14, a considerable reduction in the BOD value (58.4%) was observed during the end of the SAS process compared to the CS. This reduction was primarily due to the water circulation process, and it created the aerobic environment inside the soaking tank. This resulted in the addition of oxygen to the soaking column, which improved the oxygen level in the soaked water (Kannan 2015). Moreover, this oxygen oxidized the organic material and reduced the demand for oxygen. Based on the previous findings, the reported BOD value for the SAS process was 750 mg/L, which was substantially greater than the value observed in this study (586.5 ± 12.02 mg/L). This was due to the initial DO level (8.12 mg/L) and organic matter content of the soaked water (Kannan 2015). However, based on these quantified BOD values, the BOD level in the CS process was obviously greater than the SAS process.

Furthermore, as shown in Figure 14, the BOD values were increased from 60 ± 5.66 mg/L (35 °C) to 379.5 ± 6.36 mg/L (60 °C) with increasing temperature. It is obvious that the temperature caused a significant impact on the BOD values in the paddy soaking process. However, when the soaking temperature escalated up to 60 °C, a considerable increase in the BOD value (379.5 ± 6.36 mg/L) was noticed during the soaking process. The reason behind this phenomenon is the effect of the DO level in soaked water, and the reduction of DO content caused the elevated BOD level (Kamarudin et al. 2020). The higher temperature reduced the solubility of the DO level and exacerbated the BOD level in soak water because of the acceleration of microbial activities (Kamarudin et al. 2020). Moreover, Roy et al. (2011) investigated that the BOD level in the hot water soaking process (30 mg/L–129 mg/L) was significantly lower than the current study value because of the variation in the microbial population and organic matter content of the soaked water (Roy et al. 2011).

Furthermore, continuous discharge of soaked water with higher BOD values caused the eutrophication effect in water bodies, resulting in oxygen depletion conditions with mortality of aquatic animals (Kumar & Deswal 2021). Lower BOD values were obtained during the hot water soaking process compared to the CS. The direct discharge of effluent with a higher BOD level and leached nutrients performed the greater adverse impact on the environment. Therefore, pretreatment methods for the soaked water were required before release into the environment. Overall, these findings highlighted the effluent strength in terms of BOD in different soaking methods, and further systematic modifications are required for the SAS approach to obtain maximum efficiency.

Leaching and absorption kinetics

Leaching kinetics

Analysis of nutrients leaching in paddy grains provides valuable insights to improve the nutrient content in the final product and reduce environmental disturbance. Commonly, researchers used this model to evaluate the dissolution behaviours of lecithin in samples (Kumar et al. 2010). In this study, the pseudo-second-order model was used to analyze the leaching of solids during the paddy soaking process. The linearized pseudo-second-order equation plot of t/c against t for TS concentration in CS, SAS, and hot water soaking processes was presented. The relationship between t/c and t is clearly represented in Figure 15, and k and cs were determined from the slope and intercept of Figure 15.
Figure 15

Pseudo-second-order kinetic model for leaching analysis of CS and SAS processes.

Figure 15

Pseudo-second-order kinetic model for leaching analysis of CS and SAS processes.

Close modal
Furthermore, the leaching rate was quantified using Equation (2.9.5) in Section 2.9.1, and the graph was fragmented into four different phases to observe the trend of the leaching rate during the hot water soaking process. The reason behind this phase separation was the reduction of soaked time with increasing temperature, and it has been clearly illustrated in Figure 16.
Figure 16

Pseudo-second-order kinetic model for leaching analysis in the hot water soaking processes: (a) complete soaking process and (b) fragmented into four phases.

Figure 16

Pseudo-second-order kinetic model for leaching analysis in the hot water soaking processes: (a) complete soaking process and (b) fragmented into four phases.

Close modal

Furthermore, the pseudo-second-order parameters, along with the regression values (R2) and leaching rates (Vd), are listed in Table 2. As presented in Table 2, the experimental cs values approximately coincided with the theoretical cs values quantified by the pseudo-second-order model. The obtained experimental and theoretical cs values during the CS process were 1.236 and 0.809 g/L, respectively. However, TS content, which was leached during the CS process, was fitted with the pseudo-second-order model at the end of the complete soaking process, as shown in Figure 15. In addition, the linearized second-order model was reasonably fitted with the SAS process with experimental cs (1.717 g/L) and theoretical cs values (1.444 g/L). Additionally, the calculated cs value in SAS process was increased by 52.78% compared to the CS process. This increase was observed in the SAS process owing to the water circulation process, due to which the leaching process was accelerated and the solid gradient was diminished between the paddy grains and soaked water (Neshankine & Kannan 2021). It has been evidenced in Section 3.3.4, and the obtained concentration of TS (1.717 ± 0.027 g/L) was greater than the other soaking processes.

Table 2

Parameters of the pseudo-second-order kinetic model for leaching analysis of paddy grains

Soaking methodComplete processPhase 1Phase 2Phase 3Phase 4
CS cs cal (g/L) 0.809     
 cs exp (g/L) 1.236     
 k 8.73 × 10−4     
 Vd (g/L.min) 1.3 × 10−3     
 R2 0.84     
SAS cs cal (g/L) 1.444     
 cs exp (g/L) 1.717     
 k 5.59 × 10−4     
 Vd (g/L.min) 1.65 × 10−3     
 R2 0.22     
Hot water soaking       
35 °C cs cal (g/L) 1.269 0.278 1.127 3.067 2.350 
 cs exp (g/L) 1.316 0.694 0.848 1.151 1.316 
 k 1.98 × 10−3 0.1003 4.05 × 10−3 1.43 × 10−3 1.3 × 10−3 
 Vd (g/L.min) 3.43 × 10−3 0.048 2.91 × 10−3 1.89 × 10−3 2.3 × 10−3 
 R2 0.72 0.9936 0.91 0.55 0.74 
40 °C cs cal (g/L) 1.543 0.395 0.787 19.530 1.514 
 cs exp (g/L) 1.482 0.856 0.991 1.463 1.482 
 k 2.54 × 10−3 0.049 8.37 × 10−3 1.18 × 10−3 3.2 × 10−3 
 Vd (g/L.min) 5.58 × 10−3 0.036 8.22 × 10−3 2.53 × 10−3 6.9 × 10−3 
 R2 0.71 0.92 0.99 0.02 0.99 
45 °C cs cal (g/L) 1.418 0.719 1.243 5.089  
 cs exp (g/L) 1.678 1.114 1.304 1.678  
 k 4.87 × 10−3 0.0167 7.67 × 10−3 1.60 × 10−3  
 Vd (g/L.min) 0.014 0.021 13.0 × 10−3 4.51 × 10−3  
 R2 0.89 0.93 0.99 0.68  
50 °C cs cal (g/L) 1.433 0.792 5.721   
 cs exp (g/L) 1.757 1.207 1.757   
 k 5.78 × 10−3 0.0293 2.15 × 10−3   
 V (g/L min) 17.8 × 10−3 0.043 6.64 × 10−3   
 R2 0.80 0.91 0.26   
55 °C cs cal (g/L) 1.579 1.268 2.606   
 cs exp (g/L) 1.865 1.583 1.865   
 k 0.012 0.024 4.93 × 10−3   
 V (g/L min) 0.0417 0.060 17.1 × 10−3   
 R2 0.93 0.93 0.94   
60 °C cs cal (g/L) 1.577 1.577    
 cs exp (g/L) 1.964 1.964    
 k 0.021 0.021    
 V (g/L min) 0.081 0.081    
 R2 0.93 0.93    
Soaking methodComplete processPhase 1Phase 2Phase 3Phase 4
CS cs cal (g/L) 0.809     
 cs exp (g/L) 1.236     
 k 8.73 × 10−4     
 Vd (g/L.min) 1.3 × 10−3     
 R2 0.84     
SAS cs cal (g/L) 1.444     
 cs exp (g/L) 1.717     
 k 5.59 × 10−4     
 Vd (g/L.min) 1.65 × 10−3     
 R2 0.22     
Hot water soaking       
35 °C cs cal (g/L) 1.269 0.278 1.127 3.067 2.350 
 cs exp (g/L) 1.316 0.694 0.848 1.151 1.316 
 k 1.98 × 10−3 0.1003 4.05 × 10−3 1.43 × 10−3 1.3 × 10−3 
 Vd (g/L.min) 3.43 × 10−3 0.048 2.91 × 10−3 1.89 × 10−3 2.3 × 10−3 
 R2 0.72 0.9936 0.91 0.55 0.74 
40 °C cs cal (g/L) 1.543 0.395 0.787 19.530 1.514 
 cs exp (g/L) 1.482 0.856 0.991 1.463 1.482 
 k 2.54 × 10−3 0.049 8.37 × 10−3 1.18 × 10−3 3.2 × 10−3 
 Vd (g/L.min) 5.58 × 10−3 0.036 8.22 × 10−3 2.53 × 10−3 6.9 × 10−3 
 R2 0.71 0.92 0.99 0.02 0.99 
45 °C cs cal (g/L) 1.418 0.719 1.243 5.089  
 cs exp (g/L) 1.678 1.114 1.304 1.678  
 k 4.87 × 10−3 0.0167 7.67 × 10−3 1.60 × 10−3  
 Vd (g/L.min) 0.014 0.021 13.0 × 10−3 4.51 × 10−3  
 R2 0.89 0.93 0.99 0.68  
50 °C cs cal (g/L) 1.433 0.792 5.721   
 cs exp (g/L) 1.757 1.207 1.757   
 k 5.78 × 10−3 0.0293 2.15 × 10−3   
 V (g/L min) 17.8 × 10−3 0.043 6.64 × 10−3   
 R2 0.80 0.91 0.26   
55 °C cs cal (g/L) 1.579 1.268 2.606   
 cs exp (g/L) 1.865 1.583 1.865   
 k 0.012 0.024 4.93 × 10−3   
 V (g/L min) 0.0417 0.060 17.1 × 10−3   
 R2 0.93 0.93 0.94   
60 °C cs cal (g/L) 1.577 1.577    
 cs exp (g/L) 1.964 1.964    
 k 0.021 0.021    
 V (g/L min) 0.081 0.081    
 R2 0.93 0.93    

Furthermore, the second-order kinetic model was used at six different temperatures. In the hot water soaking process, total soaking duration was reduced with increasing temperature, as mentioned in Section 3.3.4. Due to that, the hot water soaking process was fragmented into four phases using soaking duration for clear understanding. According to the overall R2 values in the hot water soaking process, this model was reasonably fitted with experimental data. The experimental cs and theoretical cs values at 35 °C were 1.316 and 1.269 g/L, and the model was fitted for kinetic studies of soluble solids leaching. Obviously, the tabulated k values were gradually reduced during the hot water soaking process. For instance, a gradual reduction in k value was observed during the hot water soaking at 45 °C, and the calculated Vd values were 0.021, 13.0 × 10−3, 4.51 × 10−3 g/L min. Accordingly, it is clear that the concentration gradient was reduced with soaking duration in the hot water soaking process.

Furthermore, due to the increase in temperature from 35 to 60 °C, the leached solid concentration in the soaked water was increased, and according to that, an excess amount of solid (0.648 g/L) was identified in the final effluent. Consequently, the leaching rate was increased from 3.43 × 10−3 to 0.081 g/L min with increasing temperature. However, elevated temperatures enhanced the molecular motion and improved the leaching of solid constituents from the grains (Sobouti et al. 2019). Similar studies were reported by Kumar et al. (2010) using the dissolution kinetic profile of solid materials, and the quantified dissolution rate values were increased from 1874.26 to 5565.25 kg/m3 min due to the effect of temperature (Kumar et al. 2010).

Furthermore, higher temperatures enhanced the moisture absorption process during the initial period of the soaking process, and it absorbed the moisture from the solution due to the hydrophilic nature of the paddy grains (Perez et al. 2012). However, the paddy grains swelled up due to the moisture diffusion process, and excessive swelling induced the subsequent internal stress in paddy grains (Perez et al. 2012). These water molecules provided a medium for the dissolution of solid constituents, and it eliminated valuable nutrients from grains into the soaked water (Costa et al. 2018). According to this literature, it has been clear that hot water soaking caused the higher leaching rate with minimum nutrient retention in grains. With that undesirable impact, the hot water soaking process is considered a less effective approach in the parboiling process. Furthermore, prolonged soaking duration and excessive water requirement minimized the efficiency of the CS process, and considering all these drawbacks, the SAS approach was more suitable for the soaking process in terms of efficiency with retaining the maximum nutrient content.

However, the coefficient of determinations for predicted TS extraction content during the SAS process showed a poor correlation with the experimental data (R2 value 0.22). Therefore, Peleg's extraction model was used as an alternative model to evaluate the leaching of solids during the SAS process. The Peleg model is an empirical model and was initially used to describe the moisture sorption behaviours (Milićević et al. 2021). Moreover, this model has been applied to evaluate the solid–liquid extraction and leaching kinetics of various plant metabolites (phenolics) (N. Milićević et al. 2021). Recently, Peleg's extraction model was used to analyze the leaching of phytochemicals from beans during the hydration process (Kumar et al. 2024). According to that, the graph was plotted using 1/Ct and 1/t as shown in Figure S1, Supplementary information. As presented in Table S1, Supplementary information, the R2 value of the SAS process was 0.56. That value was not accurately matched with the experimental data. Therefore, more extensive research is needed to validate this concept.

Absorption kinetics

The Peleg model is used to describe the water sorption kinetics of foods, and researchers widely applied this model owing to the simplicity of the equation. This model was used for modelling the water absorption process in soybeans and evaluated the K1 and K2 with temperature changes (Pan & Tangratanavalee 2003). According to that, the graph was plotted using moisture content and time, and K1 and K2 constants were obtained from the intercept and slope of Figure 17.
Figure 17

The Peleg model for analyzing the water absorption in CS and SAS processes.

Figure 17

The Peleg model for analyzing the water absorption in CS and SAS processes.

Close modal
The sorption curve of the paddy grains in the hot water soaking process was divided into four sections using time as presented in Figure 18 due to the changes in soaking duration with increasing temperature.
Figure 18

 The Peleg model for analyzing the water absorption in hot water soaking process: (a) complete process and (b) fragmented into four phases.

Figure 18

 The Peleg model for analyzing the water absorption in hot water soaking process: (a) complete process and (b) fragmented into four phases.

Close modal

Furthermore, K1 is the constant associated with mass transfer rate, and higher water absorption resulted in lower K1 values (Turhan et al. 2002). As presented in Table 3, the K1 values of CS and SAS were 25.396 min/% and 23.307 min/%, respectively, and the model was fitted with R2 0.91 in CS and R2 0.68 in the SAS processes. As represented in Table 3, K1 values reduced from 14.308 min/% (35 °C) to 0.7499 min/% (60 °C) with increasing temperature. According to this condition, the water absorption was increased in the paddy grains and reduced the soaking duration, and it was proven in the Section 3.2.1. Adesina et al. (2017) investigated Peleg constant for paddy grains, and found that K1 values for paddy at 50, 60, and 70 °C were 0.75 h/%, 3.79 h/%, and 2.03 h/%, respectively (Adesina et al. 2017). According to that, the magnitude of K1 values in this work was different from prior literature values due to the varietal differences in paddy grains (Turhan et al. 2002).

Table 3

Parameters of the Peleg model for analysing the water absorption in paddy grains

Soaking methodComplete processPhase 1Phase 2Phase 3Phase 4
CS K1 (min/%) 25.396     
 K2 (%−10.0293     
 R2 0.91     
SAS K1 (min/%) 23.307     
 K2 (%−10.0267     
 R2 068     
Hot water soaking       
35 °C K1 (min/%) 14.308 3.6669 12.531 22.733 24.619 
 K2 (%−10.0203 0.1342 0.0462 0.0035 −0.0014 
 R2 0.54 0.88 0.95 0.34 0.03 
40 °C K1 (min/%) 12.106 2.7694 12.718 25.987 17.155 
 K2 (%−10.0222 0.1287 0.039 −0.015 0.0034 
 R2 0.43 0.92 0.89 0.8 0.07 
45 °C K1 (min/%) 6.0701 1.9545 8.6185 14.142  
 K2 (%−10.0281 0.0883 0.0224 −0.0002  
 R2 0.73 0.91 0.99 0.0007  
50 °C K1 (min/%) 2.3878 1.25 4.1724   
 K2 (%−10.0303 0.0521 0.0198   
 R2 0.88 0.89 0.99   
55 °C K1 (min/%) 1.4902 1.0052 3.4753   
 K2 (%−10.0326 0.0429 0.0179   
 R2 0.90 0.91 0.97   
60 °C K1 (min/%) 0.7499 0.7499    
 K2 (%−10.0346 0.0346    
 R2 0.92 0.92    
Soaking methodComplete processPhase 1Phase 2Phase 3Phase 4
CS K1 (min/%) 25.396     
 K2 (%−10.0293     
 R2 0.91     
SAS K1 (min/%) 23.307     
 K2 (%−10.0267     
 R2 068     
Hot water soaking       
35 °C K1 (min/%) 14.308 3.6669 12.531 22.733 24.619 
 K2 (%−10.0203 0.1342 0.0462 0.0035 −0.0014 
 R2 0.54 0.88 0.95 0.34 0.03 
40 °C K1 (min/%) 12.106 2.7694 12.718 25.987 17.155 
 K2 (%−10.0222 0.1287 0.039 −0.015 0.0034 
 R2 0.43 0.92 0.89 0.8 0.07 
45 °C K1 (min/%) 6.0701 1.9545 8.6185 14.142  
 K2 (%−10.0281 0.0883 0.0224 −0.0002  
 R2 0.73 0.91 0.99 0.0007  
50 °C K1 (min/%) 2.3878 1.25 4.1724   
 K2 (%−10.0303 0.0521 0.0198   
 R2 0.88 0.89 0.99   
55 °C K1 (min/%) 1.4902 1.0052 3.4753   
 K2 (%−10.0326 0.0429 0.0179   
 R2 0.90 0.91 0.97   
60 °C K1 (min/%) 0.7499 0.7499    
 K2 (%−10.0346 0.0346    
 R2 0.92 0.92    

Furthermore, K2 is a constant that determined the maximum water absorption capacity, and lower K2 values were associated with the higher water absorption capacities (Turhan et al. 2002). Moreover, the K2 values in CS and SAS processes were 0.0293%−1 and 0.0267%−1, respectively. According to these K2 values, water absorption capacity was higher in the SAS process than in the CS process. Furthermore, as presented in Table 3, the K2 values increased from 0.0203%−1 to 0.0346%−1 with increasing temperature. Moreover, water penetration into the grains was induced due to the increase in temperature and reduced the soaking duration (Turhan et al. 2002).

Comparison of effluent parameters with WHO standards

Table 4 evaluates the environmental impact of paddy effluent and compares the effluent parameters with relevant regulatory standards. The pH value in the SAS process fell within the WHO recommended range (6.5–9.2) (Alhaj et al. 2020). Moreover, a pH of 7.35 ± 0.01 is considered neutral or slightly alkaline, which reduces the risk of harm to aquatic organisms. The TDS level in the CS process ranged from 0.5 to 1.0 g/L, while both SAS and hot water soaking processes exhibited elevated TDS content. This higher TDS level reduced the solubility of gases in soaked water and contributed to negative environmental impacts. For instance, water with elevated TDS level is less suitable for common uses (irrigation), and the higher the TDS, the greater the TS content in the soaked water (Afrad et al. 2020).

Table 4

Comparison of effluent parameters with WHO standards

ParameterCSSASHot water soakingStandard levelReference
pH 6.11 ± 0.04 7.35 ± 0.01 5.79 ± 0.06 6.5–9.2 Alhaj et al. (2020)  
TDS (g/L) 0.945 ± 0.004 1.631 ± 0.027 1.724 ± 0.013 0.5–1.0 Alhaj et al. (2020)  
EC (mS/cm) 1.465 ± 0.023 2.548 ± 0.042 2.651 ± 0.039 0.75 Alhaj et al. (2020)  
DO (mg/L) 1.18 ± 0.08 2.74 ± 0.04 3.72 ± 0.04 6.5–8 Ranaraja et al. (2019)  
BOD (mg/L) 1411.5 ± 17.68 586.5 ± 12.02 379.5 ± 6.36 80 Alhaj et al. (2020)  
ParameterCSSASHot water soakingStandard levelReference
pH 6.11 ± 0.04 7.35 ± 0.01 5.79 ± 0.06 6.5–9.2 Alhaj et al. (2020)  
TDS (g/L) 0.945 ± 0.004 1.631 ± 0.027 1.724 ± 0.013 0.5–1.0 Alhaj et al. (2020)  
EC (mS/cm) 1.465 ± 0.023 2.548 ± 0.042 2.651 ± 0.039 0.75 Alhaj et al. (2020)  
DO (mg/L) 1.18 ± 0.08 2.74 ± 0.04 3.72 ± 0.04 6.5–8 Ranaraja et al. (2019)  
BOD (mg/L) 1411.5 ± 17.68 586.5 ± 12.02 379.5 ± 6.36 80 Alhaj et al. (2020)  

Due to the mathematical relationship between TDS and EC, the highest EC (1.724 ± 0.013 g/L) was observed during the hot water soaking process (60 °C) at 2 h duration. Compared to the CS and SAS processes, hot water soaking required less time but resulted in the highest TDS and TS profiles. Furthermore, BOD is a key factor influencing the effluent strength. Continuous discharge of effluent into the environment can cause hypoxia conditions in surface water bodies (Abdullahi et al. 2021). In the current study data, effluent from the CS process exhibited the highest BOD value (1411.5 ± 17.68 mg/L), and obviously it was greater than the recommended value by WHO (Alhaj et al. 2020). This was primarily due to the DO profile of the effluent, attributed to the prolonged soaking duration.

In summary, both the CS and hot water soaking processes resulted in greater changes in effluents, particularly in terms of TDS, EC, and BOD levels. However, the SAS process produced effluent with the least environmental impact compared to the CS and hot water soaking processes. Therefore, the SAS process is recommended as an alternative method to mitigate these obstacles and improve the environmental quality around the parboiling industry.

Economic analysis for different soaking processes: CS, SAS, and hot water soaking

Table 5 describes the cost-effectiveness of the different soaking methods in this lab-scale experiment. As presented in Table 5, Rs 344.00 was spent to soak the 1 kg of paddy in the CS process. But it took 48 h to complete the soaking process. The highest cost (Rs 2996.25/kg) was observed for the SAS process compared to the other two methods owing to the installation cost. However, it required less energy compared to the hot water soaking process. For instance, the electricity cost of the hot water soaking process was Rs 50, and for the SAS process, it was Rs 9.00. Moreover, it reduced the energy usage with less environmental damage compared to the hot water soaking process.

Table 5

Cost analysis for different soaking processes: CS, SAS, and hot water soaking

Unit price (Rs)CS (Rs)SAS (Rs)Hot water soaking (60 °C) (Rs)
Experimental setup – 1,000 1,600 – 
Water pressure pump 1,000.00 – 10,000 – 
Water 3.00 16.00 16.00 16.00 
Paddy 90.00 360.00 360.00 360.00 
Electricity cost 12.00 – 9.00 50.00 
Total cost (for 4 kg) – 1376.00 11985.00 426.00 
Total cost (for 1 kg) – 344.00 2996.25 106.50 
Unit price (Rs)CS (Rs)SAS (Rs)Hot water soaking (60 °C) (Rs)
Experimental setup – 1,000 1,600 – 
Water pressure pump 1,000.00 – 10,000 – 
Water 3.00 16.00 16.00 16.00 
Paddy 90.00 360.00 360.00 360.00 
Electricity cost 12.00 – 9.00 50.00 
Total cost (for 4 kg) – 1376.00 11985.00 426.00 
Total cost (for 1 kg) – 344.00 2996.25 106.50 

In addition, most of the processors used firewood as a raw material during the hot water soaking process to soak the paddy. The ultimate outcome of that was the ash, and it directly affected the environmental quality and human health. Considering this comprehensive analysis, the SAS process reduced the soaking duration and energy consumption compared to the CS hot water soaking processes.

The overall findings of the effluent quality are illustrated in Figure 19, which explains the key outcomes of the effluent parameters with experimental evidence. Based on these findings, SAS is more preferable in terms of environmental quality than the CS and hot water soaking processes. Considering 30% (wb) moisture content, CS required a prolonged soaking duration (48 h) than SAS (24 h) and hot water soaking process (2 h at 60 °C). Furthermore, leached TS and TDS are the major factors that caused the changes in turbidity, pH, and microbial colonies. According to this study, TDS (1.724 ± 0.013 g/L) and TS (1.946 ± 0.045 g/L) content were higher in the hot water soaking process, and it improved the EC content (2.651 ± 0.039 mS/cm) in the soaked water. Because of leached nutrients and TS, effluent in hot water soaking showed a higher turbidity level (521.0 ± 4.24 NTU) and it reduced the light penetration inside the water bodies. Due to the leached nutrients and soluble solid, pH of the effluent was changed from neutral (7.13) to acidic condition (5.79 ± 0.06 at 60 °C) in the hot water soaking process.
Figure 19

Overall summary of the experimental findings.

Figure 19

Overall summary of the experimental findings.

Close modal

According to the present study, TS was higher in the hot water soaking process. Because of that, the expected BOD level should be higher in the hot water soaking process. However, in this investigation, a higher BOD level (1411.5 ± 17.68 mg/L) was observed in the CS process due to the extended soaking duration. Because of this finding, obviously, the BOD of the soaked water was in line with the microbial count. Higher microorganisms (23.75 × 106/mL) were observed at the ambient temperature, and these microbes were reduced with the increasing temperature due to the thermal sensitivity. Furthermore, the leaching rate of the solid was gradually increased with increasing temperature and a higher leaching rate (0.081 g/L min) was detected in the hot water soaking process (60 °C). However, the hot water soaking process released low-quality effluent in terms of TS, TDS, EC, and turbidity content in the soaked water.

There were some mechanisms that contributed to the observed differences in these soaking methods. According to that, CS is the common process of the paddy parboiling, and it combines with the diffusion process. Slower diffusion was identified in the CS process compared to the SAS and hot water soaking processes. The aeration process facilitated the movement of water molecules and soluble substances through grains and resulted in faster moisture absorption. Moreover, the anaerobic microbial activities declined during the SAS process, and this improved the DO profile of the soaked water more than the CS. Anyhow, compared to the CS and SAS processes, the hot water soaking showed the greater solids leaching (TS, TDS, EC, and turbidity) due to the elevated temperature, because the higher the temperature, the greater the kinetic energy of the water molecules and the more enhanced the solubility of the substances. Based on all aforementioned information, the SAS process is more preferable than the CS and hot water soaking processes in terms of higher nutrient retention with minimum resource utilization.

Based on the findings of this study, the hot water soaking causes a considerable amount of nutrient leaching and an undesirable impact on the nutritional quality of paddy grains. Moreover, 2 h duration was required to attain 30% moisture content (wb) during the hot water soaking (60 °C) process, and it showed a higher leaching rate (0.081 g/L min) than the CS (28 °C). Additionally, the SAS approach showed lower levels of TS (1.717 ± 0.027 g/L) compared to the hot water soaking, showing its superior performance in striking a compromise between environmental sustainability and efficiency. When compared to the hot water soaking (379.5 ± 6.36 mg/L), the CS showed a higher BOD value (1411.5 ± 17.68 mg/L). In conclusion, effluent in CS and hot water soaking processes serve as a major indicator of environmental pollution.

To make clear the primary results of the soaking processes, experimental data are used to depict the overall effluent quality findings in Figure 19. Furthermore, not much research has been conducted to analyze the leaching kinetics of solids in paddy effluent, and this study organized to demonstrate the leaching rate in different soaking methods. Moreover, this investigation offers vital insights into the environmental effects of effluent produced during the parboiling process from various paddy soaking techniques with an emphasis on reducing the issues related to effluent release. Furthermore, this study demonstrates novel approaches that are needed in commercial-scale paddy parboiling to reduce soluble solids leaching and effluent strength and, subsequently, the ecological impact.

To ensure practical relevance, the study's findings suggest that the adoption of optimized soaking methods, such as SAS, could bring significant improvements in resource use and environmental impact within industrial applications. For instance, industries involved in paddy parboiling could benefit from increased water-use efficiency, reduced pollutant loads in effluents, and optimized soaking conditions. These practical recommendations can serve as valuable guidelines for promoting more sustainable and efficient practices in rice processing. Moving forward, further research should focus on accelerating these improvements, facilitating the broader adoption of environmentally responsible practices within the parboiling industry.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Abdullahi
A. B.
,
Siregar
A. R.
,
Pakiding
W.
&
Mahyuddin
(
2021
)
The analysis of BOD (Biological Oxygen Demand) and COD (Chemical Oxygen Demand) contents in the water of around laying chicken farm
,
IOP Conf. Ser. Earth Environ. Sci.
,
788
(
1
),
1
4
.
https://doi.org/10.1088/1755-1315/788/1/012155
.
Adesina
B. S.
,
Olayanju
T. M. A.
,
Dairo
O. U.
,
Bolaji
B. O.
&
Sobukola
O. P.
(
2017
)
Applicability of Peleg's equation in predicting water absorption during the soaking of Ofada and Nerica (L1) rice
,
J. Postharvest Technol.
,
2017
(
4
),
51
61
.
Available at: http://www.jpht.info.
Afrad
M. S. I.
,
Monir
M. B.
,
Haque
M. E.
,
Barau
A. A.
&
Haque
M. M.
(
2020
)
Impact of industrial effluent on water, soil and rice production in Bangladesh: A case of Turag River Bank
,
J. Environ. Heal. Sci. Eng.
,
18
(
2
),
825
834
.
Aghinezhad
E. T.
,
Hoshtaghaza
M. H. K.
,
Inaei
S. M.
,
Uzuki
T. S.
&
Renner
T. B.
(
2016
)
Sciencedirect relationship between degree of starch gelatinization and quality attributes of parboiled rice during steaming
,
23
(
6
),
339
342
.
https://doi.org/10.1016/j.rsci.2016.06.007
.
Alhaj
H. B.
,
El-Ajaily
M. M.
,
Al-Mabrouk
S. H.
,
Al-Noor
N. H.
&
Al-Noor
T. H.
(
2020
)
Evaluation of the properties of sewage water at Koueifieh Hospital-Benghazi, Libya
,
IOP Conf. Ser. Mater. Sci. Eng.
,
871
(
1
),
6
7
.
https://doi.org/10.1088/1757-899X/871/1/012023
.
Ali
B. A.
&
Mishra
A.
(
2022
)
Effects of dissolved oxygen concentration on freshwater fish: A review
,
Int. J. Fish. Aquat. Stud.
,
10
(
4
),
113
127
.
Al-Muhtaseb
A. H.
,
McMinn
W. A. M.
&
Magee
T. R. A.
(
2002
)
Moisture sorption isotherm characteristics of food products: A review
,
Food Bioprod. Process. Trans. Inst. Chem. Eng. Part C
,
80
(
2
),
118
128
.
Aremu
D. O.
,
Babajide
N. A.
&
Ogunlade
C. A.
(
2014
)
Comparison of some engineering properties of common cereal grains In Nigeria
,
International Journal of Engineering Science Invention
,
3
(
4
),
10
14
.
Available at: www.ijesi.org
.
Bayram
M.
,
Oner
M. D.
&
Kaya
A.
(
2004a
)
Influence of soaking on the dimensions and colour of soybean for bulgur production
,
J. Food Eng.
,
61
(
3
),
331
339
.
Bayram
M.
,
Kaya
A.
&
Oner
M. D.
(
2004b
)
Changes in properties of soaking water during production of soy-bulgur
,
J. Food Eng.
,
61
(
2
),
221
230
.
Bello
M.
,
Tolaba
M. P.
&
Suarez
C.
(
2004
)
Factors affecting water uptake of rice grain during soaking
,
Lwt
,
37
(
8
),
811
816
.
Bessell-Browne
P.
,
Negri
A. P.
,
Fisher
R.
,
Clode
P. L.
,
Duckworth
A.
&
Jones
R.
(
2017
)
Impacts of turbidity on corals: The relative importance of light limitation and suspended sediments
,
Mar. Pollut. Bull.
,
117
(
1–2
),
161
170
.
Bhattacharya
K.
&
Subba
P.
(
1966
)
Processing conditions and milling yield
,
Process. Qual. Factors Parboiling Rice
,
14
(
5
),
473
475
.
Blath
J.
,
Christ
M.
,
Deubler
N.
,
Hirth
T.
&
Schiestel
T.
(
2011
)
Gas solubilities in room temperature ionic liquids – Correlation between RTiL-molar mass and Henry's law constant
,
Chem. Eng. J.
,
172
(
1
),
167
176
.
Champathi Gunathilake
D. M. C.
(
2018
)
Application of two temperature hot water soaking for improving of paddy parboiling process
,
Agric. Eng. Int. CIGR J.
,
20
(
4
),
164
168
.
Choudhary
M.
,
Majumder
S.
&
Neogi
S.
(
2015
)
Studies on the treatment of rice mill effluent by electrocoagulation
,
Sep. Sci. Technol.
,
50
(
4
),
505
511
.
Costa
R.
,
Fusco
F.
&
Gândara
J. F. M.
(
2018
)
Mass transfer dynamics in soaking of chickpea
,
J. Food Eng.
,
227
,
42
50
.
Ejebe
C.
,
Kwofie
E. M.
&
Ngadi
M.
(
2019
)
Hydration characteristics of selected varieties of paddy rice from Nigeria
,
Adv. Chem. Eng. Sci.
,
09
(
01
),
65
75
.
Gerber
M. D.
,
Varela Jr
A. S.
,
Caldas
J. S.
,
Corcini
C. D.
,
Lucia
T.
,
Corrêa
L. B.
&
Corrêa.
É. K.
(
2016
)
Toxicity evaluation of parboiled rice effluent using sperm quality of zebrafish as bioindicator
,
Ecol. Indic.
,
61
,
214
218
.
Gomes
S.
,
Dias
L. G.
,
Moreira
L. L.
,
Rodrigues
P.
&
Estevinho
L.
(
2010
)
Physicochemical, microbiological and antimicrobial properties of commercial honeys from Portugal
,
Food Chem. Toxicol.
,
48
(
2
),
544
548
.
Grobbelaar
J. U.
(
2009
)
Encyclopedia of inland waters
,
Encycl. Inl. Waters
,
2
,
699
704
.
Hauser
B.
(
2020
)
Dissolved Oxygen
. In:
Drinking Water Chemistry
,
Boca Raton, FL
:
CRC Press
, pp.
139
144
.
Igathinathane
C.
,
Chattopadhyay
P. K.
&
Pordesimo
L. O.
(
2005
)
Combination soaking procedure for rough rice parboiling
,
Trans. Am. Soc. Agric. Eng.
,
48
(
2
),
665
671
.
IRRI
(
2013
)
‘Quality Kit Manual’
,
Unit, Postharvest, no. January, p. 21
.
Jouanneau
S.
,
Recoules
L.
,
Durand
M. J.
,
Boukabache
A.
,
Picot
V.
,
Primault
Y.
,
Lakel
A.
,
Sengelin
M.
,
Barillon
B.
&
Thouand
G.
(
2014
)
Methods for assessing biochemical oxygen demand (BOD): A review
,
Water Res.
,
49
(
1
),
62
82
.
Jufri
R. F.
(
2020
)
Journal la lifesci microbial isolation
,
J. La Lifesci
,
01
(
01
),
18
23
.
Kale
S. J.
,
Jha
S. K.
&
Nath
P.
(
2017
)
Soaking effects on physical characteristics of basmati (Pusa Basmati 1121) rice
,
Agric. Eng. Int. CIGR J.
,
19
(
4
),
114
123
.
Kamarudin
M. K. A.
,
Wahab
N. A.
,
Bati
S. N. A. M.
,
Toriman
M. E.
,
Saudi
A. S. M.
,
Umar
R.
& Sunardi. (
2020
)
Seasonal variation on dissolved oxygen, biochemical oxygen demand and chemical oxygen demand in Terengganu river basin, Malaysia
,
J. Environ. Sci. Manag.
,
23
(
2
),
1
7
.
Kannan
N.
(
2015
)
Investigation of a resource-efficient technique for paddy parboiling industry
,
World Applied Science Journal
,
33
(
1
),
51
62
.
Karastogianni
S.
,
Girousi
S.
&
Sotiropoulos
S.
(
2015
)
Ph: Principles and measurement
,
Encycl. Food Heal.
,
4
,
333
338
.
Karunaratne
H. W. G. I.
&
Gunasekera
M. Y.
(
2009
)
Removal of pollutants in soak water resulting from parboiling of paddy
,
Eng. J. Inst. Eng. Sri Lanka
,
42
(
4
),
112
.
Kumar
K. V.
,
Khaddour
I. A.
&
Gupta
V. K.
(
2010
)
A pseudo second-Order kinetic expression for dissolution kinetic profiles of solids in solutions
,
Industrial and Engineering Chemistry Research
,
49
(
3
),
7257
7262
.
Kumar
S.
,
Shri
D.
,
Baba
S.
,
Ambikapur
A. M.
,
Dewangan
S. K.
,
Shrivastava
S. K.
,
Kadri
M. A.
,
Saruta
S.
,
Yadav
S.
&
Minj
N.
(
2023
)
‘‘Temperature effect on electrical conductivity(Ec) & Total Dissolved Solids (Tds) of water: A review
.,
Int. J. Res. Anal. Rev.
,
10
(
June
),
514
. .
Kumar
G.
,
Perera
D.
,
Sudheer
K. P.
,
Zhang
P.
&
Dhital
S.
(
2024
)
Leaching of phytochemicals from beans during hydration, kinetics, and modeling
,
Foods
,
13
(
2
),
1
14
.
Leethanapanich
K.
,
Mauromoustakos
A.
&
Wang
Y. J.
(
2016
)
Effect of soaking temperature on commingled rice properties
,
J. Cereal Sci.
,
69
,
267
274
.
Miah
M. A. K.
,
Haque
A.
,
Douglass
M. P.
&
Clarke
B.
(
2002
)
Parboiling of rice. Part II: Effect of hot soaking time on the degree of starch gelatinization
,
Int. J. Food Sci. Technol.
,
37
(
5
),
539
545
.
Milićević
N.
,
Kojić
P.
,
Sakač
M.
,
Mišan
A.
,
Kojić
J.
,
Perussello
C.
,
Banjac
V.
,
Pojić
M.
&
Tiwari
B.
(
2021
)
Kinetic modelling of ultrasound-assisted extraction of phenolics from cereal brans
,
Ultrason. Sonochem.
,
79
,
1
2
.
https://doi.org/10.1016/j.ultsonch.2021.105761
.
Muchlisyiyah
J.
,
Shamsudin
R.
,
Kadir Basha
R.
,
Shukri
R.
,
How
S.
,
Niranjan
K.
&
Onwude
D.
(
2023
)
Parboiled rice processing method, rice quality, health benefits, environment, and future perspectives: A review
,
Agriculture
,
13
(
7
),
1390
.
Mukherjee
R.
,
Chakraborty
R.
&
Dutta
A.
(
2018
)
Soaking of soybean meal : Evaluation of physicochemical properties and kinetic studies
,
J. Food Meas. Charact.
,
13
,
390
403
.
Oli
P.
,
Ward
R.
,
Adhikari
B.
&
Torley
P.
(
2014
)
The diffusion of moisture in paddy during hydration and dehydration processes
,
Dry. Technol.
,
32
(
12
),
1423
1434
.
Packman
J. J.
,
Comings
K. J.
&
Booth
D. B.
(
1999
)
‘Using Turbidity To Determine Total Suspended Solids,’ Using Turbid. to Determ. Total suspended solids Urban. streams Puget Lowl. Confronting Uncertain. Manag. Chang. Water Resour. Environ. Can. Water Resour. Assoc. Annu. Meet. Vancouver, BC, 27–29, no. October, pp. 158–165
.
Pan
Z.
&
Tangratanavalee
W.
(
2003
)
Characteristics of soybeans as affected by soaking conditions
,
Lwt
,
36
(
1
),
143
151
.
Pathiraje
P.
,
Madhujith
W.
,
Chandrasekara
A.
&
Nissanka
S.
(
2011
)
The effect of rice variety and parboiling on in vivo glycemic response
,
Trop. Agric. Res.
,
22
(
1
),
26
.
Peleg
M.
(
1988
)
An Empirical Model for the Prediction
,
Journal of Food Science
,
53
(
4
),
1216
1217
.
Pereira
C. L.
,
Sousa
I.
,
Lourenço
V. M.
,
Sampaio
P.
,
Gárzon
R.
,
Rosell
C. M.
&
Brites
C.
(
2024
)
Relationship between physicochemical and cooking quality parameters with estimated glycaemic index of rice varieties
,
Foods
,
13
(
1
),
2
4
.
https://doi.org/10.3390/foods13010135
.
Pradhan
A.
&
Sahu
S. K.
(
2004
)
Process details and effluent characteristics of a rice mill in the Sambalpur District of Orissa
,
J. Ind. Pollut. Control
,
20
(
1
),
111
124
.
Ramalingam
N.
&
Raj
S. A.
(
1996
)
Studies on the soak water characteristics in various paddy parboiling methods
,
Bioresour. Technol.
,
55
(
3
),
259
261
.
Ranaraja
C. D. M. O.
,
Arachchige
U. S. P. R.
&
Rasenthiran
K.
(
2019
)
Environmental pollution and its challenges in Sri Lanka
,
Int. J. Sci. Technol. Res.
,
8
(
7
),
417
419
.
Reddy
B. S.
&
Chakraverty
A.
(
2004
)
Physical properties of raw and parboiled paddy
,
Biosystems Engineering
,
88
,
461
466
.
Roy
P.
,
Orikasa
T.
,
Okadome
H.
,
Nakamura
N.
&
Shiina
T.
(
2011
)
Processing conditions, rice properties, health and environment
,
Int. J. Environ. Res. Public Health
,
8
(
6
),
1957
1976
.
Rusydi
A. F.
(
2018
)
Correlation between conductivity and total dissolved solid in various type of water: A review
,
IOP Conf. Ser. Earth Environ. Sci.
,
118
(
1
),
1
4
.
https://doi.org/10.1088/1755-1315/118/1/012019
.
Sayanthan
S.
&
Thusyanthy
Y.
(
2018
)
Rice parboiling and effluent treatment models; a review
,
Int. J. Res. Stud. Agric. Sci.
,
4
(
5
),
2454
6224
.
Available at: www.arcjournals.org.
Setyaningsih
W.
,
Hidayah
N.
,
Saputro
I. E.
,
Palma
M.
&
García Barroso
C.
(
2016
)
Profile of phenolic compounds in Indonesian rice (Oryza sativa) varieties throughout post-harvest practices
,
J. Food Compos. Anal.
,
54
,
55
62
.
Shi
M.
,
Ma
J.
&
Zhang
K.
(
2022
)
The impact of water temperature on In-Line turbidity detection
,
Water (Switzerland)
,
14
(
22
),
1
11
.
Sobouti
A.
,
Rezai
B.
,
Hoseinian
F. S.
&
Moradkhani
D.
(
2019
)
Optimization and kinetics studies of lead concentrate leaching using fluoroboric acid
,
Physicochem. Probl. Miner. Process.
,
55
(
4
),
1014
1027
.
Taghinezhad
E.
,
Khoshtaghaza
M. H.
,
Minaei
S.
&
Latifi
A.
(
2015
)
Effect of soaking temperature and steaming time on the quality of parboiled Iranian paddy rice
,
Int. J. Food Eng.
,
11
(
4
),
547
556
.
Tai
H.
,
Yang
Y.
,
Liu
S.
&
Li
D.
(
2012
)
A review of measurement methods of dissolved oxygen in water
,
IFIP Adv. Inf. Commun. Technol.
,
369
(
PART 2
),
569
576
.
AICT
.
Tronnolone
H.
,
Tam
A.
,
Szenczi
Z.
,
Green
J. E. F.
,
Balasuriya
S.
,
Tek
E. L.
,
Gardner
J. M.
,
Sundstrom
J. F.
,
Jiranek
V.
,
Oliver
S. G.
&
Binder
B. J.
(
2018
)
Diffusion-Limited growth of microbial colonies
,
Sci. Rep.
,
8
(
1
),
1
11
.
Turhan
M.
,
Sayar
S.
&
Gunasekaran
S.
(
2002
)
Application of Peleg model to study water absorption in chickpea during soaking
,
J. Food Eng.
,
53
(
2
),
153
159
.
Varnamkhasti
M. G.
,
Mobli
H.
,
Jafari
A.
,
Keyhani
A. R.
,
Soltanabadi
M. H.
,
Rafiee
S.
&
Kheiralipour
K.
(
2008
)
Some physical properties of rough rice (Oryza Sativa L.) grain
,
J. Cereal Sci.
,
47
(
3
),
496
501
.
Waters
N.
,
Zang
C.
,
Huang
S.
&
Wu
M.
(
2011
)
Comparison of relationships between pH, dissolved oxygen and chlorophyll a for aquaculture
,
Water, Air, and Soil Pollution
,
219
(
1–4
),
157
174
.
Wei
A. A. Q.
(
2015
)
The effect of temperature on the growth rate of Saccharomyces cerevisiae
,
Bio
,
10079168
,
1
9
.
Yu
L.
,
Turner
M. S.
,
Fitzgerald
M.
,
Stokes
J. R.
&
Witt
T.
(
2017
)
Review of the effects of different processing technologies on cooked and convenience rice quality
,
Trends Food Sci. Technol.
,
59
,
124
138
.
Zhu
L.
,
Wu
G.
,
Cheng
L.
,
Zhang
H.
,
Wang
L.
,
Qian
H.
&
Qi
X.
(
2019
)
Effect of soaking and cooking on structure formation of cooked rice through thermal properties, dynamic viscoelasticity, and enzyme activity
,
Food Chem.
,
289
(
October 2018
),
616
624
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).

Supplementary data