The aim of the study was to investigate the possibility to use acid-treated sugarcane bagasse ash (SCBA) as a coagulant. The effects of type of acid, coagulant dose, time and pH on the coagulation characteristic were investigated. Synthetic turbid water was used for the tests. The coagulants were treated with H2SO4 (SSCBA) and HCl (HSCBA). A 6% m/v solid loading (S/L) of HSCBA reduced turbidity by 97.7% whilst an 8% m/v S/L of SSCBA reduced turbidity by 90.9%. Both coagulants exhibited hindered, transition and compression settling characteristics, however HSCBA had a faster settling pattern. Turbidity reduction was best in the 6–10 pH range where there was over 90% turbidity reduction from an initial synthetic turbid water of 110 nephelometric turbidity units (NTU). Both coagulants were tested against natural highly turbid river water, and it was shown that only the HSCBA could reduce turbidity from 1,644 NTU to 2 NTU over 100 min. It was also shown that an overflow rate allowance of 0.01 cm/s could achieve 90% turbidity reduction using HSCBA when the type 1 settling was used for empirical calculations. The use of HSCBA was also shown to result in an insignificant amount of residual pH, Fe, Cu and Zn in the treated water. This therefore makes the use of HSCBA favorable in that it does not change the chemistry of the treated water.

  • Novel acid-treated sugarcane bagasse ash coagulant.

  • HCl-treated sugarcane bagasse ash has no significant residual effect on the treated water.

  • Potential to be used instead of inorganic coagulants.

  • Capable of treating high turbid water.

  • Valorisation of waste.

Graphical Abstract

Graphical Abstract

The provision of portable water requires the treatment of the raw water before being supplied to consumers. One of the processes involved in the treatment of raw water is coagulation (Katrivesis et al. 2019). Coagulation is a process sedimentation process of suspended solids in raw water through the destabilization of suspended particles to form microflocs (Pernitsky & Edzwald 2006). Coagulation has also been reported to remove or reduce colour in some waste streams (Aboulhassan et al. 2006). The most common coagulant in Africa is alum due to its relatively low cost and high effectiveness. The environmental and health effects of alum is of major concern due to their residual content in treated waters (Zhong et al. 2016). It has been shown that the residual Al from the use of alum has appositive association with Alzheimer's disease (Katrivesis et al. 2019). The use of alum is also associated with voluminous sludge which is not easily dewatered (Katrivesis et al. 2019). Synthetic coagulants are also associated with the increase in conductivity of treated water since they are added as salts (Nath et al. 2021).

Dictates of sustainable development and circular economy advocate for the use of waste materials as secondary resources. This allows the reduction of pressure to landfill waste and allows the waste to be kept in the economic cycle. Valorisation of waste is one of the benefits of recycling leading to a waste to wealth model. Many other coagulants require natural resources for their production, yet the use of sugarcane bagasse ash may prove to be inexpensive. It is in this vein that sugarcane bagasse ash was used as a possible precursor for the synthesis of a coagulant. The bulk of the bagasse ash is used as a fertiliser by the milling companies. It is well known that SCBA is capable of leaching metals into the environment. The alternative use of SCBA would assist in adding value to the waste for sugar milling companies. The use of secondary resource materials allows for recycling and also helps resource-starved countries to save the little bit of foreign currency they have. Some coal fly ash coagulants/flocculants have been reported in literature, but SBCA-based coagulants are rare (Li et al. 2009; Yan et al. 2012; Wang et al. 2020). Other natural coagulants that have been researched include chitosan, various plant seeds, bark, leaves and peels. These plants include pumpkin, moringa oleifera, banana, cassava to mention only a few (Abatneh et al. 2014; Al-Sameraiy 2017; Katrivesis et al. 2019; Owodunni & Ismail 2021).

SCBA is the incineration residue left after the burning of sugarcane bagasse in boilers of sugar mills for energy production (Chingono et al. 2018). SCBA contains unburnt carbon and hence the black colour of the ash due to low efficiencies of most sugar mill boilers (Rasul & Rudolph 2000). The main oxides associated with SCBA are SiO2, Al2O3, Fe2O3 and CaO (Yadav et al. 2020). SCBA has successfully been used as an adsorbent for metals (Yadav et al. 2014), chemical oxygen demand removers (Chingono et al. 2018), supplementary cementitious material (Joshaghani et al. 2016) and production of zeolites through hydrothermal treatment (Shah et al. 2013).

Silica and alumina have been shown to be possibly responsible for the colloidal nature of coagulants (Yan et al. 2012). Acid treatment therefore removes the basic oxides of a coagulant and therefore increases the relative quantities of silica, alumina and iron oxide in the acid-treated coagulant. These oxides play an important role in coagulation.

The objective of this research was to study the (1) synthesise and characterise a coagulant by acid leaching of sugar cane bagasse ash; (2) evaluate the coagulant effectiveness in the reduction of turbidity of synthetic water and (3) investigate the practical applications of the coagulants in treating river water.

The SCBA was obtained from Illovo Sugar Company mill in Chikwawa Malawi. The main oxides in the SCBA were found to be (all % are m/m) MgO (2.594%), Al2O3 (5.117%), SiO2 (56.241%), CaO (4.245%) and Fe2O3 (3.786%). Bentonite was obtained from G & W Base Minerals in South Africa. Analytical grades of H2SO4 and HCl were supplied by Rochelle Chemicals South Africa.

X-ray diffraction (XRD) and X-ray fluorescence (XRF) analysis were carried out at the Malawi Geological Survey Department. A Rigaku ZSX Primus II XRF spectrometer was used for the determination of oxide content, whilst an Ultima IV Rigaku XRD system using a reference internal ratio (RIR) method was used for the mineralogical determination. Turbidity measurements were carried out at the Malawi Bureau of standards using a turbidity meter (Orion AQ4500) under the ISO 7027-2016 method.

Synthetic turbid water

Here, 10 g of bentonite was added to 1,000 ml of distilled water, The mixture was stirred for 1 h at 250 revolutions per minute (rpm). The mixture was then left for 24 h to settle before the coagulation test could be done.

Synthesis of coagulants

SCBA was mixed with 4 M HCl and 4 M H2SO4 in a solid to liquid ratio of 1:10. (Maila et al. 2020). The respective slurries were agitated at 200 rpm for 6 hours. Thereafter the slurries were filtered under gravity. The residues were then washed with distilled water to remove excess acid until the washings’ pH was around 7. The HCl coagulant was labelled as HSCBA, whilst the H2SO4 was labelled as SSCBA.

Jar tests

Parametric optimisation was carried out by varying one parameter at a time whilst keeping others constant. Here, 500 ml of turbid waste was poured into 1,000 ml beaker. The coagulants were added to the turbid water followed by rapid stirring at 250 rpm for 3 minutes followed by gentle stirring for 5 minutes at 50 rpm. Four test jars were used per each test. Three jars were dosed at the same solid loading whilst the fourth was the control without coagulant dosing. The turbidity of the supernatant was measured using this method. The parameters investigated were the effect of coagulant dosing, time and initial pH on the coagulation process.

Practical applicability

The optimised parameters were used on natural turbid water from Lichenza River in the Thyolo district in southern Malawi. The process was done without pH adjustment and was modelled using type I sedimentation. Tests were conducted in which a 2 m settling column was filled with the naturally turbid water from Lichenza River and allowed to settle. At various times the settling suspensions were measured for solids. The solid samples were collected at a depth of 30 cm below the air–liquid interface. The weight fraction X was calculated using Equation (1) (Peavy et al. 1985):
(1)
The settling velocity was calculated using Equation (2):
(2)

Each result reported was an average of three tests. The average was taken if the individual results were within 10% of each other. Statistical significance was measured at a 95% confidence interval (CI) using a p-value of 0.05. The error bars in graphs were also at 95% CI.

Characterisation of coagulant

The mineralogy of the SCBA was dominated by magnesium aluminate, silica, iron oxide and calcium oxide (Figure 1). It is worth noting that SCBA has an amorphous component as evidenced by the bump between 2.5° and 40°. The amorphous component allows for increased surface area which helps to increase the interaction between SCBA particles and particles in water to be coagulated. There were no major changes in mineralogy between the SCBA, SSCBA and HSCBA (Figure 1). SSCBA was characterised by a significant reduction in the content magnesium aluminate and iron oxide. This may be because sulphuric acid is a stronger acid than hydrochloric acid. SSCBA had a significantly lower hump than SCBA and HSCBA. This therefore meant that the amorphous component of SSCBA was lower than the other two. SSCBA had the lowest intensity for calcium oxide as compared to the other two.
Figure 1

XRD diffractogram of SCBA, SSCBA and HSCBA (MA = magnesium aluminate, Q = silica, C = calcium oxide, F = iron oxide).

Figure 1

XRD diffractogram of SCBA, SSCBA and HSCBA (MA = magnesium aluminate, Q = silica, C = calcium oxide, F = iron oxide).

Close modal

A comparison in the oxide composition of the three coagulants is shown in Table 1.

Table 1

XRF analysis of coagulants

AshSCBAHSCBASSCBA
constituent% m/m% m/m% m/m
MgO 2.594 0.815 0.1842 
Al2O3 5.117 5.566 3.293 
P2O5 2.643 0.904 0.267 
K2O5 5.202 2.919 0.7791 
CaO 4.245 1.662 0.778 
SiO2 56.241 58.221 59.931 
Fe2O3 3.786 5.176 2.5654 
AshSCBAHSCBASSCBA
constituent% m/m% m/m% m/m
MgO 2.594 0.815 0.1842 
Al2O3 5.117 5.566 3.293 
P2O5 2.643 0.904 0.267 
K2O5 5.202 2.919 0.7791 
CaO 4.245 1.662 0.778 
SiO2 56.241 58.221 59.931 
Fe2O3 3.786 5.176 2.5654 

Acid activation of the SCBA resulted in the reduction of most elemental oxides die to dissolution, however the dissolution was higher in SSCBA than HSCBA (Table 1). This is because H2SO4 is a stronger acid than HCl. XRF is a semiquantitative method which would explain the increase in SiO2 relative content.

Effect of coagulant type and coagulant solid loading on turbidity removal

There was a general increase in turbidity removal with an increase coagulant dosage. Maximum removal was achieved at 8, 6 and 8% for the SCBA, HSCBA and SSCBA respectively. The increase in turbidity removal to the highest point for each coagulant was significant as the p-value calculation was less than 0.05. The respective highest removal points were followed by a drop in turbidity removal. The removal mechanism may be through interaction between colloids and coagulant which results in the increase in mass of colloid leading to sedimentation (Yimer & Dame 2021). 6HSCBA was the only coagulant to achieve a residual turbidity of less than 5 NTU, the maximum recommended residual NTU by the World Health Organization (WHO 2008). Al- and Fe-bearing species have been shown to be involved in the coagulation process, HSCBA had more Al and Fe compared with SSCBA (Table 1). This may explain why there was more turbidity removal with HSCBA than with SSCBA.

Effect of settling time

The settling was characterised by hindered settling in the first 5 minutes followed by transition settling from 5 minutes to 25 minutes and lastly by compression settling from 25 minutes to 45 minutes (Figure 2). The HSCBA settling was faster than SSCBA, which would further explain the high turbidity removal of HSCBA as compared to SSCBA. Moreover, an equilibrium was achieved after 25 minutes for HSCBA as compared with 30 minutes for SSCBA. The faster settling experienced with HSCBA may be due to the formation of flocs at a faster rate leading to a quicker settling.
Figure 2

Variation in interface height with time.

Figure 2

Variation in interface height with time.

Close modal

Effect of initial pH on settling characteristic

Both coagulants have effective turbidity removal in the 6–10 pH range (Figure 3). Outside this range removal drops by 54% at pH 2 for 6HSCBA and by 77% for 8SSCBA. pH plays an important role in coagulation as it affects the surface charge of particles. At low pH, particles may have a zero of positive point of zero charge (PZC), therefore they would repel positively charged Fe and Al species and hence low NTU removal at these pH values (Naceradska et al. 2019). However as the pH is increased the particle PZC becomes increasingly negative and this then allows for increased coagulation. However at very high pH, there is precipitation of Al and Fe species leading to reduced coagulation. It has been shown that the increase in pH due to the addition of CaOH results in the increase of free Ca2+ ions, which in turn results in the compression of the electric double layer (Yan et al. 2012). CaOH has also been shown to promote coagulation of solids. Ca2+ has been shown to reduce repulsive forces allowing particles to agglomerate leading to coagulation (Wang et al. 2010). Ca2+ has also been shown to reduce the zetapotential of humic acid and strengthen the flocs leading to increased coagulation (Dong et al. 2012).
Figure 3

Variation in NTU removal with initial pH.

Figure 3

Variation in NTU removal with initial pH.

Close modal

Coagulation test on highly turbid water

Highly turbid water from Lichenza River obtained and subjected to coagulation using 6HSCBA and 8SSCBA. The turbidity of the water was 1,644 NTU. The outcome for the coagulation test using SSCBA is not shown as turbidity reduction was below 10%.

There was a 99.9% reduction in turbidity using the 6HSCBA coagulant, however the process took longer to achieve turbidity removal as compared to the synthetic turbid water (Figures 4 and 5). This may be due to higher turbidity in the river water or the presence of organic substances in river water. The coagulation pattern was characterised by a rapid transition settling from 0 minutes to 10 minutes followed by hindered settling from 10 minutes to 40 minutes which was then followed by a gradual compression settling from 40 minutes to 100 minutes. The clay particles in turbid water are negatively charged. The coagulation is due to the presence of presence of large cations in the coagulant . The coagulation is due to charge neutralization of the negatively charged clay particles with cation species. The cation species are formed by water-coordinated complexes of Fe and Al, and some of these complexes are Al(H2O)63+ and Fe(H2O)62+ (Viessman et al. 2004).
Figure 4

Variation in turbidity with time using the 6HSCBA coagulant: Initial condition Raw water turbidity 1,644 NTU, Coagulant solid loading 6% m/v.

Figure 4

Variation in turbidity with time using the 6HSCBA coagulant: Initial condition Raw water turbidity 1,644 NTU, Coagulant solid loading 6% m/v.

Close modal
Figure 5

Variation in turbidity removal with coagulant type and coagulant solid loading (Initial turbidity 110 NTU) Key 2 SCBA¼ 2% m/v sugarcane bagasse ash.

Figure 5

Variation in turbidity removal with coagulant type and coagulant solid loading (Initial turbidity 110 NTU) Key 2 SCBA¼ 2% m/v sugarcane bagasse ash.

Close modal

Practical applications using type 1 sedimentation

The variation in weight fraction of particles with settling rates can be used to calculate the removal efficiencies with varying overflow rates (Figure 6). This allows for the design of the settling equipment. The removal efficiency can be calculated using the following equation:
(3)
where R is the removal efficiency, X0 is the weight fraction of turbidity removed and is a function of the overflow rate, and is obtained from Figure 6, h is the depth of sampling space below the fluid air interface, and t is the sampling time. Using Equation (1), the variation in turbidity removal with overflow rates is shown in Table 2.
Table 2

Variation in removal efficiency with overflow rates

Overflow rate (cm/s)Removal efficiency (%)
0.01 90 
0.02 70 
0.03 60 
0.04 50 
Overflow rate (cm/s)Removal efficiency (%)
0.01 90 
0.02 70 
0.03 60 
0.04 50 
Figure 6

Variation of weight fraction of particles with settling rate.

Figure 6

Variation of weight fraction of particles with settling rate.

Close modal

Table 2 shows that the higher the overflow rates (settling rates) the lower the removal efficiency. Therefore, the design for settling using 6HSCBA should have an overflow rate between 0.01 and 0.02 cm/s to achieve sufficient turbidity removal.

Residual water testing

The monitoring of residual effect a coagulant has on treated water is of paramount importance. Synthetic coagulants like alum leave traces of metals in treated water which results in so many health effects (Katrivesis et al. 2019). A sustainable coagulant therefore has to be a natural coagulant which does not leave a significant residual content in the treated water. The river water quality characteristics were monitored before and after coagulation. It could be seen that the most significant change was in turbidity achieving a 99.9% removal (Table 3). The pH change was insignificant and was within the international statutes for wastewater discharge (EPA or WHO statute). There was a significant drop in the content of Fe and Zn (p < 0.05). This may be attributed to the fact that SCBA may have acted as an adsorbent also for the heavy metals, however the reduction in Cu content was insignificant and was within the error limits of the measurement.

Table 3

Variation in river water quality before and after treatment

ParameterValue before treatmentValue after coagulation
Turbidity 1,644 NTU 2 NTU 
pH 8.2 8.4 
Fe 200 μg/l 194 μg/L 
Cu 40.55 μg/L 40.34 μg/L 
Zn 358 μg/L 329 μg/L 
ParameterValue before treatmentValue after coagulation
Turbidity 1,644 NTU 2 NTU 
pH 8.2 8.4 
Fe 200 μg/l 194 μg/L 
Cu 40.55 μg/L 40.34 μg/L 
Zn 358 μg/L 329 μg/L 

The study showed that HCl-treated SCBA (HSCBA) was a better coagulant than H2SO4-treated SCBA (SSCBA) as HSCBA could reduce turbidity of a 110 NTU synthetic wastewater by 97.7% and SSCBA by 90.9%. Turbidity removal increased with solid loading for both coagulants up to a 6% m/v S/L and 8% m/v S/L for HSCBA and SSCBA, respectively. After the respective peaks, there was a reduction in turbidity removal for both coagulants. HSCBA was a better coagulant as it had more Fe and Al than SSCBA. HSCBA had a higher amorphous content which allowed for a greater surface area for particle interaction compared with SSCBA. Both coagulants could function effectively in the 6–10 pH range. Only HSCBA could reduce the turbidity of a 1,644 NTU river sample by 99.9% whilst the SSCBA was not effective. A coagulant that does not leave significant residual content in treated water is preferred and is a healthy alternative to synthetic inorganic coagulants. The residual content of the treated water was insignificant compared with the untreated water, further enhancing the possibility to use HSCBA as a natural coagulant.

The author would like to acknowledge the Royal Academy of Engineering who supported this research through the Higher Education Programme of Sub-Sahara Africa (HEPSSA1921/3/31). The author thanks also the students who did the laboratory work and these are Alfred Levison, Isaac Maso, Hassan Allison and Bridget Kesakudza.

Funding for this research was through a grant from the Royal Academy of Engineering who supported this research through the Higher Education Programme of Sub-Sahara Africa (HEPSSA1921/3/31). The funder has no role in the design, data collection and analysis, decision to publish and preparation of manuscript.

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

The authors declare there is no conflict.

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