The adsorption method is widely used in water and wastewater treatment; however, most industrial adsorbents are expensive, limiting the use of the adsorption method in developing countries. Therefore, this study aims at developing a biosorbent from waste Leucaena leucocephala seed pods (LLSP) and apply it (as a cost-effective bio-adsorbent) to remove Janus Green B dye (JGBD) from solutions at different values of pH, agitation time, LLSP dose and JGBD concentration. Different techniques were used to characterize LLSP before and after JGBD removal, including pore size distribution, surface area (SBET) analysis, FTIR, SEM, SPM and the point of zero charges (pHpzc) of the LLSP surface. The results proved that LLSP could remove up to 95% of JGBD at pH, LLSP dose, JGBD concentration and agitation time of 9, 0.08 g/100 ml, 50 mg/l and 30 min, respectively. Langmuir and Freundlich analyses were applied to fit the data for equilibrium biosorption, and it was noticed that the Langmuir isotherm model fits the data, and the full monolayer biosorption ability for JGBD was 142.85 mg/g.

  • A biosorbent was manufactured from waste Leucaena leucocephala seed pods (LLSP).

  • LLSP was used to remove Janus Green B dye (JGBD) from solutions.

  • LLSP removed more than 95% of JGBD at pH 9, LLSP dose was 0.08 g/100 ml, JGBD 50 mg/l and agitation time 30 min.

  • Langmuir isotherm model proved the monolayer biosorption ability of LLSP for JGBD was 142.85 mg/g.

Nowadays, water contamination with organic and inorganic contaminants is one of the most significant environmental harms and needs global action to stop or limit its serious effects (Vakili et al. 2014). When the total water demand increases, the amount of wastewater always creates a global increase. This makes a requirement for effective purification techniques. Among organic contaminants, synthetic dyes and colouring agents are the main types of organic compounds with many aromatic rings and are widely used in various industries. The release of coloured effluents from these industries without treatment, into streams and lakes or penetrating aquifers, may present an ecotoxic hazard, being carcinogenic, mutagenic, teratogenic and stable during aerobic degradation, introducing the potential danger of bioaccumulation (Gupta & Ali 2013). Very low strengths of dyes containing industrial effluents decrease light diffusion through the water's surface, affecting aqueous plants’ photosynthesis. So, reducing these dyes is necessary for wastewater treatment before release. Many chemicals, physical and biological treatment techniques are currently applied to eliminate concentrations of dyes from coloured wastewater, such as the adsorption technique (Ghasemi et al. 2016; Osamah et al. 2021), electrochemical degradation (Steter et al. 2014; Hashim et al. 2021b), biological treatment (Paz et al. 2017), photocatalytic degradation (Magdalane et al. 2017; Karaghool et al. 2022), and decolourization and detoxification (Maalej-Kammoun et al. 2009). For example, chemical coagulation is applicable for dye removal from solution, and it can be used to remove high concentrations of the dyes (Mcyotto et al. 2021). The severe effects of the chemicals (coagulants) on the environment and the production of intermediates are the main barriers to using chemical coagulation for dye removal. The electrocoagulation method is the safest form of chemical coagulation because it is the indirect addition of chemicals to a solution that reduces the effects of chemicals on the environment (Abdulhadi et al. 2019), and it was demonstrated that the electrocoagulation method can remove high loads of dyes from solutions (Hashim et al. 2019; Sadoon & M-Ridha 2020). However, electrocoagulation methods face some challenges, such as the passivation of electrodes and other operating problems (Yasri et al. 2022).

Among these techniques, adsorption is considered a preferable and efficient way of eliminating contaminants from wastewater. The adsorption approach is favourable because it depends on low-cost and available materials, ease of use and excellent removal efficacy (Hashim et al. 2021a). Agricultural biosorbents have advantages as they are readily available, cost-effective, need less processing time and are renewable, giving appropriate adsorption potential (Nguyen et al. 2013). Therefore, many studies have considered the development of non-conventional and low-cost agricultural wastes such as Psidium guajava leaves and Solanum tuberosum peels (Rehman et al. 2015), Pinus roxburghii leaves (Rehman et al. 2019) and Indian neem leaves (Das et al. 2020). The main goal of this investigation was to assess the potential biosorption of Leucaena leucocephala seed pods for sequestration of JGBD from aqueous effluents. Leucaena leucocephala, previously known as L. glauca, is a type of rapidly growing tropical leguminous tree which can rise to heights of 7–18 m. Leucaena leucocephala belongs to the family of Fabaceae and the subfamily Mimosoideae. The ‘miracle tree’ is a type of multiuse tree for wide-ranging procedures such as pulp and paper manufacturing, timber and firewood (Vijay et al. 2017). It is also used for animal feed as a protein source (Loaiza et al. 2017).

Preparation of LLSP

The waste of the Leucaena leucocephala plant was chosen as a biosorbent because it is locally available in different sites in Iraq. The plant pods were collected and opened to remove the seeds and use distilled water to clean them carefully. Then, they were oven-dried at 70 °C for 3 days (Cimá-Mukula et al. 2020). The pods were cut into small fragments by pestle and mortar, then milled into powder using a mechanical grinder. The produced powder was sifted to achieve the 150 μm as desired particle size. The created biosorbent was kept in airtight containers for the following tests. The obtained Leucaena leucocephala seeds pod powder sample is referred to as LLSP. Figure 1 shows the prepared LLSP.
Figure 1

The prepared LLSP.

Figure 1

The prepared LLSP.

Close modal

LLSP characterization

LLSP texture properties, including Brunauer–Emmett–Teller (BET) surface area and pore size distribution, were found using a Micromeritics ASAP 2020 absorption analyzer (Micro meritics Instrument Company, USA) based on adsorption–desorption isotherms measured using N2 over the relative pressure (p/po) range from 0.01 to 0.991. The specific surface area was calculated using the BET method the pore diameter, the size distribution of the pore and the overall pore volume were found using the Barrett–Joyner–Halenda (BJH) method. The surface functional groups on the LLSP sample before and after biosorption of JGBD were analyzed using Fourier transform infrared (FTIR) spectroscopy (SHIMADZU, IRPRESTIGE-21, Japan) in the range 4,000–400 cm−1 with KBr tablets. Scanning electron microscopy (SEM; TESCAN, Mira3, France) was based on determining the surface morphology, crystalline structure and orientation of the LLSP sample and the energy distribution spectroscopy (EDS). The LLSP topography was examined by scanning probe microscopy (SPM-AA300, Modern Angstrom Inc., USA, with an AFM connection). The LLSP surface charge was neutral at the point of zero charges (pHpzc), and the final pH value and initial pH were equal, which is an essential property that aids in knowing which ionic species may be absorbed using LLSP at the favored pH value. The pHpzc of LLSP was determined as described previously (Mohseni-Bandpi et al. 2016). This method has been elucidated as subsequent: add 0.5 g of LLSP to 50 ml of 0.1 M NaCl adjusted to various initial pH (2–10) at ambient temperature (30 ± 2 °C). The suspensions were agitated for 24 h and removed, so the final pH values of each residual solution were tested. The pHpzc value for LLSP was found by the point of intersection at zero with the curve, achieved through comparing the ΔpH vs. pHinitial.

Reagents

All reagents used in this investigation were of analytical grade. For Janus Green B dye (JGBD), this adsorbate is a cationic dye which possesses the chemical name [3-diethylamino-7-(4-dimethylaminophenylazo)-5-phenylphenaziniumchloride,3-(diethylamino)-7-((p(dimethylamino)phenyl)azo)-5-phenylphenazinium chloride]; C.I. 11050; molecular mass 511.07 g/mol with λmax of 611 nm; chemical formula C30H31ClN6. The dye stock solution was prepared by dissolving a suitable mass of powdered dye in double-distilled water to produce a solution of 103 mg/l. The dilution method was based on preparing different concentrations of JGBD solutions. The pH values of dye solutions were adjusted using 0.1 M HCl or NaOH as needed.

Batch biosorption investigations

Performing all the experiments for JGBD using LLSP depended on a batch mode at room temperature (30 ± 2 °C), using several 250 ml conical flasks filled with 100 ml dye solution. The effects of the factors on the biosorption procedure rate were studies experimentally to find the best conditions for dye removal and obtain sufficient equilibrium data that were suitable for finding the studied material activity and analysis of biosorption isotherms. Table 1 includes these factors.

Table 1

Main different experimental factors in the batch experiments

FactorValue rangePurpose
pH 3–11 To discover the best pH for removal 
Contact time, min 5–90 To find the equilibrium time 
Mass of LLSP, g/100 ml 0.05–0.8 To know the optimum LLSP mass 
Primary dye concentration, mg/l 10–100 To display the influence of dye strength on biosorption procedure and to perform the isothermal analysis of equilibrium 
FactorValue rangePurpose
pH 3–11 To discover the best pH for removal 
Contact time, min 5–90 To find the equilibrium time 
Mass of LLSP, g/100 ml 0.05–0.8 To know the optimum LLSP mass 
Primary dye concentration, mg/l 10–100 To display the influence of dye strength on biosorption procedure and to perform the isothermal analysis of equilibrium 

At the end of each test, the remaining dye concentration was determined as a sample was taken from each flask, and was filtered and tested using a UV–VIS spectrophotometer (UV/VIS-6800 JANEWAY-double beam) at the maximum wavelength of dye. As a result, the amount of JGBD absorbed at equilibrium (qe) and the percentage removal (%) were found depending on the following equations (Abdulhadi et al. 2021):
(1)
(2)
where Co and Ce referred to dye concentration before and after biosorption (mg/g), respectively; M is the LLSP (g) mass and V is the LLSP (L) volume. The amount of JGBD biosorbed (mg/g) at equilibrium is referred to as qe.

Natural LLSP characterization

Table 2 presents the physical and chemical characteristics values of natural LLSP. The BET approach was based on calculating the SBET of LLSP according to the linear portion of the isotherm of N2 adsorption–desorption.

Table 2

Physiochemical LLSP characteristics

PropertyValue
Specific surface area, SBET (m2 g−136.57 
Moisture content (%) 0.4 
Bulk density (g/ml) 0.342 
pHpzc (point zero charge) 4.2 
PropertyValue
Specific surface area, SBET (m2 g−136.57 
Moisture content (%) 0.4 
Bulk density (g/ml) 0.342 
pHpzc (point zero charge) 4.2 

The LLSP sample presents a very high percentage of carbon content compared with other elements (Table 3). Therefore, the sample is carbonaceous in nature, and it is suitable for biosorption. Furthermore, the very low quantity of S indicated the presence of a minor amount of impurities.

Table 3

LLSP elemental analysis (%w/w)

SampleCONHSMgSi
LLSP 62.54 22.34 4.13 6.24 0.34 2.25 2.16 
SampleCONHSMgSi
LLSP 62.54 22.34 4.13 6.24 0.34 2.25 2.16 

To characterize the porous properties of LLSP, N2 adsorption and desorption isotherms were measured on LLSP to obtain its characteristic structures when the hysteresis loops were related to the capillary condensation in mesopores (Figure 2). The expanding final parts of the isotherms displayed the formation of macropores in the sample pore structures. Table 4 summarizes the structural parameters of LLSP. The calculated micropore volume Vmicro of the investigated sample shows that the presence of tiny pores in the total volume of the pore is not important.
Table 4

Parameters of LLSP structure

CharacteristicsValue
Specific surface area (SBET) (m2 g−136.57 
The external surface area of pores (St) (m2 g−127.13 
Total pore volume (Vt) (cm3 g−10.16496 
Volume of micropores (Vmicro) (cm3 g−1)% 0.004 
The volume of mesopores + macropores (Vmeso + Vmac) (cm3 g−1)% 0.16096 
BJH Adsorption cumulative volume of pores between 1.7000 and 300.000 nm width (cm3 g−10.312 
BJH Adsorption cumulative surface area of pores between 1.7000 and 300.000 nm width (cm2 g−124.286 
BJH Adsorption average pore diameter (nm) – Dp 4.364 
BJH Adsorption average pore width (nm) 5.219 
CharacteristicsValue
Specific surface area (SBET) (m2 g−136.57 
The external surface area of pores (St) (m2 g−127.13 
Total pore volume (Vt) (cm3 g−10.16496 
Volume of micropores (Vmicro) (cm3 g−1)% 0.004 
The volume of mesopores + macropores (Vmeso + Vmac) (cm3 g−1)% 0.16096 
BJH Adsorption cumulative volume of pores between 1.7000 and 300.000 nm width (cm3 g−10.312 
BJH Adsorption cumulative surface area of pores between 1.7000 and 300.000 nm width (cm2 g−124.286 
BJH Adsorption average pore diameter (nm) – Dp 4.364 
BJH Adsorption average pore width (nm) 5.219 
Figure 2

Isotherm linear plot of LLSP.

Figure 2

Isotherm linear plot of LLSP.

Close modal
Figure 3 shows that a large uptake was observed near saturation pressure, and another hysteresis loop was displayed at relative pressures. According to the definition by the International Union of Pure and Applied Chemistry (IUPAC), it can be noted that the LLSP sample has a significant amount of mesopores with an average diameter in the range 2–50 nm (Kuila & Prasad 2013; Hu et al. 2017).
Figure 3

FTIR of LLSP pre-JGBD biosorption (a) and after JGBD biosorption (b).

Figure 3

FTIR of LLSP pre-JGBD biosorption (a) and after JGBD biosorption (b).

Close modal

In order to determine the mechanism of JGBD biosorption and classify the functional groups existing on the LLSP surface, which can biosorb dye ions, FTIR analysis was performed. The analysis of LLSP before and after biosorption of JGBD is shown in Figure 3(a) and 3(b). The biosorbent material was lignocellulosic. It shows the characteristic broad and strong peaks at 3,851.20 and 3,401.23 cm−1, ascribed to the presence of the carboxylic acids group (–COOH), which overlapped with the O–H stretching vibration of the hydrogen-bonded hydroxyl groups in the cellulose molecule and –NH groups (Mansur et al. 2020). The band at 2,922.77 cm−1 corresponded to C–H asymmetric stretching vibrations in aromatic methoxyl groups in the methyl and methylene groups of the side chains (Ospina Álvarez et al. 2014). The bands at 2,356.51 and 2,326.94 cm−1 were allocated to the C = C stretching vibrations in the alkyne group. The peak observed at 2,028.96 cm−1 was assigned to the C = O stretching vibrations. The esters or carboxylic acids described at 1,732.86 cm−1 appeared to be C = O stretching vibrations of carboxylic groups (–COOH, COOCH3) (Patil & Shrivastava 2012). The peaks at 1,652.11 and 1,557.78 cm−1 were attributed to the stretching of C = O or C = C of aromatic bond and –COO groups (Hanafiah et al. 2015). The peak observed at 1,538.54 cm−1 was assigned to the N–H bending of secondary amines (Hanafiah et al. 2015). At 1,505.26, 1,489.31 and 1,463.69 cm−1, the olefin v(C = C) vibrations can be qualified. Whereas those shown at 1,436.21 and 1,423.41 cm−1 were assigned to the presence of O–H bending (lactonic, ether, phenol, etc.). The peaks at 1,403.78, 1,319.42 and 1,292.07 cm−1 were associated with the C–H2 rocking vibration, where these peaks are referred to as the cellulose form of the carbohydrate (Ilyas et al. 2018). The stretching vibrations of the C–O (ether) group occurred at around 1,090.29–1,196.90 cm−1, among others; whereas that shown at 1,046.34 cm−1 was allotted to the stretching vibrations of the C–OH bond (Cimá-Mukul et al. 2019). The appearance of bands at 667.96, 603.09, 588.01 and 568.35 cm−1 were attributed to the presence of the phosphate and sulphur functional groups (Munagapati et al. 2010). After dye-loaded LLSP, most absorption peaks were shifted, others were absent and new peaks appeared. These changes may be attributed to changes in counter ions associated with group anions, suggesting that the dye removal was organized by carboxyl, hydroxyl, carbonyl and other cited groups. Thus, the biosorption of JGBD onto LLSP may be attributed to (i) chemical interaction between JGBD molecules and surface functional groups, (ii) electrostatic interaction between the electron-rich places on the biosorbent surface and JGBD molecules and (iii) weak physical forces, van der Waals interactions and hydrogen bonding between the biosorbent and JGBD molecules. Therefore, the JGBD biosorption onto the LLSP surface occurs by the interaction between the negative groups of the biosorbent and the positively charged JGBD molecule. This means that a contribution pattern of physical and chemical adsorption contributes to JGBD biosorption.

The SEM images of LLSP before and after biosorption of JGBD are depicted in Figure 4(a) and 4(b), respectively, for investigation of the surface morphology and shape of the biosorbent surface. As clear in Figure 4(a), the studied LLSP has an undefined configuration with pores of various sizes on its rough surface, favouring both dyes’ biosorption. On the other hand, there were some significant changes in biosorbent structure due to dye biosorption (Figure 4(b)). In addition, the pores on the surface of LLSP are clogged, and the accumulation of the active biosorbent particles was seen with a smooth surface along with shiny white spots. This statement agreed with Mohammed & Isra'a (2018) and Jabar et al. (2020).
Figure 4

The SEM micrograph images of LLSP: (a) before JGBD biosorption and (b) after JGBD biosorption.

Figure 4

The SEM micrograph images of LLSP: (a) before JGBD biosorption and (b) after JGBD biosorption.

Close modal
The results of the topography test, with 3D images of LLSP before and after JGBD was absorbed, are described and assessed and shown in Figure 5. Before dye removal, LLSP had a rough, amorphous and heterogeneous surface, which helped to attach the dye ions. In contrast, after dye removal, this surface became less rough and surface area differed in the number and arrangement of spots because the number of dye ions that covered and accumulated onto the surface of LLSP changed, leading to a reduction in the pore structure (Badr & Isra'a 2021). Table 5 summarizes the most important findings of this study.
Table 5

Features of LLSP at pre-biosorption and after removal of JGBD via SPM

FeaturePre-biosorptionAt loaded with JGBD
Sa (average of roughness) (nm) 11.78 3.477 
Ssk (surface skewness) 1.336 2.735 
Sz Ten point height (nm) 117 63.04 
Sdr (surface area ratio) 99.29 16.91 
Sk (core roughness depth) (nm) 26.13 9.614 
FeaturePre-biosorptionAt loaded with JGBD
Sa (average of roughness) (nm) 11.78 3.477 
Ssk (surface skewness) 1.336 2.735 
Sz Ten point height (nm) 117 63.04 
Sdr (surface area ratio) 99.29 16.91 
Sk (core roughness depth) (nm) 26.13 9.614 
Figure 5

SPM for LLSP: (a) before JGBD biosorption and (b) after JGBD biosorption.

Figure 5

SPM for LLSP: (a) before JGBD biosorption and (b) after JGBD biosorption.

Close modal

Investigation of the factors influencing the JGBD biosorption using LLSP

The pH of a dye solution is known as a vital operating factor controlling the adsorption of the dye onto the adsorbents because the adsorbent surface charge and dye molecules are affected by solution pH. Figure 6 shows the removal efficiency of LLSP as a function of JGBD solution pH. It can be shown that the dye removal increased with increasing solution pH and reached a maximum value at pH 9 (98.75%), so the initial value of pH in the dye solution was designated as 9 in the following experiments. This is due to the increased negatively charged sites on the LLSP surface, favouring the electrostatic attraction between the LLSP and the cationic dye. The small elimination at low pH may be attributed to the statement that protons are found on the studied LLSP surface, which causes electrostatic repulsion between the adsorbed H+ and the cationic JGBD. These facts agree with those obtained in the last studies (Phuong et al. 2019; Sebeia et al. 2020). Figure 7 shows that the point of zero charges of the LLSP is 4.2, implying that the LLSP surface was positively charged at pH less than the pHpzc. When pH is more than pHpzc, the LLSP surface is negatively charged, promising for cationic JGBD biosorption. So, less removal of basic JGBD was obtained at lower pH (Franca et al. 2009).
Figure 6

Effect of initial JGBD solution pH on the elimination efficiency of JGBD onto LLSP (biosorbent mass = 0.08 g, initial JGBD concentration = 50 mg/l and 250 rpm for 60 min).

Figure 6

Effect of initial JGBD solution pH on the elimination efficiency of JGBD onto LLSP (biosorbent mass = 0.08 g, initial JGBD concentration = 50 mg/l and 250 rpm for 60 min).

Close modal
Figure 7

Determination of point zero charges (pHpzc) of LLSP.

Figure 7

Determination of point zero charges (pHpzc) of LLSP.

Close modal
Biosorption equilibrium can be established by studying the contact time factor, which is important in the biosorption process. Figure 8 explains the influence of this factor on JGBD biosorption onto LLSP. Biosorption of JGBD was fast in the first 1–5 min, the biosorption rate then dropped gradually and the equilibrium was achieved in about 30 min when higher JGBD absorbed was 16.1 mg/g. The time of 30 min was used in the following experiments when there was no significant increase in uptake after this time. For explanation, at the initial stages of biosorption, the uptake rate for JGBD was very significant as more biosorption sites on JGBD molecules existed. Then, these sites are gradually filled up, and biosorption became slow because of JGBD accumulation at the LLSP surface. Because of this accumulation, the deeper diffusion of the dye molecules into the LLSP pores became difficult (Kumar & Ahmad 2011).
Figure 8

Effect of contact time on biosorption capacity (mg/g) of JGBD using LLSP (dose of LLSP = 0.08 g, initial JGBD concentration = 50 mg/l, pH = 9 for 30 min with 250 rpm).

Figure 8

Effect of contact time on biosorption capacity (mg/g) of JGBD using LLSP (dose of LLSP = 0.08 g, initial JGBD concentration = 50 mg/l, pH = 9 for 30 min with 250 rpm).

Close modal
Biosorbent dosage is a major important factor in the biosorption process, finding the equilibrium of the adsorbent–adsorbate system (Deveci & Kar 2013). To investigate the impact of LLSP dose on the adsorbed amount and elimination percentage of JGBD, the amount of LLSP was varied within a range 0.05–0.8 g/100 ml keeping other studied factors constant. The influence of LLSP mass on the removal percentage of JGBD is clear in Figure 9. It is clear that the removal efficiency of JGBD increased with a rise in LLSP mass and was maintained at approximately 98% until the LLSP dosage reached 0.08 g/100 ml. Still, at the same time, the dye amount absorbed did not perform similarly to the biosorption percentage, when the dye amount absorbed decreased generally from 93.5 to 6.15 mg/g. It also could be observed that the biosorption efficiency and absorbed amount of JGBD did not change significantly with further increasing dosage. So, 0.08 LLSP was chosen as the best dose. The biosorption capacity of JGBD decreased, while the biosorption percentage increased with an increase in the LLSP dose in the range 0.05–0.8 g/100 ml. The same trend has been described in previous investigations (Dawood et al. 2016). When the LLSP dose increases, the number of biosorption sites available increases, resulting in the removal efficiency of JGBD. However, an increased dosage of LLSP can cause particle interactions and aggregation of biosorption sites (Chen et al. 2015), which might result in a reduction in total LLSP surface area presented to the JGBD and an increase in diffusion path length (Sharma 2015). Also, the mass of JGBD (mg) absorbed per gram of LLSP decreased with increasing LLSP dose.
Figure 9

Biosorption capacity and percentage removal of JGBD using LLSP as a function of LLSP dose, with an initial concentration of dye = 50 mg/l, pH 9, 250 rpm with agitation time = 30 min.

Figure 9

Biosorption capacity and percentage removal of JGBD using LLSP as a function of LLSP dose, with an initial concentration of dye = 50 mg/l, pH 9, 250 rpm with agitation time = 30 min.

Close modal
Different initial JGBD concentrations, in the range 10–100 mg/l, were investigated and shown in Figure 10. The initial dye concentration increased the amount of the JGBD biosorbed from 12.40 to 119.71 mg/g of LLSP (qe). This result can be elucidated by increasing different rates when the concentration gradient between the solid phase and the aqueous solution increases (Elhadiri et al. 2018) as well as the contact probability between JGBD and LLSP (Haddad et al. 2015). At the same time, the removal efficiency of dye was reduced when the JGBD concentration was increased from 10 to 100 mg/l with a constant amount of LLSP. This is due to the biosorption sites in LLSP becoming more quickly saturated, so there were no more sites to biosorb JGBD onto LLSP, reducing removal efficiency (Geetha et al. 2015).
Figure 10

Biosorption capacity and percentage removal of JGBD as a function of dye concentration (250 rpm, pH 9, LLSP dose = 0.08 g/100 ml and agitation time = 30 min).

Figure 10

Biosorption capacity and percentage removal of JGBD as a function of dye concentration (250 rpm, pH 9, LLSP dose = 0.08 g/100 ml and agitation time = 30 min).

Close modal

Equilibrium biosorption isotherms and modelling

Adsorption between the solid adsorbent and liquid phases is a dynamic equilibrium process. So, the isothermal models of this process can show how the adsorbate molecules are distributed between the solid and liquid phases at an equilibrium state; this offers theoretical features of equilibrium isotherms that provide data on surface properties with adsorbent affinity used and the mechanism of adsorption (Hazzaa & Hussein 2015) to optimize the design of the adsorption system. Langmuir and Freundlich's most widely used adsorption isotherm models were used to fit the experimental equilibrium data and gain insight into the adsorbate's biosorption behaviour in the presence of the adsorbent. The Langmuir model assumes the existence of monolayer adsorption on a site with homogeneous distribution over the adsorbent surface without interaction between adsorbates (Wang et al. 2015). In contrast, the multilayer adsorption occurrence on heterogeneous surface assumption is the base of the Freundlich model (Mehta et al. 2016). The Langmuir and Freundlich isotherms in their liner arrangements are given by Equations (3) and (4), respectively:
(3)
(4)
where Ce (mg/l) is the adsorbate concentration at the equilibrium state, qe and qm are the adsorbate mass at the equilibrium, and b and qm are the constants of Langmuir isotherm, which denote the affinity of the binding sites for adsorption (l/mg) and the maximum theoretical monolayer adsorption capacity (mg/g), respectively.
Kf is the uptake ((mg/g)(l/mg)1/n), 1/n is the intensity of adsorption. The constants of the isotherm models were found by analysis of linear regression. Both qm and b were found from the slope and intercept of the plot of Ce vs. Ce/qe (Figure 11(a)). The Freundlich coefficients, Kf and 1/n were found from the intercept and slope of the plot between log Ce and log qe (Figure 11(b)). The feasibility and crucial characteristics of the Langmuir model are expressed based on the term RL, which is a dimensionless equilibrium parameter called the separation factor and expressed as the following equation (Hall et al. 1966):
(5)
where Co (mg/l) is the primary adsorbate concentration. The RL value points to the Langmuir isotherm being linear (RL = 1), unfavourable (RL > 1), favourable (0 < RL < 1) or irreversible (RL = 0).
Figure 11

Isotherm linearized model for JGBD biosorption using LLSP: (a) Langmuir and (b) Freundlich models.

Figure 11

Isotherm linearized model for JGBD biosorption using LLSP: (a) Langmuir and (b) Freundlich models.

Close modal
The calculated biosorption constants and the validation indexes for two models for JGBD biosorption onto LLSP are included in Table 6. The isotherm model validity was confirmed by comparing the R2 and SE values. So, the R2 of the Langmuir model was nearer to unity compared with the other value and defined the biosorption isotherm very well with qm of 142.85 mg/g (Zhang et al. 2016). The value of RL was between 0 and 1 (Figure 12), indicating that the biosorption of JGBD was favourable. The Freundlich constant could evaluate the favourability of the JGBD biosorption using LLSP. It has been observed that n equals 1.78, indicating beneficial biosorption, as n lies between 1 and 10 (Aljeboree et al. 2017). The biosorption capacity of LLSP into JGBD was compared with other adsorbents, as presented in Table 7, and it was noted that the maximum capacity value (qm) of LLSP was greater, so LLSP is utilized as an efficient material to sequestrate JGBD from wastewater.
Table 6

Biosorption isotherm parameters for JGBD by LLSP

LangmuirFreundlich
qm (mg/g) 142.85 Kf (mg/g)(l/mg)1/n 66.86 
b (l/mg) 1.14 1/n 0.56 
R2 0.9996 R2 0.9584 
SE 0.0020 SE 0.0452 
RL (0.1716–0.9178) Equation qe = 66.86 Ce0.56 
Equation qe = 162.85 Ce/1 + 1.14 Ce 
LangmuirFreundlich
qm (mg/g) 142.85 Kf (mg/g)(l/mg)1/n 66.86 
b (l/mg) 1.14 1/n 0.56 
R2 0.9996 R2 0.9584 
SE 0.0020 SE 0.0452 
RL (0.1716–0.9178) Equation qe = 66.86 Ce0.56 
Equation qe = 162.85 Ce/1 + 1.14 Ce 
Table 7

The Langmuir uptake (qm, mg/g) comparison for JGBD of LLSP with those of other adsorbents

Adsorbentqm (mg/g)Reference
Tendu leaf waste 51 Nagda & Ghole (2011)  
Pistachio shells 5.53 Taha et al. (2014)  
Composite of homemade nanoparticles of ZnO/Zn(OH)2 and activated carbon with the amount of adsorbent (0.008–0.015 g) 81.3–98.03 Ghaedi et al. (2016)  
Leucaena leucocephala seed pods 142.85 The present work 
Adsorbentqm (mg/g)Reference
Tendu leaf waste 51 Nagda & Ghole (2011)  
Pistachio shells 5.53 Taha et al. (2014)  
Composite of homemade nanoparticles of ZnO/Zn(OH)2 and activated carbon with the amount of adsorbent (0.008–0.015 g) 81.3–98.03 Ghaedi et al. (2016)  
Leucaena leucocephala seed pods 142.85 The present work 
Figure 12

Separation factor values, RL for biosorption of JGBD using LLSP.

Figure 12

Separation factor values, RL for biosorption of JGBD using LLSP.

Close modal

Finally, the authors would like to highlight that the obtained results in this study agreed with the literature; for example, Shrivastava (2012) and Hishamudin et al. (2022), respectively, successfully removed Congo red and malachite green using the Leucaena leucocephala.

For future approaches, the use of the Leucaena leucocephala for the removal of heavy metals and the regeneration of the biosorbent is recommended.

The results confirmed that the biosorbent prepared from LLSP-low-cost agricultural wastes is promising for removing JGBD from aqueous solutions because of its availability as waste and eco-friendly adsorbents. The operating factors, initial pH of dye solution, contact time, the dosage of LLSP and primary concentration of JGBD were effective in removing JGBD using LLSP in batch experiments. The equilibrium data were simulated best by the Langmuir isotherm model with a maximum capability of 142.85 mg/g. All findings demonstrated that both benefits could be seen simultaneously using LLSP, including recycling LLSP wastes and treating coloured wastewater. In addition, LLSP could remove other pollutants, such as heavy metals, suitable for future research.

Data cannot be made publicly available; readers should contact the corresponding author for details.

The authors declare there is no conflict.

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