This study investigated the potential of NaOH-treated Trichanthera gigantea leaf (TGL) powder as a sustainable, low-cost biosorbent for methylene blue (MB) removal from wastewater. Characterization using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller, and energy-dispersive X-ray spectroscopy (EDX) techniques confirmed favorable morphology, identifying micropores, suitable functional groups, notable surface area, pore volume, and elemental diversity. Batch experiments systematically investigated the influence of operational parameters, including contact time, initial MB concentration (5–35 mg/L), pH (2–10), and biosorbent dosage (2–10 g/L) on adsorption performance. The Langmuir isotherm model best represented the experimental data (R² values of 0.993 and 0.9725), indicating favorable adsorption (RL < 1) and maximum MB adsorption capacities of 0.822 and 0.330 mg/g for treated and untreated TGL, respectively. Statistical analysis (ANOVA) results further identified the most significant factors influencing MB biosorption. These findings highlight the potential of NaOH-treated TGL powder as an effective and eco-friendly solution for removing MB dye from industrial effluents, contributing to sustainable wastewater treatment and environmental protection.

  • The novelty is the use of Trichanthera gigantea leaf as the main material to act as a biosorbent.

  • This material is low-cost and readily available.

  • It offers an eco-friendly way to treat dye wastewater.

  • This research provides a sustainable solution to the problem of rising dye pollution.

The issue of wastewater pollution has garnered significant concern due to the harmful discharge of various contaminants, including dyes, into the environment. Industries engaged in manufacturing, printing, coloring, and textiles are among the major contributors to this pollution as these dyes pose a significant threat to environmental ecosystems and human health due to their high toxicity and impact on marine life (Han et al. 2015). This pollution necessitates the development of sustainable solutions to address the growing environmental concern (Grabi et al. 2021).

One dye of particular concern is methylene blue (MB), a common contaminant in textile industry wastewater. MB is widely used for dyeing cotton, silk, and wool fabrics (Alghamdi & El Mannoubi 2021; Choudhary et al. 2021; Giraldo et al. 2021). However, beyond its industrial applications, the use of MB also extends into medical contexts for treating methemoglobinemia, cyanide poisoning, and diagnostic procedures as a staining agent (Shakoor & Nasar 2016; Alvarez-Torrellas et al. 2019). Despite its diverse applications, exposure to this substance poses health risks, including eye irritation, gastrointestinal discomfort, increased heart rate, and respiratory difficulties (Shakoor & Nasar 2016; Alvarez-Torrellas et al. 2019).

Given the environmental and health risks associated with MB, practical methods for its removal from wastewater are crucial. A diverse array of physicochemical methods, encompassing adsorption, reverse osmosis, coagulation/flocculation, electrochemical processes, ion exchange, membrane filtration processes, and advanced oxidation processes, have been actively explored to remediate water pollution (Salleh et al. 2011; Zhou et al. 2019; Javed et al. 2024). However, a critical evaluation of these methods reveals inherent limitations, including financial considerations, technical complexities, and treatment efficacy (Dasgupta et al. 2015; Merine et al. 2024). Within this context, adsorption emerged as a frontrunner due to its numerous environmental benefits (Bello et al. 2020; Lin et al. 2020). Specifically, adsorption is recognized as a sustainable approach due to its operational simplicity, minimal design complexity, and remarkable ability to deliver high-quality treated water (De Gisi et al. 2016; Katheresan et al. 2018). Its deployment for effluent treatment has demonstrated superior efficacy in eliminating harmful dye compounds and potentially transforming effluents into both environmentally safe and reusable forms (Mittal & Mittal 2015; Bulgariu et al. 2019; Danyliuk et al. 2020).

The wide variety of potential adsorbents, including naturally abundant and low-cost biomaterials, contributes to the flexibility of adsorption as a water treatment technique, leading to a substantial cost reduction compared to conventional options (Reddy et al. 2016; Setiabudi et al. 2016; Filho et al. 2017; Mokhtar et al. 2017; Georgin et al. 2020; Sharma et al. 2021). Studies have shown that various sustainable, plant-derived materials and agricultural byproducts, such as tea leaves (Wong et al. 2019), elephant grass (Menkiti et al. 2018), bilberry leaves (Mosoarca et al. 2022), lemon grass leaf (Ahmad et al. 2021), and Citrullus colocynthis seeds (Alghamdi & El Mannoubi 2021) can effectively remove organic and inorganic pollutants. This effectiveness stems from functional groups within these materials, which possess inherent adsorptive properties (De Gisi et al. 2016).

Recognizing the potential of naturally abundant resources for wastewater treatment, this study investigates Trichanthera gigantea leaf (TGL) powder as a novel biosorbent for the adsorptive removal of the MB dye from an aqueous solution. TGL, commonly called Nacedero, is a versatile tree native to Colombia's Andean foothills and thrives in the lush and biodiverse rainforests of central and northern South America. This tree has garnered significant attention for its impressive ethnomedicinal properties, offering edible sprouts and traditional uses as a blood purifier, nephritis remedy, and even a milk-boosting drink (Rosales 1997; Cook et al. 2005).

This study aims to explore the adsorption capacity of MB onto TGL, establishing its potential as a novel and economically viable biosorbent. Such an objective was achieved by analyzing the impact of concentration, contact time, pH, and adsorbent dosage on MB adsorption. We conducted a detailed characterization of the leaf material using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), Brunauer–Emmett–Teller (BET), and an energy-dispersive X-ray spectrometer (EDX) to elucidate its morphology, functional groups, surface area, and elemental composition. This study also explored the mathematical models of adsorption isotherms to gain additional insight into the adsorption process.

Preparation of adsorbent

TGL leaves were collected from Kuala Nerus, Terengganu, Malaysia and thoroughly washed with distilled water to remove impurities. They were cut into smaller pieces and dried in an air oven at 80 °C for 12 h to remove excess moisture and inhibit microbial growth. A portion of the dried leaves was pulverized into fine powder using a blender and passed through a 200 μm stainless-steel sieve to ensure a uniform particle. The untreated TGL was then stored in an airtight container for further use. The remaining dried leaves were immersed in a 1 M aqueous sodium hydroxide (NaOH) solution for 24 h to prepare the chemically activated leaves. The resulting mixture was separated from the leaves and thoroughly rinsed with distilled water until reaching a neutral pH. The NaOH-impregnated leaves were later dried in an oven at 80 °C for 12 h. Finally, the leaves were re-pulverized into fine powder labeled ‘NaOH-TGL’ and stored for subsequent experimentation.

Preparation of adsorbate

MB is a cationic dye with a chemical formula of C₁₆H₁₈N₃SCl, a molar mass of 319.85 g/mol, and a maximum absorption wavelength (λmax) of 663 nm, was obtained from Bendosen Laboratory Chemical (Figure 1). To prepare the stock solution, an accurately weighed amount of MB powder was dissolved in a 1,000 mL volumetric flask containing 1 L of distilled water. The solution was stirred using a hot plate stirrer to ensure complete dissolution of MB. The resultant stock solution was then stored in a dark environment, such as a laboratory cabinet, to minimize exposure to light and prevent potential photodegradation of the MB dye. This precautionary measure was taken to maintain the stability and concentration of the stock solution throughout the experimental period.
Figure 1

Structure of MB dye.

Figure 1

Structure of MB dye.

Close modal

Characterization of adsorbent

Brunauer–Emmett–Teller

The adsorbent's specific surface area, pore volume, and pore diameter were determined using the BET method on an ASAP 2020 Micromeritics instrument. Before analysis, the samples were degassed at 300 °C under nitrogen flow for 3 h to remove any adsorbed moisture or other impurities that might be present on the surface. Following degassing, the samples were transferred to the BET analyzer for analysis.

Fourier transformed infrared spectroscopy

The surface chemistry of the prepared adsorbents was investigated using FTIR. The analyses were performed on a Brucker INVENIO S spectrometer equipped with a platinum attenuated total reflectance (ATR) module. The ATR sampling technique facilitated direct analysis of the solid adsorbents onto the spectroscopy detector as the preparation method for this spectroscopy does not necessitate using a potassium bromide pellet preparation. A small amount of the adsorbent powder was placed directly onto the ATR crystal and held in place with a pressure clamp to ensure optimal contact. Infrared spectra were recorded for the untreated and treated TGL biosorbents before and after dye adsorption over a spectral range of 4,000–400 cm−1.

Scanning electron microscope

The surface morphology and porosity of the prepared adsorbents were examined using a JEOL JSM-6360LA SEM. Before imaging, the samples were mounted onto an aluminum stub using double-sided carbon tape. The stubs were then placed in an auto fine coater (JFC-1600) where a thin layer of gold was deposited onto the adsorbent surface under vacuum. This gold coating improves the sample's conductivity and prevents charging during imaging, thus enhancing image quality. The gold-coated samples were carefully transferred to the SEM chamber and the microscope was operated in high vacuum mode with an accelerating voltage of 10 kV. The micrographs were captured at 850× and 1,500× magnifications to visualize the microstructure and assess the porosity of the adsorbent materials.

Energy-dispersive X-ray spectrometer

The adsorbent's surface elemental composition and chemical characterization were determined using EDX on a TESCAN, Bruker Quantax Compact system equipped with an XFlash 600 Mini detector. Before analysis, the adsorbent sample was mounted on a thin carbon film to minimize charging effects that could arise from the interaction of the electron beam with the sample during EDX analysis. Additionally, the sample was flattened and polished to ensure a smooth and uniform surface for interaction with the electron beam before being placed directly onto the spectroscopy detector for analysis.

Batch adsorption experiment

The effect of operating parameters on dye removal efficacy was investigated through batch adsorption experiments. The influence of pH (2–10), biosorbent dosage (2–10 g/L), contact time (10–90 min), and initial dye concentration (5–30 mg/L) on the adsorption process was systematically evaluated. The pH of the test solutions was adjusted using 1 M NaOH or 1 M H2SO4 as required.

For each experiment, 100 mL of the dye solution was placed in a 250-mL conical flask, and a predetermined amount of biosorbent was added. The resulting suspension was agitated on an orbital shaker (260 basic, IKA KS) at a constant speed of 250 rpm for the specified contact time. After agitation, the adsorbent was separated from the solution by allowing it to settle for 15 min to facilitate separation from the solution. The residual dye concentration in the supernatant was then determined using a ultraviolet–visible spectrophotometer at a wavelength corresponding to the maximum absorbance of the dye. All experiments were conducted in triplicate to ensure the reliability and reproducibility of the results. Dye removal efficiency (Equation (1)) and adsorption capacity (Equation (2)) were calculated using the following equations (Orozco et al. 2018):
(1)
(2)
where Co and Ce are concentrations (mg/L) of MB dye at initial and equilibrium, respectively, V (L) is the volume of MB solution, and m (g) is the adsorbent mass.

Characterization of adsorbent

Brunauer–Emmett–Teller

BET surface area analysis (Table 1) revealed a significant increase in surface area from 5.06 m²/g for untreated TGL to 6.04 m²/g after NaOH treatment. This enhancement aligns with the established understanding (Jain & Gogate 2017) that NaOH treatment facilitates lignin removal, mitigating its interference with dye adsorption on the biosorbent. Additionally, such lignin removal may promote pore development, increase porosity, and further contribute to the higher surface area.

Table 1

BET surface area, pore volume, and average pore diameter of untreated and treated TGL

Adsorbent sampleSurface area (m2/g)Pore volume (cm3/g)Average pore diameter (nm)
Untreated TGL 5.06 0.017 13.8 
Treated TGL 6.04 0.018 11.7 
Adsorbent sampleSurface area (m2/g)Pore volume (cm3/g)Average pore diameter (nm)
Untreated TGL 5.06 0.017 13.8 
Treated TGL 6.04 0.018 11.7 

Fourier transformed infrared spectroscopy

FTIR spectroscopy (Figure 2(a)) revealed changes in functional groups due to NaOH treatment. Broad bands near 3,300 cm−1 indicated O–H stretching vibrations, signifying the presence of hydroxyl groups (Gnanasambandam & Proctor 2000; Gouamid et al. 2013; Fu et al. 2015; Khodabandehloo et al. 2017). Peaks at 2,917 and 2,859 cm−1 represented C–H stretching while peaks at 1,726 and 1,252 cm−1 confirmed the presence of carboxylic acid groups and lignin, respectively. These lignin and hemicellulose signatures diminished in treated TGL and confirmed their effective removal, which aligns with findings from other studies using similar treatment methods for cellulose-based materials (Kocaman et al. 2017; Mustapha et al. 2021). This observation also agrees with the BET analysis (Table 1) that showed increased surface area after NaOH treatment, which is likely due to lignin removal and subsequent pore development. Additionally, slight peak shifts at 1,614, 1,425, and 1,021 cm−1 provided evidence for base modification of the adsorbent surface (Al Ashik et al. 2023).
Figure 2

FTIR spectrum of (a) untreated and treated TGL, (b) untreated TGL loaded with MB, and (c) treated TGL loaded with MB.

Figure 2

FTIR spectrum of (a) untreated and treated TGL, (b) untreated TGL loaded with MB, and (c) treated TGL loaded with MB.

Close modal

Following MB adsorption (Figures 2(b) and 2(c)), untreated and treated TGLs displayed minimal peak intensity and location changes, indicating weak interactions between the dye and adsorbent. However, no new peaks emerged, suggesting the absence of covalent bonding. Nevertheless, a slight wavenumber shift in some of the peaks indicates the potential interaction of functional groups during adsorption. Similar observations were reported in a study of alkaline-treated avocado shells (Ait Haki et al. 2022).

Scanning electron microscopy

SEM images (Figure 3) revealed distinct surface morphologies between untreated and NaOH-treated TGL at various magnifications. Untreated TGL (Figure 3(a)) exhibits a fibrous structure with open stomata and surface impurities. In contrast, the treated TGL (Figure 3(b)) displays prominent pores and a markedly uneven surface texture, indicating that the NaOH treatment significantly altered the surface morphology. The increased surface roughness with numerous pores and fibrous structures is consistent with the BET analysis, which revealed an increase in surface area from 5.06 m²/g (untreated) to 6.04 m²/g (treated). This rough and irregular surface likely provides more binding sites for MB molecules, potentially contributing to enhanced adsorption. Notably, the rougher surface observed in treated TGL may significantly contribute to its enhanced dye adsorption capacity (Mustapha et al. 2021). The adsorption of MB dye onto the TGL surface likely involves its molecules occupying cavities and pores within the adsorbent structure. As evidenced by the SEM images (Figures 3(c) and 3(d)), the previously irregular, non-porous, and compact surface of the TGL (before adsorption) was covered with MB molecules after the adsorption process. These observed morphological changes visually confirm that the dye was successfully absorbed onto the surface of the leaves.
Figure 3

SEM images depicting the surface morphology of (a) untreated TGL, (b) treated TGL, (c) untreated TGL loaded with MB, and (d) treated TGL loaded with MB. All samples are presented at two magnifications: 850× and 1,500 ×.

Figure 3

SEM images depicting the surface morphology of (a) untreated TGL, (b) treated TGL, (c) untreated TGL loaded with MB, and (d) treated TGL loaded with MB. All samples are presented at two magnifications: 850× and 1,500 ×.

Close modal

Energy-dispersive X-ray spectroscopy

The EDX analysis determined the elemental composition of untreated, NaOH-treated, and MB-adsorbed TGL (Figure 4(a)–4(d)). Carbon and oxygen were the predominant elements observed in all samples, but their relative abundances differed significantly. The treated TGL exhibited a notably higher carbon content (53.65%) and lower oxygen content (40.47%) compared to the untreated TGL (43.97% carbon and 49.20% oxygen). This finding coincides with Bello et al. (2017), who reported that low oxygen and high carbon content are associated with higher adsorption capacity. The chemical activation during treatment likely enriched the treated TGL with carbon, contributing to its enhanced adsorbent potential. Furthermore, significant increases in carbon content were observed after MB adsorption (Figure 4(c) and 4(d)), indicating successful attachment of MB molecules to the TGL surface. The presence of sulfur, characteristic of the dye's sulfonic groups, further affirms adsorption. This observation aligns with previous studies on MB adsorption onto various adsorbents (Baruah et al. 2017; Jawad et al. 2018; Bello et al. 2020).
Figure 4

EDX spectra of TGL in various states: (a) untreated, (b) treated, (c) untreated and loaded with MB, and (d) treated and loaded with MB.

Figure 4

EDX spectra of TGL in various states: (a) untreated, (b) treated, (c) untreated and loaded with MB, and (d) treated and loaded with MB.

Close modal

Batch adsorption experiment

The effect of contact time

Figure 5 depicts the impact of contact time on MB sorption at an initial concentration of 30 mg/L. Both untreated and treated TGL exhibit a rapid rise in adsorption efficiency. Treated TGL displays a slightly slower but consistently higher rate of adsorption, ultimately reaching an equilibrium efficiency of 96% within 80 min. Untreated TGL reaches equilibrium faster at 60 min but with a slightly lower efficiency of 87%. This disparity can be attributed to the abundance of vacant surface sites on the TGL surface that are readily available for MB molecules to attach (Gong et al. 2013; Shakoor & Nasar 2019; Mosoarca et al. 2022).
Figure 5

The effect of contact time on MB adsorption onto untreated and treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and an 80-min contact time.

Figure 5

The effect of contact time on MB adsorption onto untreated and treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and an 80-min contact time.

Close modal

However, further extending contact time beyond the equilibrium point leads to a slight decrease in removal efficiency. This likely results from a combination of factors, primarily the saturation of active sites on the adsorbent surface, which limits further MB uptake as evidenced by the findings by Bharathi & Ramesh (2013). Additionally, some desorption, where adsorbed MB molecules detach and return to the solution, also contributes to the decreased efficiency. Even at the relatively short contact time of 80 minutes, desorption could occur after equilibrium, leading to a slight increase in the liquid-phase MB concentration. This observation of decreased efficiency after equilibrium due to potential desorption aligns with previous findings by Kurniawati et al. (2021).

The effect of adsorbent dosage

Figures 6(a) and 6(b) depict the effect of adsorbent dosage on MB dye removal efficiency for untreated and treated TGL. As the dosage increased from 2 to 10 g/L, the MB uptake on untreated TGL rose from 85.41 to 88.50% while treated TGL increased from 93.3 to 96.9%. This enhancement stems from the availability of more binding sites due to the expanded surface area at higher dosages (Khodabandehloo et al. 2017; Akindolie & Choi 2022). Notably, treated TGL consistently demonstrated higher MB removal than untreated TGL due to the alkaline treatment providing more pores on the adsorbent's surface. Despite the increase in surface area, both untreated and treated TGL showed a decrease in adsorption capacity qe as the leaf powder dosage increased from 2 to 10 g/L, with values dropping from 12.81 to 2.65 mg/g and 14.0 to 2.90 mg/g, respectively. This phenomenon is caused by the presence of unsaturated adsorption sites. As the dosage increases while the dye concentration remains constant, the number of available sites outpaces the number of dye molecules present, decreasing adsorption efficiency per unit mass of adsorbent (Molla Mahmoudi et al. 2019).
Figure 6

(a) The effect of adsorbent dosage for the adsorption of MB onto untreated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and a 60-min contact time. (b) The effect of adsorbent dosage for the adsorption of MB onto treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and an 80-min contact time.

Figure 6

(a) The effect of adsorbent dosage for the adsorption of MB onto untreated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and a 60-min contact time. (b) The effect of adsorbent dosage for the adsorption of MB onto treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and an 80-min contact time.

Close modal

Therefore, considering the adsorbent's efficiency and capacity, 8 g/L was selected as the ideal condition for further experimentation. Similar trends in the relationship between adsorbent usage, dye removal effectiveness, and the dye adsorption per unit of adsorbent have been observed in previous research (Suyamboo & Srikrishnaperumal 2014; Quansah et al. 2020).

The effect of pH

Figure 7 illustrates the effect of pH on MB adsorption by treated and untreated TGL across a pH range of 2–10. The treated TGL consistently exhibited higher MB uptake across the entire pH range, reaching a maximum removal efficiency of 94.42% and an adsorption capacity of 3.774 mg/g at pH 8 compared to the untreated TGL (83.34% and 3.074 mg/g, respectively). This performance of the treated TGL is attributed to the modifications induced by NaOH treatment.
Figure 7

The effect of pH on the adsorption of MB onto untreated and treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and a contact time of 60 and 80 min.

Figure 7

The effect of pH on the adsorption of MB onto untreated and treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and a contact time of 60 and 80 min.

Close modal

Both adsorbents displayed a general trend of increasing MB adsorption within the pH range of 2–8, followed by a subtle decrease at higher pH values (8–10). This trend can be explained by the increasing concentration of negatively charged hydroxyl groups at higher pH. These negatively charged groups electrostatically attract the positively charged MB molecules, facilitating adsorption onto the TGL surface. Such a phenomenon explains the increased adsorption efficiency and capacity at higher pH values. Consequently, the notable efficacy of MB adsorption in a basic solution led to the selection of pH 8 as the optimal condition for further experiments. Similar observations were reported for MB adsorption using thypa stems and leaves (Orozco et al. 2018) and walnut shell powder (Uddin & Nasar 2020), highlighting the potential of various biomass materials for dye removal.

The effect of initial dye concentration

Aside from contact time and adsorbent dosage, the initial dye concentration also plays a crucial role in adsorption. As illustrated in Figure 8, initial dye concentration is a crucial factor in determining the effectiveness of the adsorption process. Both untreated and treated TGL samples exhibit a distinct trend. As the initial MB concentration increased from 5 to 35 mg/L, their removal efficiency increased from 68.3 to 86.26% and 77.14 to 93.57%, respectively. Similarly, the adsorption capacity qe increased from 0.426 to 3.774 mg/g and from 0.482 to 4.093 mg/g, respectively. These findings align with observations reported by Fiaz et al. (2019) where increased initial MB concentration for Ficus palmata leaves led to enhanced removal efficiency. This is because higher dye concentrations create a more potent driving force for dye molecules to move toward the leaf surface, thus overcoming barriers and leading to faster and more complete adsorption (Khodabandehloo et al. 2017). Despite a constant adsorbent dosage, the observed increase in qe indicates the presence of more accessible binding sites at higher MB concentrations. This phenomenon highlights the efficient utilization of the adsorbent material.
Figure 8

The effect of the initial dye concentration of MB on untreated and treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and contact times of 60 and 80 min.

Figure 8

The effect of the initial dye concentration of MB on untreated and treated TGL at an initial MB concentration of 30 mg/L, an adsorbent dosage of 8 g/L, and contact times of 60 and 80 min.

Close modal

Adsorption isotherm

The adsorption isotherms provide insight into the interactions occurring at equilibrium between adsorbent and adsorbate molecules (Ait Haki et al. 2022). Specifically, the Langmuir isotherm postulates that adsorption occurs on specific sites on the adsorbent surface with each site having equal energy and only allowing the occupancy of a single molecule, leading to the formation of a monolayer. The Langmuir isotherm is mathematically represented by Langmuir (1918):
(3)
where Ce (mg/L) is the equilibrium concentration of the adsorbate in the solution, qe (mg/g) is the amount of adsorbate adsorbed per unit mass of adsorbent, qmax (mg/g) is the maximum adsorption capacity of the adsorbent, and KL (L/mg) is the Langmuir adsorption constant.
The plot of 1/qe vs. 1/Ce (Figure 9) revealed a linear relationship, suggesting adherence to the Langmuir isotherm model. Table 2 summarizes the calculated parameters, including the maximum adsorption capacities (qmax) of 0.822 mg/g and 0.330 mg/g for treated and untreated TGL, respectively. Additionally, both models exhibited excellent fit with R² values exceeding 0.97 (0.993 for treated and 0.9718 for untreated). Further analysis of the Langmuir isotherm can be conducted through the dimensionless separation factor (RL), as defined by Weber & Chakravorti (1974):
(4)
Table 2

Langmuir and Freundlich isotherm parameters for MB adsorption onto treated TGL

Isotherm modelsUntreated TGLTreated TGL
Langmuir   
qmax (mg/g) 0.330 0.822 
KL (L/mg) 0.217 0.514 
RL 0.155 0.072 
R2 0.9725 0.993 
Freundlich   
KF (mg/g) 5.146 3.440 
1/n 1.8933 3.9494 
n 0.194 0.253 
R2 0.9855 0.9964 
Isotherm modelsUntreated TGLTreated TGL
Langmuir   
qmax (mg/g) 0.330 0.822 
KL (L/mg) 0.217 0.514 
RL 0.155 0.072 
R2 0.9725 0.993 
Freundlich   
KF (mg/g) 5.146 3.440 
1/n 1.8933 3.9494 
n 0.194 0.253 
R2 0.9855 0.9964 
Figure 9

Langmuir isotherm plot of MB adsorption onto untreated and treated TGL.

Figure 9

Langmuir isotherm plot of MB adsorption onto untreated and treated TGL.

Close modal

where KL (L/mg) represents the Langmuir constant and Co (mg/L) denotes the initial dye concentration. Based on RL values, adsorption behavior can be categorized as favorable (0 < RL < 1), unfavorable (RL > 1), linear (RL = 1), or irreversible (RL = 0). This study calculated RL values ranging from 0 to 1, confirming favorable blue MB adsorption onto TGL under the investigated conditions. This suggests favorable interactions between the TGL surface and MB molecules, facilitating efficient dye removal from the aqueous solution.

The Freundlich isotherm contrasts the Langmuir model by postulating adsorption on heterogeneous surfaces, where the capacity for adsorption increases proportionally with the equilibrium concentration (Zhu et al. 2016). This relationship is mathematically expressed by the Freundlich equation (Freundlich 1906):
(5)
where qe is the amount of solute adsorbed per unit mass of adsorbent, Kf (mg/g) is the Freundlich constant indicating adsorption capacity, and 1/n is a constant reflecting adsorption intensity. According to Dada et al. (2012), the value of n is described as linear adsorption when n = 1, chemical interaction in adsorption when n < 1, physical interaction with adsorption when n > 1, a favorable adsorption process when 0 < 1/n < 1, and a cooperative adsorption process when 1/n > 1.
Figure 10 presents a linear relationship between ln qe and ln Ce (with R² exceeding 0.985) for treated and untreated TGL, enabling the determination of Freundlich constants (Kf and 1/n) presented in Table 2. Notably, the calculated 1/n values exceeding 1 suggest a cooperative adsorption process for both materials, while n being less than 1 indicates potential chemical interactions between the MB molecules and the heterogeneous surface of the TGL.
Figure 10

Freundlich isotherm plot of MB adsorption onto untreated and treated TGL.

Figure 10

Freundlich isotherm plot of MB adsorption onto untreated and treated TGL.

Close modal

Statistical analysis

The influence of various physicochemical parameters on the adsorption efficiency of TGL powder for dye removal was investigated using a one-way analysis of variance (ANOVA) by focusing on adsorbent dosage, contact time, initial dye concentration, and pH. The ANOVA procedure relied on comparing the F statistic with the F critical value and evaluating the p-value. We reject the null hypothesis and accept the alternative hypothesis if the F-value exceeds the F critical and the p-value is less than 0.05, indicating a statistically significant difference between the mean removal efficiencies. Conversely, a p-value greater than 0.05 implies no significant difference among the means, thus the null hypothesis is accepted.

The ANOVA results in Tables 3 and 4 revealed a statistically significant impact of adsorbent dosage on the removal efficiency for both untreated and treated TGL (p < 0.05). It indicates that the amount of TGL significantly impacted its dye removal capacity. Conversely, no statistically significant differences were observed for contact time, initial dye concentration, and pH (p > 0.05). These findings suggest that within the investigated range, these parameters did not substantially influence the adsorption performance of TGL.

Table 3

One-way ANOVA for the effect of adsorbent dosage, contact time, concentration, and pH on MB adsorption efficiency by untreated TGL

Source of variationFstatisticsp-valueFcriticalCharacteristics
Dosage 5.360 0.0029 2.758 Significant 
Contact time 45.172 5.23 × 10−5 0.4897 Not significant 
Concentration 160.904 2.6 × 10−8 4.747 Not significant 
pH 2582.76 2.49 × 10−11 0.498 Not significant 
Source of variationFstatisticsp-valueFcriticalCharacteristics
Dosage 5.360 0.0029 2.758 Significant 
Contact time 45.172 5.23 × 10−5 0.4897 Not significant 
Concentration 160.904 2.6 × 10−8 4.747 Not significant 
pH 2582.76 2.49 × 10−11 0.498 Not significant 
Table 4

One-way ANOVA for the effect of adsorbent dosage, contact time, concentration, and pH on MB adsorption efficiency by treated TGL

Source of variationFstatisticsp-valueFcriticalCharacteristics
Dosage 5.483 0.0015 2.6414 Significant 
Contact time 32.872 5.17 × 10−5 0.4794 Not significant 
Concentration 220.916 4.32 × 10−9 4.747 Not significant 
pH 3405.05 8.26 × 10−12 5.317 Not significant 
Source of variationFstatisticsp-valueFcriticalCharacteristics
Dosage 5.483 0.0015 2.6414 Significant 
Contact time 32.872 5.17 × 10−5 0.4794 Not significant 
Concentration 220.916 4.32 × 10−9 4.747 Not significant 
pH 3405.05 8.26 × 10−12 5.317 Not significant 

This study demonstrates the potential of TGL treated with NaOH as an effective, cost-efficient, and high-performance adsorbent for removing MB from wastewater. The treated leaves significantly increased MB uptake capacity with higher initial dye concentrations. The optimal contact time for adsorption was 80 min while the ideal biosorbent dosage and pH were 8.0 g/L and 8.0, respectively. Langmuir isotherm analysis revealed the presence of homogeneous adsorption sites on the treated TGL, which is further supported by the favorable separation factor (RL) indicative of efficient MB sorption. Notably, the maximum monolayer adsorption capacity of the leaf powder reached 0.822 mg/g, highlighting the potential of NaOH-treated TGL as a cost-effective and practical solution for MB removal for further study.

The authors gratefully acknowledge the financial support from the Ministry of Higher Education (MoHE) through the Malaysian International Scholarship. The authors also thank the Faculty of Ocean Engineering Technology, Universiti Malaysia Terengganu for providing essential facilities and Mr Raji Ibrahim Olayemi for designing the graphical abstract.

This research was funded by the Ministry of Higher Education (MoHE), Malaysia through the Malaysian International Scholarship.

A.A.F. conceived the study, conducted the investigation, wrote the manuscript, and reviewed and edited the article. A.A. and S.H. supervised and reviewed the research and edited the article. A.A.F., A.A., S.H., and F.A. read and approved the final manuscript.

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

The authors declare there is no conflict.

Ahmad
M. A.
,
Ahmed
N. B.
,
Adegoke
K. A.
&
Bello
O. S.
(
2021
)
Adsorptive potentials of lemongrass leaf for methylene blue dye removal
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Ait Haki
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Imgharn
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