Abstract
Azo dyes are commonly used in textile industries; however, when these dyes cross the permissible limit set by the World Health Organization, they produce many health issues related to the brain, liver, kidneys, respiration, and sexual system. Herein, polyvinyl pyrrolidone (PVP)-supported manganese oxide (MnO2) was studied for azo dye removal from an aqueous medium. The adsorption mechanism study demonstrated that the dye adsorption by MnO2–PVP composite was not only due to the electrostatic force of attraction but also involved the ion exchange amid the hydroxide group and dye molecules. The surface area of the composite (120 m2 g−1) was larger than that of metal oxide (102 m2 g−1). The point of zero charge and surface area were improved from 5.2 and 102 to 5.6 and 120 m2 g−1, respectively. The dye removal capacity of MnO2–PVP composite was significantly higher than that of plain MnO2. The film diffusion control adsorption kinetic mechanism and the kinetic data were well fitted to the pseudo-second-order equation. Experiments were conducted as a function of initial dye concentration (5–200 mg L−1), pH (3–10), temperature (298–328 K), and adsorbent dosage (0.05–0.4 g) in batch adsorption systems. The thermodynamic investigations confirm that the dye adsorption process was endothermic in nature.
HIGHLIGHTS
The polyvinyl pyrrolidone (PVP)/MnO2 composite was synthesized by the solvothermal method.
The adsorption capacity of PVP/MnO2 was higher than plain metal oxide.
Detail adsorption mechanism was studied by kinetic models.
PVP/MnO2 could be used as a candidate in the water filtration assembly of dyes.
Detail characterization of the plain and composite metal oxides was performed.
INTRODUCTION
Drinking water contamination is one of the environmental problems all over the world and particularly in big cities of our country (Peshawar, Karachi, Lahore, and Faisalabad), which made the general public at risk due to intolerable levels of dyes in the water system and food webs (Parveen & Rafique 2018; Mon et al. 2019; Kabuba & Banza 2021; Khan et al. 2022; Abugu et al. 2023). Azo dyes, containing one or more azo group (N = N), are the most widely used dyes such as methyl orange and Congo red. However, when these dyes cross the permissible limit set by World Health Organization, it produces many health issues related to the brain, liver, kidneys, respiration, and sexual system (Nuengmatcha et al. 2023; Oladoye et al. 2023). Even trace amount of these dyes also shows high visibility, reducing the penetration of sunlight in water and inhibiting the oxygen content and the photosynthesis process. Furthermore, aromatic amines with azo group have been shown to be carcinogenic to animals and human beings (Aliabadi & Mahmoodi 2018; Naseem et al. 2018; Zhang et al. 2019). Therefore, these dyes must be treated before and after entering the general public drinking water.
Activated carbon is a familiar adsorbent for decontamination of drinking water from toxic organic pollutants; however, activated carbon has various limitations such as slow kinetics and lower capacity for micro-pollutants, and regeneration requires energy (Alsbaiee et al. 2016). Various traditional adsorbents can solve drawbacks up to some extent. However, controlling the adsorbent surface (point of zero charge (PZC)) and its surface area toward the high adsorption is fairly difficult due to the complex structure of dyes. For this approach, finding a highly selective sustainable adsorbent for researchers is desired.
Polyvinyl pyrrolidone (PVP) is frequently exercised as a surfactant due to nontoxicity and biocompatibility and changed the exposed crystal facets. It is frequently used as a stabilizer and controls the surface configuration. PVP efficiently enhances the percentage of exposed surface area. Our current research findings are concerned with the adsorption of carcinogenic and mutagenic azo dyes from the aqueous medium by newly prepared PVP-modified MnO2 with high efficiency. A detailed investigation of the process was carried out to find the adsorption mechanism by composite materials. Kinetic and thermodynamic investigation helps us to probe into the adsorption mechanism during the adsorption of methyl orange and Congo red.
MATERIALS AND METHODS
Chemicals and reagents
All the chemicals (methyl orange, Congo red, NaOH, HCl, and NaNO3) and solvents (distilled water, ethanol, and n-hexane) were used as supplied with no additional purification. A total of 1,000 mg L−1 stock solution of dyes was prepared. Buffers, NaOH (0.1–0.5 M), and HCl (0.1–0.5 M) were employed for pH adjustment. The dye solutions ranged from 5 to 200 mgL−1 for all experiments. All chemicals utilized were research grade in purity, and distilled water was used in solution preparation in the course of the investigation.
Synthesis of composite material
The composite material was synthesized by the previously applied hydrothermal method (Li et al. 2015; Khan et al. 2022) with changes. A 0.5 M MnO2 and 0.1 M PVP were mixed in 100 ml beaker and stirred for 2 h at room temperature (298 K) until the solution became clear. The white precipitate was centrifuged, washed with DI water and ethanol, and dried at 80 °C in the oven for 6 h before further processing.
Characterization of MnO2–PVP composite
The morphologies and elemental analysis of the as-formed materials were determined by scanning electron microscope (model: JSM 5910, JEOL, Japan) and Energy Dispersive X-ray Spectrometer (EDX) (model: INCA 200, Oxford Instruments, England). The surface area was calculated by Quantachrome Nova 2200e (Quantachrome Instruments, USA). The geometry was characterized by the X-ray diffraction (XRD) model JDX-3532 (JEOL). The thermo-gravimetric analysis (TGA) was performed by a TGA analyzer (Perkin Elmer, USA; model: Pyris Diamond Series TG/DTA). Fourier-transform infrared spectroscopy (FTIR) was performed by IR (model: Shimadzu 8201 PC; Shimadzu, Japan). The PZC of materials was determined experimentally by the salt addition method.
Adsorption experimentations
The mixture of adsorbent (0.05–0.4 g) and 40 ml of dye of various concentrations (5–200 mg L−1) was placed in a shaker for various intervals of time (1–2,880 min). The pH (3–10) was adjusted, and the temperature was in the range of 298–328 K. After flirtation, the dye concentration was analyzed by Vernier Spectrovis plus fluorescence. The equilibrium concentration (Ce) of dye was calculated with the help of a calibration curve.
RESULTS AND DISCUSSION
Characterization of MnO2 and MnO2–PVP composite
Surface area
The surface areas of MnO2 and MnO2–PVP composite were calculated by the adsorption–desorption method, and the surface area of PVP-supported MnO2 was found to be 120 m2 g−1, while for MnO2, it was 102 m2 g−1. The pore size and the surface area of plain oxide (3.162 nm and 102 m2 g−1) were lower than those of supported oxide (3.30 nm and 120 m2/g). The difference in surface areas and porosity of the two materials is due to the attachment of the organic component (PVP) to the inorganic component (MnO2) where the porosity of carbon plays a role in higher surface area and particle porosity after composite formation, and hence, the material becomes carbonaceous (Bhatnagar & Jain 2005).
Point of zero charge
PZC (a), FTIR (b), TGA (c), and XRD (d) of MnO2 and MnO2–PVP composite.
FTIR analysis
The FTIR study provides information about functional groups available at the solid surface. A strong peak at 525 cm−1 in MnO2 shows the stretching vibration of the MnO bond (Figure 1(b). The absorption bands at 1,068, 1,157, and 1,351 cm−1 confirm the O-H bending vibrations connected with manganese atoms. Furthermore, the band from 3,700 to 3,443 cm−1 for metal oxide and polymer-loaded metal oxide is allocated to O-H stretching, whereas the band at 1,814–1,531 in the composite corresponds to the C-O stretching and the peak at 1,945 cm−1 is due to hydrogen bonding in composite, which proves the attachment of organic groups on the surface of composite (Saeed et al. 2021; Song et al. 2021). The contact is due to electron pair donation to cation from carbonyl oxygen, and a complex formation amid cation and nitrogen (Rose et al. 2013).
TGA analysis
XRD analysis
XRD is frequently used to define the crystalline, amorphous, or semi-crystalline nature of the materials and also provides an idea about the unit cell dimensions. The XRD spectra of metal oxide and PVP-loaded metal oxide (Figure 1(d)) confirm the poor crystallinity of both materials, and similar results were presented by Yuan et al. (2015) for the MnO2/PPy composite.
Batch adsorption study
Kinetic study of adsorption
Kinetics of methyl orange (a), and Congo red (b), pseudo-second-order plot for methyl orange (c), and Congo red (d) on MnO2–PVP composite at pH 5.
Kinetics of methyl orange (a), and Congo red (b), pseudo-second-order plot for methyl orange (c), and Congo red (d) on MnO2–PVP composite at pH 5.
Pseudo-first-order model







Kinetic parameters for methyl orange adsorption at pH 5
Pseudo-first-order parameters . | Pseudo-second-order parameters . | ||||||
---|---|---|---|---|---|---|---|
Temperature (K) . | Experimental qe×105 (mol g−1) . | Theoretical qe×105 (mol g−1) . | k1 min−1 . | R2 . | k2 (g min−1 mol−1) . | Theoretical qe×105 (mol g−1) . | R2 . |
298 | 4.62 | 3.47 | 0.399 | 0.35 | 0.038 | 5.24 | 0.99 |
308 | 5.62 | 4.83 | 0.561 | 0.44 | 0.063 | 5.98 | 0.98 |
318 | 5.48 | 4.47 | 0.738 | 0.61 | 0.077 | 5.74 | 0.99 |
Pseudo-first-order parameters . | Pseudo-second-order parameters . | ||||||
---|---|---|---|---|---|---|---|
Temperature (K) . | Experimental qe×105 (mol g−1) . | Theoretical qe×105 (mol g−1) . | k1 min−1 . | R2 . | k2 (g min−1 mol−1) . | Theoretical qe×105 (mol g−1) . | R2 . |
298 | 4.62 | 3.47 | 0.399 | 0.35 | 0.038 | 5.24 | 0.99 |
308 | 5.62 | 4.83 | 0.561 | 0.44 | 0.063 | 5.98 | 0.98 |
318 | 5.48 | 4.47 | 0.738 | 0.61 | 0.077 | 5.74 | 0.99 |
Kinetic parameters for Congo red adsorption at pH 5
Pseudo-first-order parameters . | Pseudo-second-order parmeters . | ||||||
---|---|---|---|---|---|---|---|
Temperature (K) . | Experimental qe×105 (mol g−1) . | Theoretical qe×105 (mol g−1) . | k1 min−1 . | R2 . | k2 (g min−1 mol−1) . | Theoretical qe×105 (mol g−1) . | R2 . |
298 | 2.036 | 1.89 | 0.074 | 0.40 | 0.517 | 2.053 | 0.99 |
308 | 2.162 | 1.99 | 0.121 | 0.40 | 0.490 | 2.177 | 0.98 |
318 | 2.491 | 2.03 | 0.125 | 0.15 | 0.504 | 2.505 | 0.99 |
Pseudo-first-order parameters . | Pseudo-second-order parmeters . | ||||||
---|---|---|---|---|---|---|---|
Temperature (K) . | Experimental qe×105 (mol g−1) . | Theoretical qe×105 (mol g−1) . | k1 min−1 . | R2 . | k2 (g min−1 mol−1) . | Theoretical qe×105 (mol g−1) . | R2 . |
298 | 2.036 | 1.89 | 0.074 | 0.40 | 0.517 | 2.053 | 0.99 |
308 | 2.162 | 1.99 | 0.121 | 0.40 | 0.490 | 2.177 | 0.98 |
318 | 2.491 | 2.03 | 0.125 | 0.15 | 0.504 | 2.505 | 0.99 |
Pseudo-second-order model
Adsorption mechanism
Intraparticle diffusion model
Intraparticle model parameters for methyl orange at pH 5
Temperature (K) . | Kd×107 (mol g−1 min−0.5) . | R2 . |
---|---|---|
298 | 19.1 | 0.97 |
308 | 21.1 | 0.94 |
318 | 7.1 | 0.91 |
Temperature (K) . | Kd×107 (mol g−1 min−0.5) . | R2 . |
---|---|---|
298 | 19.1 | 0.97 |
308 | 21.1 | 0.94 |
318 | 7.1 | 0.91 |
Intraparticle model parameters for Congo red at pH 5
Temperature (K) . | Kd×107 (mol g−1 min−0.5) . | R2 . |
---|---|---|
298 | 2.43 | 0.91 |
308 | 2.06 | 0.97 |
318 | 5.41 | 0.98 |
Temperature (K) . | Kd×107 (mol g−1 min−0.5) . | R2 . |
---|---|---|
298 | 2.43 | 0.91 |
308 | 2.06 | 0.97 |
318 | 5.41 | 0.98 |
Intraparticle diffusion plots for methyl orange (a), Congo red (b), Boyd plot for methyl orange (c), and Congo red (d) on MnO2–PVP composite at pH 5.
Intraparticle diffusion plots for methyl orange (a), Congo red (b), Boyd plot for methyl orange (c), and Congo red (d) on MnO2–PVP composite at pH 5.
Boyd model
Effect of various parameters
Effect of concentration
Initial concentration effect (a), pH (b), adsorbent amount (c), and temperature (298–328 K) (d) of methyl orange and Congo red adsorption onto MnO2–PVP composite.
Initial concentration effect (a), pH (b), adsorbent amount (c), and temperature (298–328 K) (d) of methyl orange and Congo red adsorption onto MnO2–PVP composite.
These occurrences could be attributed to several factors: (a) At low initial concentration, the availability of vacant pores, and binding sites on PVP-loaded MnO2 are high. However, the fractional adsorption and mass transfer of methyl orange and Congo red become low, leading to the lower percentage eliminations of azo dyes at initial dye concentrations below 200 mg L−1. (b) As the initial dye concentration increases from 50 mg L−1, the mass transfer force of dye also increases, leading to high adsorption on available binding sites of PVP-loaded MnO2. (c) As the initial dye concentration further increases above 100 mg L−1 and particularly at 200 mg L−1, the ratio of the dye molecules to the available binding sites is at levels that do not support mass transfer. Moreover, at initial dye concentration, the mass transfer of dye molecules is higher due to the increased methyl orange and Congo red to binding sites ratio; however, the number of available binding sites on the MnO2–PVP composite will decrease and disappear as the dye molecules occupy them. This results in general lower removal percentages of methyl orange and Congo red at high initial concentrations. Similar results were reported by Guo et al. while studying regenerated cellulose/polyethyleneimine composite aerogel for efficient and selective adsorption of anionic dyes (Guo et al. 2024).
Effect of pH
The adsorption of dye by PVP-supported MnO2 is studied in pH ranges from 3 to 10 at 298 K. The adsorbent quantity and initial dye concentration were set at 0.1 g, and 50 mg/L respectively. The removal was decreased with an increase in the pH of the system (Figure 4(b). This decrease at higher pH was due to OH ions on the surface at higher pH and its competition with anionic dyes toward the surface, leading to a decrease in adsorption. On the other hand, at lower pH values, the amine groups of the dye protonated to produce a positive surface, which results repulsion between the dye and surface of the adsorbent. At lower pH values, the dominant electrostatic forces create a connection amid anionic dye and positive surface. On the other hand, the electrostatic force of repulsion leading to decreased adsorption (Arrisujaya et al. 2023; Khan et al. 2020b).
Effect of adsorbent dosage
The adsorption of azo dyes from 50 mg L−1 solution was conducted by changing the adsorbent dosage from 0.05 to 0.4 g. Figure 4(c) shows that the percent removal increases when the amount increases from 0.05 to 0.1 g and remains constant from 0.1 to 0.25 g of adsorbent. The high adsorption is due to the availability of more sites when we go from 0.05 to 0.1 g, but after 0.1 g adsorbent, the agglomeration of adsorbent particles occurred and thus lowering in the adsorption is observed. The mass of 0.1 g of adsorbent was taken as the optimized dose for further experiments. Similar results were reported by Khan et al. (2020b).
Effect of temperature
The effect of temperature on the adsorption process is conducted in a range of 298 to 328 K (Figure 4(d). The dye elimination was found to increase with the increase in temperature (298–328 K) for both methyl orange and Congo red. The methyl orange adsorption increased up to 318 K but decreased at 328 K due to a change in surface configuration at a very high temperature. However, the reaction is endothermic when the temperature increased from 298 to 318 K. The high mobility of dyes at high temperature (328 K) is accountable for high adsorption (Naeem et al. 2014). A comparison of azo dye adsorption of the reported literature with our adsorbent is shown in Table 5.
Comparison of maximum adsorption capacity of various adsorbents for Congo red removal
Adsorbent . | qm (mg g−1) . | References . |
---|---|---|
Hierarchical NiO nanosheets | 151.7 | Cheng et al. (2011) |
Hierarchical spindle-like γ-Al2O3 | 176.7 | Cai et al. (2010) |
Hollow hierarchical MnO | 60 | Fei et al. (2008) |
NiO-SiO2 hollow microspheres | 204 | Lei et al. (2016) |
Hierarchical porous NiO/Al2O3 | 186.9 | Rong et al. (2017) |
MnO2–PVP composite | 311 | This study |
Adsorbent . | qm (mg g−1) . | References . |
---|---|---|
Hierarchical NiO nanosheets | 151.7 | Cheng et al. (2011) |
Hierarchical spindle-like γ-Al2O3 | 176.7 | Cai et al. (2010) |
Hollow hierarchical MnO | 60 | Fei et al. (2008) |
NiO-SiO2 hollow microspheres | 204 | Lei et al. (2016) |
Hierarchical porous NiO/Al2O3 | 186.9 | Rong et al. (2017) |
MnO2–PVP composite | 311 | This study |
Adsorption isotherms
Langmuir model




Langmuir parameters at 298 K at pH 5
Dye . | Xm × 105 (mol g−1) . | Kb (L g −1) . | R2 . |
---|---|---|---|
Methyl orange | 8.396 | 13,992 | 0.96 |
Congo red | 3.396 | 84,646 | 0.977 |
Dye . | Xm × 105 (mol g−1) . | Kb (L g −1) . | R2 . |
---|---|---|---|
Methyl orange | 8.396 | 13,992 | 0.96 |
Congo red | 3.396 | 84,646 | 0.977 |
Langmuir isotherm for methyl orange (a), and Congo red (b), DR plot for methyl orange (c), and Congo red (d) by MnO2–PVP composite.
Langmuir isotherm for methyl orange (a), and Congo red (b), DR plot for methyl orange (c), and Congo red (d) by MnO2–PVP composite.
Dubinin–Radushkevich model
Equation 10 was applied to find E. The mean adsorption energy was 1.088 for Congo red, while 1.27 (kJ mol−1) for methyl orange, which gives information regarding the mechanisms of the process. If the E values are in the range of 8–16 kJ mol−1, the adsorption process is chemical in nature, and when E is less than 8 kJ mol−1, then the process in physical in nature. Herein, in both cases, the values of E are less than 8 (Table 7), which confirms the physical adsorption (Mahmood et al. 2014).
DR parameters for at 298 K at pH 5
Dye . | E (kJ mol−1) . | R2 . |
---|---|---|
Methyl orange | 1.271 | 0.96 |
Congo red | 1.088 | 0.95 |
Dye . | E (kJ mol−1) . | R2 . |
---|---|---|
Methyl orange | 1.271 | 0.96 |
Congo red | 1.088 | 0.95 |
Thermodynamics study


Thermodynamics parameters of methyl orange
Temperature (K) . | ΔG (kJ mol−1) . | ΔH (kJ mol−1) . | ΔS (J mol −1 K−1) . |
---|---|---|---|
298 | −22.46 | 21.6 | 75.38 |
308 | −23.21 | ||
318 | −23.97 | ||
328 | −24.72 |
Temperature (K) . | ΔG (kJ mol−1) . | ΔH (kJ mol−1) . | ΔS (J mol −1 K−1) . |
---|---|---|---|
298 | −22.46 | 21.6 | 75.38 |
308 | −23.21 | ||
318 | −23.97 | ||
328 | −24.72 |
Thermodynamics parameters of Congo red
Temperature (K) . | ΔG (kJ mol−1) . | ΔH (kJ mol−1) . | ΔS (J mol −1 K−1) . |
---|---|---|---|
298 | −0.50 | 21.8 | 66.96 |
308 | −1.17 | ||
318 | −1.84 | ||
328 | −2.51 |
Temperature (K) . | ΔG (kJ mol−1) . | ΔH (kJ mol−1) . | ΔS (J mol −1 K−1) . |
---|---|---|---|
298 | −0.50 | 21.8 | 66.96 |
308 | −1.17 | ||
318 | −1.84 | ||
328 | −2.51 |
Moreover, the lower negative value of ΔG is observed for Congo red compared to methyl orange, demonstrating that Congo red adsorption is energetically less favorable. The positive values of (66.96 and 75.38 J mol −1 K−1) for Congo red and methyl orange, respectively, are due to the high randomness, which confirms a good affinity of dyes toward the surface. The positive values of
also reveal that the arrangement of dye molecules on solid – solution interface turns into more randomness. The positive
value confirms an endothermic process (Khan et al. 2020b).
CONCLUSION
The adsorption efficiency of the MnO2–PVP composite toward azo dyes was considerably enhanced compared to MnO2, which confirms the role of polymer in composite materials. The successful interaction of PVP with MnO2 is confirmed by the FTIR analysis and other techniques. The high value of the binding energy constant (Kb) in the case of PVP-loaded MnO2 composite as compared to MnO2 is evidence of greater affinity of the dye toward the composite adsorbent. Kinetically adsorption was followed by film diffusion and intraparticle diffusion. The thermodynamic investigations confirm that the dye adsorption process was endothermic, spontaneous, and physical in nature. The MnO2–PVP composite can be utilized as the best adsorbent for wastewater treatment through adsorption.
AUTHOR CONTRIBUTION
Afsar Khan (first and corresponding author): experiments and writing – original draft; Muhammad Arif (second corresponding author): experiments and revision; Zhengwei Han: writing and review; Yu Xie: graphs and tables and manuscript revision; Chenquan Ni: editing.
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.