RESEARCH ARTICLE

 

Photocatalytic Degradation of Direct Red 16 Dye using Ag/Ag₃VO₄/AgVO₃/GO Nanocomposite

 

 

Behzad Hazizadeh Fard^I; Roya Ranjineh Khojasteh^I; Parvin Gharbani^{II, *}

^IDepartment of Inorganic Chemistry, Faculty of Chemistry, Tehran North Branch, Islamic Azad University, Tehran, Iran
^IIDepartment of Chemistry, Ahar Branch, Islamic Azad University, Ahar, Iran

 

 

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ABSTRACT

In this research, synthesized Ag NPs/Ag₃VO₄/AgVO₃/GO was applied as a visible-light sensitive photocatalyst for photocatalytic degradation of Direct Red 16 dye (DR16) from aqueous solutions. The synthesized nanocomposite was analyzed by XRD, FESEM, TEM, EDX and Dot mapping. The effect of DR16 dye concentration, AgNPs/Ag₃VO₄/AgVO₃/GO dosage, time and pH on photocatalytic removal of DR16 were studied. Results revealed thatpH, dosage and DR16 concentration are more important parameters than time on photocatalytic removal of the dye. The results indicate that 58.98 % of DR16 removal was obtained under the following optimized conditions: DR16 concentration = 32 mg L^-1; Ag NPs/Ag₃VO₄/AgVO₃/GO dosage = 0.2 g 50 mL^-1; pH = 4.5; 300 W visible light for 155 min. So, it was concluded that the new nanocomposite can be used as an efficient visible-light photocatalyst for degradation of Direct Red 16 dye.

Keywords: Ag NPs/Ag₃VO₄/AgVO₃, Direct Red 16, graphene oxide, visible light.

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1. Introduction

The content of wastewaters generated by textile industries are of great concern since these industries employ over 10 000 types of dyes,^1,2 but also include various other organic and inorganic chemicals.³ Their high dye content is of major concern as it prevents light penetration through the wastewater receiving resources.⁴ Many of these chemicals cannot be removed by conventional treatment methods, therefore, strict limitations have been considered for their disposal into the environment.⁵ Moreover, biological systems do not degrade many of these pollutants and are toxic to living organisms.^6,7 The high resistance of the dye molecules is due to the presence of one or more benzene rings, which are toxic and non-degradable and lead to irreversible damage to the environment. Consequently, it is essential to treat the dye wastewaters by appropriate methods before disposing of them into natural water resources.⁸

In particularly, azo dyes should be removed, since they are highly resistant under aerobic conditions and their anaerobic reduction renders aromatic amine by-products, which are intrinsically carcinogenic and mutagenic.^9,10 One of the most important and widely employed azo dyes is Direct DR16. This dye has been reported to be highly carcinogenic, mutagenic and resistant against biodegradation.¹¹ Therefore, an efficient technique should be devised to eliminate DR16 from water and wastewater.

Different physical and chemical processes have been employed to remove dyes, including coagulation and flocculation, chemical oxidation, biological treatment, electrochemical techniques, ion exchange, adsorption, etc.¹² Among these methods, advanced oxidation processes (AOPs) have been described as efficient techniques for removal of resistant pollutants.^13-15 Specifically, photocatalytic oxidation processes under UV light in the presence of various catalysts, such as TiO₂, ZnO and ZrO₂, have gained more interest in degradation of organic contami-nants.¹⁶ This latter method has been applied to the removal of organic pollutants, particularly azo dyes.¹⁷ Photocatalytic processes have gained much attention due to their applicability in using solar light as a renewable source of energy and thus in turn, excluding the need for chemicals.¹⁸ Photocatalysis still has challenges with regard to its general applicability to industrial systems. One of the main challenges is the development of a visible-light-active and highly efficient photocatalyst.¹⁹ In this respect, application of heterogeneous semiconductor composites has been recommended.²⁰ The advantages of these materials are the lack of necessity for high compatibility between the composite components and the possibility of choosing proper bonding agents to provide charge carrier separation and the range of bandgap energies of the various semiconductor materials.²¹

In recent years, interest in composite based on graphene oxide (GO) with silver species has increased since Ag-containing materials present a high photocatalytic efficiency in degradation of organic pollutants under visible-light irradiation. However, Ag species are unstable under this processes and are easily affected by photocorrosion. In fact, under visible-light irradiation, Ag+ reduces to Ag⁰, the reduced Ag species block the active photo-catalyst sites and therefore decrease their photocatalytic effi-ciency.²² Consequently, the Ag species should be modified to prevent reduction of the Ag ions by the photogenerated electrons. Previous studies have shown that GO is an appropriate material for this purpose as it can capture the photogenerated electrons and prevent the reduction phenomenon.²³ According to the literature, Ag₂O,²⁴Ag₃PO₄,²⁵Ag₂CO₃²⁶ and Ag/AgX (X=Br or Cl)²⁷ are more efficient than other Ag compounds in photocatalytic degradation of organic molecules under visible light. So, modifying the structure of Ag compounds with GO should improve the visible-light photocatalytic performance.

Response surface methodology (RSM) is a useful technique for evaluation of several input variables that affect the efficiency or the qualitative properties of interest. Also, this method is a beneficial tool for optimization studies.²⁸ RSM proposes a second- or higher-order equation to relate the response to the experimental parameters. The proposed relationship can be used to reach the optimal conditions of the system.²⁹ The mathematical relationship between the response and the variables can be expressed as the following second-order polynomial equation:

where y is the predicted removal efficiency, x_i and x_j are the variables, β₀ is a constant coefficient, and β_i, β_ii and β_ij are the coefficients of the linear, quadratic and mutual effects, respectively.

This aim of this study is to investigate photocatalytic degradation of the DR16 azo dye by Ag NPs/Ag₃VO₄/AgVO₃/GO nano-composite under visible light and evaluate the effect of pH, DR16 concentration, time and catalyst dosage on DR16 degradation. The performance of the process is predicted and optimized using a second-order equation by RSM.

 

2. Materials and Methods

Graphite, KMnO₄,H₂SO₄, HCl, NaOH, V₂O₅,K₂CO₃,H₂O₂, AgNO₃, NaNO₃ were purchased from Merck, Germany. Direct Reactive 16 was obtained from Arta Rezine Arasbaran Company, Iran.

2.1. Preparation of Ag NPs/Ag₃VO₄/AgVO₃/GO

240 mL AgNO₃ (0.1 M) and 1.2 g GO were stirred vigorously for 90 min to prepare the AgNO₃/GO suspension. The AgNO₃/GO suspension was added dropwise to 60 mL of a fresh 0.1 M KVO₃ solution. The resultant solution was stirred for 30 min to precipitate a yellow solid. Since the pH of solution reached 7, a dark green precipitate was formed. The obtained solid was stirred for 1 h and left overnight at room temperature. The precipitated was washed for several times with deionized water and dried in an oven at 45 °C.³⁰

2.2. Analysis

The synthesized nanocomposite was characterized by X-ray diffraction (XRD, X'Pert Pro, Panalytical), field emission scanning electron microscopy (FE-SEM, SIGMA VP-500, Zeiss), transmission electron microscopy (TEMs Zeiss-EM10C-100 KV, Germany), dot mapping and energy dispersive X-ray spectros-copy (AZtec Energy Software, Oxford Instruments). DR5000-15 V (HACH CO, America) UV-Vis spectrophotometer was used to analysis of the dye concentration at any time.

2.3. Photodegradation Activity

To investigate the efficiency of the synthesized nanocom-posite, Direct Red 16 dye (Fig. 1) was selected as the model dye.

 

 

To perform the photocatalytic degradation experiments, a 300 W visible light bulb with a tungsten halide filament was used. All experiments were conducted in a batch system at room temperature in a wooden box (Fig. 2). 50 mL of a DR16 solution of known concentration and desired amount of photocatalyst was transformed to a crystallizer and the pH of the solution was adjusted using 1 N HCl and/or NaOH. The crystallizer was inserted in the wooden light box. To prevent penetration of UV light into the samples, a filter was used. At the desired reaction intervals, the solution was sampled, filtered and the DR16 concentration was measured by a UV-Vis spectrophotometer (λ_max = 493 nm).

 

 

Equation (2) was used to calculate of DR16 removal percentage (%R).

where, [C]₀ and [C]_t are the initial and at any time concentration of DR16 (mg L^-1), respectively.

2.4. Experiment Design

Central composite design (CCD) was adopted to develop a proper mathematical model. To evaluate the effect of the operational conditions on photocatalytic removal efficiency, the initial DR16 concentration, pH, time and catalyst dosage were selected as the four independent variables. After performing some preliminary experiments, the five variable levels were chosen (Table 1).

 

 

3. Results and Discussion

3.1. Characterization of Ag NPs/Ag₃VO₄/AgVO₃/GO

Crystallized structures of graphene oxide (20 = 11.83 °), Ag cubic phase (20 = 31.35 °), mono-clinic /3-AgVO3 phase (20 = 33.97°and 20 = 29.91 °) and y -Ag3VO4 Cubic phase (20 = 38.14 ° and 20 = 46.88 °) is shown in XRD pattern (Fig. 3a). As demonstrated in Fig. 3a, the mono-clinic/3-AgVO3 phase (20 = 33.97 ° and 20 = 29.91 °) is the predominant phase in the synthesized nanocomposite. FESEM image (Fig. 3b) shows the morphology of the synthesized photocatalyst. TEM image of nanocomposite shows that Ag nanoparticles are distributed (darker areas) on the leaf-shaped surfaces of GO (Fig. 3c). EDS results (Fig. 3d) confirmed the presence of silver (22.4 %), vanadium (2.6 %), carbon (50.5 %) and oxygen (24.5 %) in the structure of photocatalyst. Dot mapping image (Fig. 3e) of the nanocomposite also confirms the presence of Ag, O, C and V elements.

3.2. Photocatalytic Degradation using RSM

The experiments were performed by considering the various operational conditions that were suggested by the Design Expert software (DOE 7.0). The experimental (Exp) and predicted (Pre) results of DR16 removal through a 30-run experiment are listed in Table 2.

 

 

According to the results of Table 2, the empirical relationship between the response (R) and the independent variables (initial DR16 concentration, catalyst dosage, pH and time) in photo-catalytic degradation of DR16 follows Equation (3):

where, R is the DR16 removal % in photocatalytic process. Analysis of variance (ANOVA) is one of the most commonly used tools for interpretation of statistical results. Regression analysis was carried out to obtain a second-order polynomial model for prediction of removal efficiency and the obtained data were processed according to the resultant model. Accuracy and validity of the proposed model was assessed by the Design Expert software through ANOVA and regression coefficient (R²) analysis. The ANOVA results is presented in Table 3. Variables are considered asa significant parameter with P < 0.05 and large F-value.³¹ Based on the results, very low P-values (P < 0.0001) and large F-value (138.46) indicates that the model is highly significant and is well-fitted to the experimental results. Lack of fit (comparison of residual and pure errors) is obtained at about 0.0597 and so is not significant. The R² = 0.9923 value confirms the adaptability of the obtained model. As shown in Table 3, dosage, dye concentration, pH, time are highly significant parameters. AD, BC and BD are more significant than AB, AC and CD (two factor interaction). B² and C² are more significance than A² and D² (quadratic interaction).

 

 

To evaluate the interactions between the four operational parameters and response, 3D graphs were plotted (Fig. 4). Figure 4a illustrates the interactions between dye concentration and pH at constant dosage = 0.15 g 50 mL^-1 and time = 120 min. As shown, the photocatalytic removal was increased by raising the initial DR16 concentration. It might be attributed to the fact that increasing the DR16 concentration provides a driving force to overcome the resistance against pollutant transport from the solution phase to the surface of the solid.³² Also, increasing the pH reduces the efficiency of the DR16 removal. Since DR16 is an anionic dye, the electrostatic repulsion between this molecule and the negatively charged surface of the composite reduces adsorption of the dye on the surface of the nanocomposite at pH > 8.4 (pH_zpc= 8.4).

Figure 4b displays the effect of catalyst dosage and time on the efficiency of DR16 removal at constant dye concentration of 30 mg L^-1 and pH = 6. As shown, the dye removal was enhanced by incrementing the catalyst dosage. This effect originates from increasing the activated surface and generation of OH and other oxidative radicals.³³ In fact, increasing of catalyst dosage leads to the adsorption of more photons and, consequently, degradation of a greater number of DR16 molecules occurs.^34-35 By considering the effect of time, it can be seen that the change of time had no significant effect on DR16 removal efficiency.

3.3. Optimal Conditions

The optimized conditions for removal of DR16 were obtained from the response surface methodology and is presented as:

DR16 = 32mgL^-1;pH = 4.5;Adsorbent = 0.2mg50mL^-1;Time = 155 min; Vis. Light = 300 W. Under these conditions, the predicted and experimental removal of DR16 was 61.54 and 58.98 %, respectively.

 

4. Conclusion

In this study, Ag NPs/Ag₃VO₄/AgVO₃/GO composite was studied using visible light to photocatalytic remove DR16 from aqueous solutions. Design Expert software was performed to decrease the number of required experiments, saving time and operational cost. According to the obtained results, the most efficient removal of DR16 occurs under acidic solutions. Also, the results indicated that increasing the catalyst dosage and dye concentration improves photocatalytic removal of the dye. Evaluation of the mutual effects of the variables demonstrated that the interaction of the initial DR16 concentration-pH has the most significant effect on the DR16 removal process.

ORCID iD

P.Gharbani: orcid.org/0000-0001-9812-3997

 

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Received 3 June 2019
Revised 6 August 2019
Accepted 20 August 2019

 

 

* To whom correspondence should be addressed. E-mail: parvingharbani@yahoo.com / p-gharabani@iau-ahar.ac.ir