Abstract

The adsorption properties of rice wine lees for acid red 73 in aqueous solution were studied in order to explore the recyclability of rice wine lees and to solve the pollution of dye-contaminated wastewater. Hence, the azo dye acid red 73 was selected as the model pollutant. Effects of parameters including pH, rice wine lees dosage, and initial concentration of acid red 73 on the adsorption activity were investigated to determine the optimal conditions for removal of acid red 73. The experimental results showed that acid red 73 removal by rice wine lees decreased with increasing pH and initial concentration of acid red 73 and increased with increasing rice wine lees dosage. The adsorption reaction was consistent with pseudo-first-order kinetic models, and the adsorption process was physisorption. The adsorption isotherm could be described well with the Freundlich equation, and the maximum adsorption capacity was 18.74 mg·g−1.

1. Introduction

At present, water pollution control is one of the main pollution controls. With the continuous development of light industry, dye wastewater has gradually become one of the important components of sewage. Dyes are widely used in textile, leather, cosmetics, paper, printing, plastics, medicine, food, and other industries, for coloring its products. Currently, more than 9000 kinds of dyes are included in the color index of various chemical application categories [1]. Dyes are usually more difficult to remove than soluble colorless organics. The synthetic sources are mainly complex aromatic molecular structures. The structure of this structure is often designed to prevent fading due to exposure to sweat, soap, water, light, or oxidants, making dye molecules more stable and less prone to degradation [2]. It is well known that many dyes are made from known carcinogens, and the color in the dye is a major component of biochemical oxygen demand (BOD) [3]. Acid red 73 (AR 73) is a very common azo dye, and its toxicity is greater than that of other dyes, such as acid red 88, acid red 18, acid orange 7, and acid red 10 [4]. Residues in water can affect the health of organisms and humans. Long-term accumulation in the human body can cause bladder cancer or spleen tumors [5]. Therefore, it must be decolorized when discharging into rivers.

Generally, methods for treating dyes mainly include physical, chemical, and biological treatment methods. Among them, adsorption [6], coagulation [7], ultrafiltration [8], electrochemical [9], photocatalytic oxidation [10], and biodegradation method [11] are widely used. At the same time, the combination of coagulation, electrochemical oxidation, activated sludge, and other methods has also been proved to be feasible [12]. Among these methods, adsorption is considered to be a relatively effective method for removing dyes and controlling BOD. Since activated carbon has a good effect on the removal of dyes, it is currently the most commonly used dye removal adsorbent. However, the cost of activated carbon is high and regeneration is difficult, thus limiting the use to some extent. In view of the current status of adsorbents, it is still quite necessary to find cheap adsorbents. Some researchers have successfully degraded some dye wastewater by using agricultural waste such as peanut shell [13], straw [14], rice husk [15], and orange peel [16]. And Bhatnagar et al. found that the carbonaceous adsorbent prepared by the fertilizer plant has a good potential for dye removal [17]. It can be seen that some agricultural waste or industrial waste plays a more or less role in the removal of dyes, so the utilization of waste is crucial. If these wastes can be used, it not only solves the problem of dye wastewater treatment, but also solves the disposal problem of these wastes.

Biomass waste is rich in source and low in price and has a wide application prospect in the treatment of dye wastewater [18, 19]. As one of the three brewed wines, the output of rice wine has increased year by year. In 2010, the output of the rice wine industry reached 1,341,400 m3. As a by-product of the production process of rice wine, the rice wine lees have a slag rate of 20–30%, and the quantity is considerable. At present, rice wine lees are mainly used directly as feed, and the utilization rate is low, resulting in a large amount of rice wine lees. In the long run, it will pollute the environment. Since the main component of the rice wine lees is cellulose, its surface contains reactive groups such as hydroxyl groups and carboxyl groups [20]. So it is a renewable resource with great development potential. And Peng et al. successfully adsorbed reactive brilliant red and methylene blue by using rice wine lees [21]. Besides this, Xiaolian et al. used white distiller’s grains to adsorb Congo red and malachite green [22]. It can be seen that the rice wine lees may be a good adsorbent.

In this study, rice wine lees were used as the adsorbent, and the acid red 73 dye wastewater was used as the model pollutant. The comprehensive effects of the pH of the solution, the dosage of the adsorbent, and the initial concentration of the dye on the adsorption of acid red 73 by rice wine lees were investigated. Adsorption isotherms and adsorption kinetics were fitted by experiment data to explore the adsorption mechanism.

2. Materials and Methods

2.1. Materials

Acid Red 73 purchased from Shandong Longsheng Chemical Co. Ltd (Shandong, China) was of analytical grade. The molecular structures were shown below. Other chemicals used in this study were obtained from Shanghai Qiangshun Chemical Reagent Company (Shanghai, China).

The rice wine lees were obtained from a Huangjiu factory in Shaoxing, and they were washed repeatedly with distilled water, after the rinsing, the rice wine lees were filtered and dried in an oven, and they were crushed and used for standby after being completely dried. The original rice wine lees were characterized by SEM, and Figure 1 shows the morphology images of the rice wine lees, and it had a complex net structure with pores, channels, and fibrous form which might be easy for adsorption.

2.2. Adsorption Experiments

Firstly, 0.500 g acid red 73 was accurately obtained and dissolved in a 500 mL volumetric flask with distilled water to configure a standard mother liquor with a concentration of 1 g·L−1 and diluted to the corresponding concentration according to the proportion used during the experiment. A certain amount of adsorbent was weighed into 500 mL of a certain concentration of acid red 73 containing solution, and pH was adjusted to the specified value, and then the solution was placed in a constant temperature shaking water bath and stirred with a stirrer rotating at 380 r/min. The sample was filtrated through a 0.45 μm membrane at a specific time, and then the concentration of residual acid red 73 in the solution was measured by a UV-visible spectrophotometer at a wavelength of 509 nm.

2.3. Analytical Methods

A standard curve of absorbance-acid red 73 concentration was plotted based on the measured absorbance of acid red 73, and the equation was obtained as follows: y = 0.0219x − 0.0067, R2 = 0.9991. Due to the high corresponding correlation coefficients (R2) of 0.9991, there was a good linear relationship between absorbance and concentration, which indicated that the equilibrium concentration of acid red 73 was more accurate. And then the amount of adsorption could be calculated by the following equation:where qe is the equilibrium concentration of acid red 73 (mg·g−1); C0 and Ce are the initial and equilibrium concentrations of acid red 73 (mg·L−1), respectively. V is the volume of MG solution (L) and W is the weight of used rice wine lees (g).

3. Results and Discussion

3.1. Effect of Contact Time on Adsorption of Acid Red 73 by Rice Wine Lees

The effect of contact time on the adsorption of acid red 73 by rice wine lees was explored in the experiment, as shown in Figure 2. The initial concentration of the acid red 73 solution was 10 mg·L−1, the pH of the solution was adjusted to 5, the temperature was 298 K, and the rice wine lees dosage was 10 g·L−1. From the figure, it could be concluded that during the 0–120 min period, the adsorption amount increased rapidly. Within 120–180 min, the adsorption amount increased slowly. After that, the adsorption gradually became equilibrium, which may be due to the gradual saturation of the surface active sites of the adsorbents with the increase of reaction time. Therefore, the adsorption equilibrium time was 180 min.

3.2. Effect of Initial pH on Adsorption of Acid Red 73 by Rice Wine Lees

The effect of initial pH on the removal rate of acid red 73 by rice wine lees with the same reaction conditions as above is shown in Figure 3. As the pH value increased, the acid red 73 removal rate decreased. When the pH was 3.00, the removal rate of acid red 73 was 96.51% after 20 minutes of reaction. As the pH reached 5.00, 7.00, and 9.00, the removal rate of acid red 73 decreased to 90.81%, 84.50%, and 81.66% after 180 min of reaction, respectively. It could be seen that the pH of the solution has a certain influence on the adsorption of acid red 73 by rice wine lees, and lower pH was beneficial to the adsorption of acid red 73. Kyzas et al. [23] also found a similar phenomenon in the experiment of removing dyes from untreated coffee grounds. This is due to the fact that, in strong acid environment, the positively charged rice wine lees were easy to adsorb the negatively charged acid red 73 molecules. As the pH increased, the hydroxide in the solution increased and competed with dye molecules for the adsorption sites of the rice wine lees, resulting in the decrease of adsorption efficiency [21].

3.3. Effect of Rice Wine Lees Dosage on Acid Red 73 Adsorption

In the case of the initial dye concentration of 10 mg·L−1 and the solution pH of 5, four different rice wine lees dosages were selected to study the removal effect of dosage on acid red 73. And the results are shown in Figure 4. The removal efficiency of acid red 73 increased as the amount of rice wine lees increases. When the dosage of rice wine lees was 10 g·L−1 and 13 g·L−1, the removal rate of acid red 73 was 80.6% and 88.99% at 180 min, respectively. As the amount of adsorbent added increased to 16 g·L−1 and 18 g·L−1, the removal rate of acid red 73 increased to 93.9% and 94.47%. It could be seen that increasing the dosage of rice wine lees could increase the removal efficiency of acid red 73. This is because the adsorption of dyes occurs on the surface of adsorbent, and more rice wine lees provide more surface sites, thus accelerating the adsorption reaction.

3.4. Effect of Different Initial Concentrations on Adsorption of Acid Red 73 by Rice Wine Lees

In the same condition of pH value and the dosage of the adsorbent (pH = 5 and 10 g·L−1), the adsorption of acid red 73 by rice wine lees at initial concentrations of 10, 20, 40, 60, and 80 mg·L−1 was examined and the results are shown in Figure 5. The removal efficiency of acid red 73 gradually decreased with the increase of the initial concentration of acid red 73. When the initial concentration of acid red 73 acid red was 10 mg·L−1, after 20 hours of reaction, the removal rate of acid red 73 was 98.71%. When the initial concentration of acid red 73 was increased to 20 mg·L−1, 40 mg·L−1, and 60 mg·L−1, the removal rate of acid red 73 was reduced to 98.53%, 98.36%, and 98.25%. As the initial concentration of acid red 73 was increased to 80 mg·L−1, the removal rate of acid red 73 was only 98.10%. The phenomenon that the concentration of acid red 73 increases and the removal rate decreases was mainly due to the fact that the adsorption sites of the adsorbent were gradually occupied [24].

3.5. Adsorption Isotherms

The adsorption isotherm refers to the relationship between the concentrations of the solute molecules at the two-phase interface when the adsorption process at the two-phase interface reaches equilibrium. The concentration relationship of the separated substance in the liquid phase and the solid phase at a certain temperature can be expressed by an adsorption equation. And the relationship between the adsorbent and the adsorbate can be inferred from the graph. In order to understand the adsorption effect of this adsorbent and the maximum adsorption amount, it is necessary to establish a balance curve and select the most suitable curve. Before establishing the isotherm, we first need to determine the time to reach the adsorption equilibrium. The experimental results showed that the adsorption of acid red 73 on the rice wine lees was completed within 180 minutes. Therefore, a contact time of 180 min was selected for all adsorption isotherms.

Langmuir equation is one of the commonly used adsorption isotherm equations, which assumes that the surface properties of the adsorbents are uniform and the adsorption behavior is monolayer adsorption on the solid surface. When the adsorption reaches equilibrium, the adsorption rate is equal to the desorption rate. Langmuir adsorption isotherm can be expressed by the following equation:where qe is the adsorption capacity of acid red 73 at equilibrium (mg·L−1), Ce is the dye concentration at equilibrium (mg·L−1), qm is the saturated adsorption capacity (mg·L−1), and kL is the equilibrium constant of Langmuir adsorption isotherm.

Freundlich isotherm equation describes the actual adsorption, which is an empirical formula, which is considered to be reversible and is not strictly the adsorption of the monomolecular layer. And Freundlich isotherm is represented by the following equation:where qe is the adsorption amount of the dye in equilibrium (mg·g−1), Ce is the concentration of dye at equilibrium (mg·L−1), and KF is the Freundlich constant.

Temkin considers the effects of some indirect adsorbate/sorbent interactions and indicates that, due to these interactions, the heat of adsorption of all molecules in the layer decreases linearly with coverage. And Temkin isotherms can be represented by the following equation:where qe is the amount of solute adsorbed per unit weight of adsorbent (mg·g−1) and Ce is the equilibrium concentration of acid red 73. And R, A, T, and b are Temkin constants.

The linear regression method was used to fit the experimental data through three adsorption isotherms. The linear correlation coefficient and the model constants are shown in Table 1.

As shown in Table 1, R2 of the Freundlich model and R2 of the Langmuir model were extremely high and obviously larger than R2 of the Temkin model; therefore, both Freundlich and Langmuir could explain the adsorption behavior of acid red 73 on rice wine lees. Compared with the R2 of the Freundlich model, it was larger than that of the Langmuir model; therefore Freundlich adsorption isotherm was more suitable for describing the adsorption of dye on rice wine lees. 1/n also showed that acid red 73 was favorable for adsorption on rice wine lees. The isotherm diagram of acid red 73 adsorbed on rice wine lees is shown in Figure 6. The Freundlich equation obtained by fitting was y = 0.8414x + 2.426 (R2 = 0.9998), and the maximum adsorption capacity of the rice wine lees was 18.74 mg·g−1 calculated by the Langmuir model. In addition, we compared the adsorption capacity of other materials to acid red 73 and found that rice wine lees have a good removal effect. The specific information is shown in Table 2.

3.6. Adsorption Kinetics

In order to investigate the adsorption process of acid red 73 on rice wine lees, the pseudo-first-order model, the pseudo-second-order kinetic model, and the intraparticle diffusion model were used, which were represented by the following equations, respectively:where qe and qt (mg·g−1) are the amounts of AR 73 at equilibrium and at any time t. And k1 and k2 are the rate constants of pseudo-first-order and pseudo-second-order adsorption. kid is the rate constant of the intraparticle diffusion model and C is truncation. The kinetic parameters were obtained by linear regression method. And the results are shown in Table 3 and Figure 7, respectively. It was found that the correlation coefficient of the pseudo-first-order model was higher than that of the pseudo-second-order model and the intraparticle diffusion model, indicating that the pseudo-first-order kinetic model would better describe the adsorption process of acid red 73 on rice wine lees. This illustrated that the process was physical adsorption. The reaction rate of the adsorption of acid red 73 by rice wine lees was linear with the concentration of acid red 73. And the adsorption process involved transporting the adsorbate from a large amount of solution to the inner surface of the pore [30]. It was possible to control the transport of the dye from the solution into the pores of the adsorbent by rapid agitation in a batch experiment [15]. In addition, according to the pseudo-first-order kinetic fitting results, the calculated values of the adsorption capacity calculated from the slope and the intercept in the linear graph were 0.916, 1.015, 1.027, and 1.043 mg·g−1, respectively, which was similar to the qe obtained from the experiment in Table 3.

4. Conclusion

In this study, the model pollutants of azo dye acid red 73 were used to investigate the effects of pH, initial concentration of acid red 73, and dosage of rice wine lees on adsorption performance. The experimental results showed that the effect of solution pH on adsorption performance was significant, and the adsorption performance increased with the decrease of pH and decreased with the increase of initial concentration of dye. At the same time, the greater the amount of rice wine lees added, the more obvious the removal effect. By fitting the data, it was found that the adsorption reaction of rice wine lees to acid red 73 was consistent with the Freundlich isotherm adsorption model. The maximum adsorption capacity was 18.74 mg·g−1. The adsorption process accorded with pseudo-first-order model kinetics, and the adsorption process was physisorption.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Acknowledgments

The authors gratefully acknowledge the financial support of the National Natural Science Foundation of China (Grant no. 41807468), Zhejiang Provincial Natural Science Foundation of China (Grant no. LY18E080018), Shaoxing Public Welfare Project (Grant no. 2017B70042), National Innovation and Entrepreneurship Training Program for College Students (Grant no. 201810349008), Zhejiang University Students’ Science and Technology Innovation Program (Young Talents Program) (Grant no. 2018R432004), and State Key Laboratory of Pollution Control and Resource Reuse Foundation (Grant no. PCRRF18021).