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International Journal of Photoenergy
Volume 2012 (2012), Article ID 909678, 8 pages
http://dx.doi.org/10.1155/2012/909678
Research Article

Preparation, Photocatalytic Activity, and Recovery of Magnetic Photocatalyst for Decomposition of Benzoic Acid

1Department of Cosmetic Application and Management, St. Mary's Medicine, Nursing and Management College, Yilan 266, Taiwan
2Department of Environmental Engineering, National I-Lan University, I-lan 26047, Taiwan

Received 15 May 2011; Revised 2 August 2011; Accepted 17 August 2011

Academic Editor: Jiaguo Yu

Copyright © 2012 Te-Li Su et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The purpose of this paper is to determine the experimental parameters of TiO2 preparation for optimizing the removal rate of benzoic acid by magnetic photocatalytic oxidation process. Therefore, this paper intended to prepare a magnetic photocatalyst (TiO2/SiO2/Fe3O4) that can be recycled using an external magnetic field. Magnetic photocatalysts are characterized by X-ray diffraction (XRD), vibrating sample magnetometry (VSM), and Fourier transform infrared (FTIR) spectroscopy. The optimal the experimental parameters of TiO2 preparation for the removal rate of photocatalysts were concluded as pH is 3, weight ratio of TiO2/SiO2(Fe3O4) is 1, and calcined temperature of TiO2/SiO2/Fe3O4 is 350C. Furthermore, the paramagnetic behaviors of the prepared TiO2/SiO2/Fe3O4 gave rise to the magnetic photocatalyst, which could be separated more easily through the application of a magnetic field for reuse.

1. Introduction

Benzoic acid is one of the oldest chemical preservatives used in food, cosmetics, and drugs. Benzoic acid can also be detected in car exhaust gases, cigarettes, phytochemically degraded benzoic acid esters in fragrance ingredients, wastewater from wood production industries, foundry waste leachates, and ashes from municipal incinerators [1]. A common objective of AOPs [25] is to produce a large amount of radicals (especially OH), in order to oxidize organic matter. Semiconductor photocatalysis has become an increasingly promising technology in environmental remediation [68]. Various types of photocatalysts, titanium dioxide is now under intensive investigation for practical application in antimicrobial, deodorization, air and water purifications, and wastewater treatment due to its favorable physical/chemical properties, low cost, ease of availability, and high stability [9]. Typically, catalytic ozonation and photocatalytic oxidation are conducted in a suspension of submicrometer-sized particles [3, 4, 10] and, therefore, requires an additional separation step to remove the catalyst from treated water, which presents a major drawback in the application of UV/TiO2 processing for treating wastewater. One approach in overcoming this drawback has been the development of a magnetic photocatalyst that allows for easy catalyst removal by using an external magnet, simplifying the downstream recovery stage [11, 12]. Fe3O4 has been generally used as a very important ferromagnetic material for wide application (pigment, recording materials, catalysis, magnetocaloric refrigeration, and drug-delivery carrier) due to its low cost, good hydrophilic and biocompatible properties. [4, 1214]. However, a direct contact between magnetic iron oxide and TiO2 photocatalyst usually gives rise to an unfavorable heterojunction, leading to an increase in electron-hole recombination and photodissolution [15]. Therefore, it is necessary to shield the magnetic iron oxide from direct contacts with titania by introducing a barrier layer. Silica is one of most commonly used support material in catalysis due to the stability, protection of core (iron oxide) and surface modification [15, 16]. Thus, this study investigates the reaction behavior of photocatalytic processes with magnetic photocatalyst (Fe3O4 core and TiO2/SiO2 shell) in treating wastewater to enhance the activity of the prepared magnetic photocatalyst and recover the photocatalyst.

There have been many parameters, such as pH, weight ratio, and calcined temperature, related to the Taguchi method [17, 18] to removal rates. Efficiently determining the critical factors can improve the efficiency of the photocatalysts. The traditional trial-and-error method lacks proper overall planning of experimental parameters, thus, while it could acquire the most comprehensive experimental data, discussion and analysis of the correlation between experimental parameters was lacking. An experiment that tests all parameters takes an excessive amount of time and the photocatalysts conditions are difficult to control. This research has, therefore, applied the Taguchi method [1922] to the removal rate of benzoic acid by a UV/magnetic photocatalyst process and the design of a series of experimental principles. The most influential parameters for removal rate of benzoic acid by UV/magnetic photocatalyst process were selected and matched with a customized experimental plan, in order that the experimental parameters of the photocatalysts could be analyzed, which was used to optimize the experimental parameters and improve the removal rate.

Therefore, in this paper, the Taguchi method was applied to determine the parameters for the optimal removal rate of benzoic acid by the UV/magnetic photocatalyst process. However, there are many experimental parameters and the process is complicated, the selection relies completely on experienced researchers, or by the trial and error method, in order to change the experimental parameters of the photocatalyst/UV process through multiple error attempts. This method is not only time consuming, increasing the trial time, but also simultaneously results in greater cost and difficulty in accumulating and passing on such experience.

2. Material and Methods

2.1. Experimental Apparatus

All experimental solutions were prepared with deionized water and reagent-grade chemicals. The photocatalytic activates under UV light illumination were evaluated by measuring the decomposition rate of benzoic acid. The batch cylindrical photoreactor was made of Pyrex glass with an effective volume of 1.5 liter and was water-jacketed to maintain the solution temperature, as illustrated in Figure 1. The UV light illumination was conducted using two black lamps (Sparkie BLB-S8W) of 8 W power with the maximum intensity at 365 nm. Photocatalytic decomposition of benzoic acid was assumed to be started when the prewarmed light source within the reactor was turned on. The aqueous solution containing benzoic acid was initially transferred to the column reactor, and the pH value of the solution was controlled by adding sodium hydroxide and/or perchlorates during the entire reaction time. Perchlorates and nitrates had very little effect of photocatalytic reaction, and sulfates or phosphates, even at millimolar concentrations, were found to be rapidly adsorbed by the catalyst and to reduce the rate of photocatalytic reaction by 20–70% [23]. Aliquots of the reaction solution were sampled at intermittent periods of reaction time. The samples were analyzed for concentrations of benzoic acid with a liquid chromatography equipped with a KANUER Smartline UV detector 2500, Alpha 10 Isocratic Pump, and SUPELCO 516 C-18 column.

909678.fig.001
Figure 1: Experimental sketch of UV/TiO2/SiO2/Fe3O4 system.
2.2. Catalyst Preparation

Magnetite (Fe3O4) was purchased from Sigma-Aldrich (St. Louis, Mo, USA) and used without any further purification. A total of 1.08 L of aqueous solution containing 20 g of Fe3O4 particles was contained in a 2-L beaker at 90°C; the pH was maintained at 9.5 with 0.1 N NaOH, while being stirred by a mechanical stirrer. The appropriate amount of Degussa P-25 TiO2 particles and Na2O·nSiO2 was dispersed and dissolved, respectively, in 100 mL of deionized water; the aqueous solution was then mixed with the aqueous solution containing magnetite (Fe3O4) with a mechanical stirrer for 10 min The magnetic photocatalysts (i.e., TiO2/SiO2/Fe3O4) were dried at 105°C after the pH value of the slurry solution was maintained at 8 with 5 N H2SO4 Finally, the TiO2/SiO2/Fe3O4 was placed in an oven isothermally at 350°C, 550°C, and 750°C for 2 hours with nitrogen-pass, respectively.

2.3. Instrumental Analysis

The morphology and specific BET surface area of the TiO2 were determined by a Rigaku RTP 300 X-ray diffractometer (XRD) and a Micromeritics ASAP 2000 analyzer, respectively. The functional groups of the synthesized magnetic photocatalysts (TiO2/SiO2/Fe3O4) were confirmed using an FTIR spectrometer (Spectrum 100, Perkin Elmer, USA). The magnetic behavior was analyzed using a vibrating sample magnetometer (VSM, Lake Shore 7407, Lake Shore, USA). The magnetic properties and functional groups of the photocatalysts were determined by a vibrating sample magnetometer (Lake Shore, 7407) and a Fourier Transform Infrared Spectrophotometer (Perkin Elmer, 1600), respectively. For experiments related to the photodecomposition of benzoic acid, the degradation of benzoic acid present in the reaction solution was analyzed by Spectra-Physics P1000 HPLC equipped with an UV detector.

2.4. Taguchi Method

Determining key factors is helpful for promoting experimental efficiency, and the traditional trial-and-error method lacked overall planning, which although it could provide large amounts of data, these were the least discussed and analyzed. In addition, such experiments are time consuming and waste production costs. Moreover, control of experimental conditions was not simple. In order to obtain higher photocatalytic performance of photocatalysts, the Taguchi method was adopted for experimental design. For this purpose, critical conditions were selected and applied in the experimental planning in order to determine the optimal experimental parameters promoting a photocatalytic performance of the photocatalysts.

By orthogonal array, useful statistical data and reliable effects of factors can be obtained in the least number of experiments. However, full factorial experiments require too many experimental repetitions, while fractional factorial experimental method is too complex. L9, which represents the nine experiments to be conducted, was selected in this research.

The basic purpose of parameter design is to determine a group of optimal experimental parameters. By the Taguchi method, quality characteristics and removal rate were transformed into an SN ratio, which is useful in the estimation of statistical efficiency quantity. Photocatalysts, able to yield higher removal rates, meet the requirements of this study. Therefore, it is the best to have large quality characteristics. The SN ratio of the larger-the-better is defined as where represents value of quality; represents the total number of experiments.

Experiments for experimental planning design, according to an orthogonal array, can create the data required for the orthogonal array. Then, a response table can be established by transformation of the data from the orthogonal array experiments into SN ratios. The method selected for the transformation depends on the quality requested. Each average response, of , can be calculated. Then, the value of main effect, of each , is calculated. A response table comprised of these data can be applied to analyze the effects of each factor. A larger indicates a larger effect on quality characteristics; inversely, a less indicates a lesser effect on quality characteristics. The calculation is as follows: where represents level of factor; represents the total number of level ; represents SN ratio of level .

Confirmation experiments are to verify the reasonability of the constructed mathematical mode. Applying additional modes, using the level values of optimal factors, can predict the SN ratios under optimal conditions. The calculation is as follows: where represents average of all SN ratios; represents SN ratio of experimental parameters.

To evaluate each observed value, its confidence interval must be calculated. The formula for calculating the confidence interval of the average of the expected values from confirmation experiments is as follows: where represents value of the apparent level ; represents apparent level with confidence level 1-α; represents freedom of the error; MSE represents variance of error; represents the effective observed value; represents the number of confirmation experiments, .

Finally, a CI of 95% is used to verify whether the predicted average value is acceptable or not, the verification equation is:

3. Results and Discussion

3.1. Surface Characteristics of Magnetic Photocatalyst

The FTIR spectra of Fe3O4, SiO2/Fe3O4, and the prepared magnetic photocatalyst (TiO2/SiO2/Fe3O4) are as shown in Figure 2. The result exhibits two basic characteristic peaks of Fe3O4, SiO2/Fe3O4, and TiO2/SiO2/Fe3O4 at about 3300 cm−1 (O–H stretching) and 550 cm−1 (Fe–O vibration), which were attributed to the presence of FeOH in Fe3O4 [24]. The peak at 1100 cm−1 was attributed to the Si–O–Si bond stretching of SiO2/Fe3O4 and TiO2/SiO2/Fe3O4. This result confirms that SiO2 was successfully coated on Fe3O4. Figures 3(a) and 3(b) showed the SEM micrographs of the Fe2O3/SiO2 and Fe2O3/SiO2/TiO2. SEM micrographs indicate that the particles on the coatings aggregated without significant difference.

909678.fig.002
Figure 2: FTIR spectra of Fe3O4, SiO2/Fe3O4, and TiO2/SiO2/Fe3O4.
fig3
Figure 3: SEM images of (a) Fe2O3/SiO2 and (b) Fe2O3/SiO2/TiO2.

The magnetic properties of the SiO2/Fe3O4 and Fe3O4 cores were measured with a vibrating sample magnetometer (VSM), as shown in Figure 4. The M-H plots showed the change in Ms of the particles after the incorporation of SiO2 and TiO2 shell. A decrease in Ms from 61.8 to 28.0 emu g−1 was observed in SiO2/Fe3O4. The decreased mass saturation magnetization was ascribed to the contribution of the nonmagnetic SiO2 and TiO2 shell to the total mass of particles. This observation is similar to those in reports where the attached gold shell was found to lower the saturation magnetization of magnetite particles [25]. The results indicated that the prepared samples exhibited paramagnetic behaviors at room temperature [11]. The paramagnetic behaviors of the prepared TiO2/SiO2/Fe3O4 gave rise to the magnetic photocatalyst TiO2/SiO2/Fe3O4, which could be separated more easily through the application of a magnetic field.

909678.fig.004
Figure 4: Magnetization versus applied magnetic field.

According to the database of the Joint Committee on Powder Diffraction Standards (JCPDS), the XRD pattern of a standard Fe3O4 crystal with a spinel structure has six characteristic peaks at 2θ = 30.1°, 35.5°, 43.1°, 53.4°, 57.0°, and 62.6°, which are attributed to the (2 2 0), (3 1 1), (4 0 0), (4 2 2), (5 1 1), and (4 4 0) phases of Fe3O4, respectively, as shown in Figure 5. Based on the XRD spectra, the crystalline phases could be categorized into two primary components, an anatase (A) and a rutile (R) phase, and represented the intensity of the strongest anatase reflection of (101) plane at 2θ = 25.3° ± 0.1°, anatase reflection of (200) plane at 2θ = 48.0° ± 0.1°, and the intensity of the strongest rutile reflection of (110) plane at 2θ = 27.4° ± 0.1°. Additionally, the anatase phase of TiO2 crystal is a tetragonal system in lattice geometry. The analysis results of the starting material Fe3O4, and TiO2/SiO2/Fe3O4 fitted the pattern exhibited by standard magnetite. Therefore, it can be concluded that the magnetite, modified with SiO2, also has a spinel structure, and that the modification does not cause a phase change in Fe3O4.

909678.fig.005
Figure 5: XRD spectra of the photocatalyst coatings.
3.2. Photocatalytic Decomposition of Benzoic Acid

The photoactivity of TiO2/SiO2/Fe3O4 was sensitively influenced by the temperatures of calcination, as shown in Table 1. The reaction rate constant of benzoic acid under UV light irradiation was decreased with the increased calcination temperature. The reasons described that the surface area of SiO2/TiO2/Fe3O4 decreased as the calcinations temperature raised from 350 to 750°C, in particular, the sample calcined at 750°C were almost completely inactive.

tab1
Table 1: Effect of calcinations temperature on reaction rate constant and surface area.

When the calcination temperature is over 700°C, the photocatalytic activity of thin films decreases, which is due to the formation of rutile and the sintering and growth of TiO2 crystallites resulting in the decrease of surface area [26]. Furthermore, the paramagnetic behaviors of the magnetic photocatalyst TiO2/SiO2/Fe3O4, could be separated more easily by the application of a magnetic field. More than 90% of the magnetic photocatalyst with various temperatures of calcination was recovered and easily redispersed in aqueous solution for reuse.

The pH of the aqueous solution is one of the important environmental parameters significantly influencing the physicochemical properties of semiconductors, including the charge on the TiO2 particle, the aggregation numbers of particles, and the positions of the conductance and valence bands [23]. The degradation of benzoic acid increased as pH value increased from 3 to 10. No adsorption was recorded at pH >6 as both catalyst and the substrate are negatively charged, since benzoic acid adsorption onto catalyst is not favored at neutral or alkaline conditions [27]. From experimental results [28], 0.1 mM of o-methylbenzoic acid could be completely decomposed in 2 h. The reaction was faster with lowering pH and was found to be apparent first-order following Langmuir-Hinshelwood model. Chen et al. [29] also obtained similar results, the reaction rate increased from acidic to a weak alkaline solution with TiO2 photocatalyst. The surface of TiO2 is negatively charged in solutions with pH greater than 6, because the point of zero charge of TiO2 was determined to be about 6.0. The disassociated benzoic acid species also presented negative charge in solutions with pH greater than 4.2. Therefore, there is repulsion between a TiO2 surface and benzoic acid.

3.3. Taguchi Experimental Plan

Before experiments were conducted, control factors and their levels must be first decided. Therefore, pH, weight ratio of TiO2/SiO2(Fe3O4), and calcined temperatures of TiO2/SiO2/Fe3O4 were selected as control factors, and removal rate was chosen as the quality characteristic. Control factors and their levels are as shown in Table 2, in which the levels of the pH are set to a sliding level to reduce interactions; which are shown in Table 3. Because a higher removal rate is better, SN ratio was selected, as shown in (1).

tab2
Table 2: Factors and their levels for the experiments.
tab3
Table 3: pH levels.

According to Table 2, the selected control factors and their levels were applied in the L9 orthogonal array. Nine groups of experiments were conducted according to the L9 orthogonal array. Each group of experiments was repeated three times, and the removal rate of each group was recorded, with twenty-seven data collected. These data were calculated according to (1) to yield SN ratios. The results are shown, as in Table 4. Next, SN ratios were computed according to (2) to yield the main effect of each control factor. A response table was drawn out, as indicated by Table 5. The optimal conditions determined were A1, B1, and C1; namely, pH is 3, weight ratio of TiO2/SiO2(Fe3O4) is 1, and calcined temperature of TiO2/SiO2/Fe3O4 is 350°C. In addition, the effect of each parameter on the removal rate under different levels was therefore known. Factor C, calcined temperatures of TiO2/SiO2/Fe3O4, gave the greatest effect, and A, pH, provided the second greatest effect.

tab4
Table 4: The L9 experimental layout and experimental results.
tab5
Table 5: Average effect response for SN ratios.

The surface area-decreased effect was similar to the conclusion of photocatalytic mineralization of phenol on TiO2 P25, as reported by [30]. They suggested that the amount of the surface-adsorbed water and hydroxyl groups, which was oxidized to a hydroxyl radical (), was decreased via thermal treatment. Due to the charge on the TiO2 particle, the aggregation numbers of particles and disassociated species of contamination, and the optimal pH value of the aqueous solution were determined during the of photocatalytic oxidation of contamination [29].

To further understand the effect of each factor on the removal rates of photocatalysts, the removal rates were analyzed by analysis of variance (ANOVA) [31], which was designed to determine the error of the variance in order to know what extent the effect of each factor has on photocatalysts. The result obtained would be useful in the evaluation of experimental errors, as shown in Table 5.

A larger F-ratio indicates that there is a larger factor effect. F-ratio is often larger than 2, indicating that there is a not small factor effect. An F-ratio larger than 4 indicates that there is a very large factor effect. From Table 6, the result shown in the analysis of variance indicates that removal rate is less affected by factor B. On the contrary, the F-ratios of factors C and A are larger than 4; therefore, they are significant factors.

tab6
Table 6: ANOVA of SN ratio for the removal rate of photocatalysts.

The SN ratio of the optimal experimental parameters are calculated from removal rates, 55.3% (−5.15 dB) obtained from (3), (4), and (5), was confirmed by three experiments. All SN ratios of removal rates fall in the 95% confidence interval, dB, which indicates that the experiment is reproducible and reliable.

Benzoic acid, present in an aqueous solution at pH 3, could be decomposed higher than 50% within approximately 120 min of the reaction time, as shown in Figure 6. The decomposition of benzoic acid by the UV/TiO2/SiO2/Fe3O4 process was higher than that of the UV/TiO2 (P25) process in this study. This could be explained by the addition of SiO2 into photocatalysts retarding the crystallization of anatase phase. The addition of a second metal oxide, such as SiO2, ZrO2, and Al2O3, was also found to be an effective route to improve the thermal stability and UV photocatalytic activity of TiO2 [32, 33]. Among them, SiO2–TiO2 materials were most widely investigated in the photocatalysis field, as they exhibited higher photocatalytic activity than pure TiO2. Moreover, this SiO2 layer inhibits the iron oxide core becoming a recombination center of electrons and holes. The transfer of photogenerated electrons and holes from TiO2 to Fe3O4 can be completely inhibited by introducing a wide bandgap SiO2 layer as an electronic barrier [15, 16]. Furthermore, silica is also a good adsorbent towards organic molecules. The enhanced adsorption for RhB on silica adsorbent layer significantly increases the local concentration of RhB near the porous titania photoactive layer relative to the bulk solution [34].

909678.fig.006
Figure 6: Degradation of benzoic acid by UV/magnetic photocatalyst process at solution temperature =20°C, the initial concentration of benzoic acid =10 mg L−1, TiO2/SiO2/Fe3O4 = 0.5 g L−1.

4. Conclusions

The optimal experimental parameters of TiO2 preparation for the removal rate of photocatalysts were concluded as pH is 3, weight ratio of TiO2/SiO2(Fe3O4) is 1, and calcined temperatures of TiO2/SiO2/Fe3O4 are 350°C. The SN ratios in a confidence interval of 95%, as provided in the confirmation experiments, indicate the selected significant factor are reasonable, the results are reproducible, and in particular, the experiments are reliable. In addition, the result of analysis of variance indicates calcined temperature of TiO2/SiO2/Fe3O4 is the most significant factor. The deviation contributed by Table 6 to error is less than 50%, which indicates that there were important factors in the experiments, rendering the results precise. This research provides a method suitable for optimizing other experimental parameters to promote experimental efficiency. Furthermore, the paramagnetic behaviors of the magnetic photocatalyst TiO2/SiO2/Fe3O4 could be separated more easily by the application of a magnetic field. More than 90% of the magnetic photocatalyst was recovered and easily redispersed in aqueous solution for reuse at various pH levels.

Acknowledgment

This research was supported by the National Science Council, Taiwan, under Grant no. NSC 99-2622-E-562-002-CC3.

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