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Article

Degradation of Anti-Inflammatory Drugs in Synthetic Wastewater by Solar Photocatalysis

by
Marwan Al-Jemeli
1,
Mahmoud Abbas Mahmoud
1,
Hasan Sh. Majdi
2,
Mohammad Fadhil Abid
3,
Hiba M. Abdullah
3 and
Adnan A. AbdulRazak
3,*
1
Department of Medical Instrumentation Engineering, Alhikma University College, Baghdad 10015, Iraq
2
Chemical Engineering and Oil Refinery Department, AlMustaqbal University College, Hilla 51001, Babylon, Iraq
3
Department of Chemical Engineering, University of Technology, Baghdad 10066, Iraq
*
Author to whom correspondence should be addressed.
Catalysts 2021, 11(11), 1330; https://doi.org/10.3390/catal11111330
Submission received: 7 October 2021 / Revised: 22 October 2021 / Accepted: 29 October 2021 / Published: 31 October 2021

Abstract

:
Due to the high number of anti-inflammatory drugs (AIMDs) used by the public health sector in Iraq and distributed all over the country and due to their toxicity, there is a need for an environmental-friendly technique to degrade any wasted (AIMD) present in aquatic ecosystem. The degradation of diclofenac sodium (DCF), ibuprofen (IBN), and mefenamic acid (MFA) in synthetic hospital wastewater were investigated utilizing locally-made Cu-coated TiO2 nanoparticles in a solar-irradiated reactor. Different key variables were studied for their effects on process efficiency, such as loadings of catalyst (C CU-TiO2 = 100–500 mg/L), AIMDs (100 µg/L), pH (4–9), and hydrogen peroxide (CH2O2 = 200–800 mg/L). The results revealed that degradation percentages of 96.5, 94.2, and 82.3%, were obtained for DCF, IBN, and MFA, respectively, using our Cu-coated TiO2 catalyst within 65 min at pH = 9, while other parameters were C CU-TiO2 = 300 mg/L, and CH2O2 = 400 mg/L. The experimental results revealed coupling photocatalysis with solar irradiation as a clean energy source could be utilized for the degradation of toxic pollutants in surface water.

1. Introduction

Diclofenac (DIC), ibuprofen (IBN), and mefenamic acid (MFA) are nonsteroidal anti-inflammatory and analgesic drugs [1]. The chemical structures of these drugs are shown in Figure 1. Large quantity of anti-inflammatory drugs (AIMDs) are utilized by the health sector in Iraq and dispensed all over Iraq. Moreover, there are no clear policies for management of pharmaceuticals in the environment [2]. Wastewater discharged from some Iraqi hospitals comprises components of drugs which will enter the aquatic ecosystem if they are not removed. Toxicological studies have revealed that exposure to AIMDs can stimulate adverse effects on living aquatic organisms, for instance fishes may suffer kidney harm and changes in their gills if exposed to diclofenac at a loading of >1 µg/L for approximately 21 days [3]. Mehinto et al. [4] and Daouk et al. [5] also reported a syndrome of changes of swimming efficacy followed by death in organisms because of exposure to AIMDs.
The various water treatment systems used in pharmaceutical removal are particularly technologies using carbon adsorption, advanced oxidation (AOP) processes that use ultraviolet radiation, electro-oxidation, and membrane filtration methods such as nano- filtration and reverse osmosis [6].
The advanced oxidation process (e.g., heterogeneous photocatalysis) encompasses the use of a solid semiconductor such as ZnO and TiO2 to form an irradiation-effect stable suspension, to enhance the chemical reaction into the operating system. The best semiconductor in heterogeneous treatment is recently considered TiO2. Read more about this TiO2. The most practicable deployment of AOPs as shown by a wide range of literatures relating to the elimination of toxic organic products from water is the decay of organic compounds by the heterogeneous photoinduced reaction (HPR) [7].
Figure 2 summarizes the kinetic mechanism of AOP. Electron-hole pairs (e-h+) pairs are formed when TiO2 surfaces are irradiated by light photons having energy greater than 3.2 eV. These pairs generate hydroxyl radicals (OH) when combined with H2O molecules and dissolved oxygen (DO). (H+) ions, superoxide radical (O2−•), and peroxide radicals (OOH) are also formed. (OOH) joins with H+ to produce OH and OH. (h+) oxidizes OH to OH. Hence, all species finally enhance the generation of OHs. These radicals break up different toxic chains that exist in the liquid [7,8].
It is well-known that TiO2 utilizes a UV bandwidth to initiate a photoinduced reaction at 3.2 eV. Copper oxides display an enhanced absorptive material with a narrow band gap (1.4–2.2 eV). Copper oxides in conjunction with TiO2 were stated to give greater stability and greater efficacy photocatalytic [9]. Many investigations investigated the deterioration of toxic material produced from industrial activities (i.e., xylene, antibiotics, phenol, and pesticides) through the use of homogenous photocatalytic processes using a constant UV or variable solar radiating reactor with a variety of operational parameters: the pH of the solution, the catalyst concentration, loading of a homogeneous catalyst, H2O2 loading, and liquid flow rate [10,11,12,13,14]. In recent studies, Khan et al. [15] investigated the photocatalytic performance and the biocidal potential of a synthesized nitrogen-doped TiO2 nanoparticles against reactive black 5 (RB5), a double azo dye and E. coli. The authors reported that for the RB5 90% COD removal was achieved after 60 min of irradiation, confirmed by the disappearance of spectral peaks while the best-optimized photocatalysts showed a noticeable biocidal potential against human pathogenic strain E. coli in 150 min. Moreover, Khan et al. [16] studied the photocatalytic activity of a prepared graphene quantum dots (GQDs) and iron co-doped TiO2 nanoparticles for decolorization of reactive black 5 dye. The authors revealed that GQD-0.1Fe co-doping of TiO2 greatly improved the photocatalytic decolorization efficiency for RB5 dye.
The current research aimed to study AIMDs degradation in synthetic wastewater using a solar-irradiated catalytic reactor, in accordance with various operating parameters as solar irradiation intensity, solution acidity, H2O2, and a photocatalyst concentration in the solution.

2. Materials and Methods

2.1. Materials

Ti{OCH(CH3)2}4 (purity 98%) was supplied by Chempure (Mumbai, India). Alfa Aesar (Jakarta Utara, Indonesia) provided the CuSO4·5H2O (98% min). Sigma-Aldrich (Bangalore, India) provided with analytical grade samples of diclofenac (DIC), ibuprofen (IBN) and mefenamic acid (MFA). H2O2 (30%) was supplied by Arkema (Istanbul, Turkey). The local market supplied RO water, HCl (36%), NaOH (99%), and NaCl (99%), while Sigma-Aldrich (OMA International Business, Baghdad, Iraq) supplied analytical grades of potassium chloride, potassium dihydrogen orthophosphate (KH2PO3) and disodium hydrogen orthphosphate (Na2HPO4).

2.2. Methods

2.2.1. Catalyst Preparation

The Cu-coated TiO2 nanoparticle was synthesized following the procedure of [9]. One M CuSO4 was prepared by dissolving CuSO4·5H2O in NH4OH (25 wt%). One mM (97% min) of Ti{OCH(CH3)2}4 was blended with the 1 M CuSO4 solution and the blend was sonicated for half an hour, with 5 min sonication intervals, followed by a rest period of 3 min, using an Ultrasonic model system (VCX-750 Vibracell, SONICE, Newtown, CT, USA). The sediment obtained by filtration with double 1 µm filter papers, was washed with acetone and ethanol several times to remove any remaining organic matter. For 1 h at 110 °C, the sediment was dried. The calcination of the as-synthesized Cu-doped TiO2 was done for 60 min at 500 ± 2 °C [9]. Cu-free TiO2 was synthesized following the same steps but without using CuSO4.

2.2.2. Catalyst Characterization

The surface morphology was examined using an Inspect S50 SEM system (FEI, Eindhoven, The Netherlands) with voltage of 200 V to 30 kV and a magnification range from 4× to 105×. FTIR was used to determine the various functional groups present in the samples [17]. The FTIR spectra were obtained in the 400–4000 cm−1 range using a FT/IR-6300 spectrometer (Jasco, Easton, MD, USA). The pHs of solutions were monitored by a pH 9124 device made by HANNA (Woonsocket, RI, USA) equipped with Ag/AgCl electrodes.

2.3. Experimental Setup

The experiments were conducted using a solar reactor with a usable volume (reactor volume + tank volume) of 30 L. A batch mode was used in the solar reactor. The frame includes panels, wastewater synthesis vessels, a centrifugal pump and a control panel. The sunlight collector was placed on a 37° (regional latitude) steel base corresponding to the solar orientation of the southern city of Baghdad (Iraq). Ten cylindrical Pyrex glass tubes of 1.25 m in length and 2.5 cm in diameter, respectively, were used for the solar collectors. The pipes were connected by custom PVC fittings. A balanced flow meter was used to load wastewater from the vessel to the collectors. Polished panels of aluminum were arranged as a tub shape and were placed on the stainless-steel stand. This design requires light to be reflected into the central line of pipes from all sides, and even for photocatalyst the light entering pipes can be used. A temperature sensor was mounted at the reactor exit to measure the temperature, and samples are taken periodically to determine the concentration. To maintain a uniform tank level and maintain aeration, a mechanical stirrer was used. The entire configuration was managed by a control panel. Figure 3 gives an overview of the photocatalytic system setup. It is worth noting that before starting irradiation with solar light, experiments of AIMDs adsorption onto TiO2 were conducted in the dark. The suspensions were circulated through the system during 2 h in the absence of light in order to reach equilibrium adsorption in the presence of oxygen obtained from the air. The “initial” concentration C0 is therefore slightly lower than the original concentration of the solution due to a partial adsorption (of about 5%). Preparation details of buffer solution and calibration curves are given in Supplementary Material.

2.4. Range of Operating Parameters

Table 1 shows the operating variables with their ranges. In all the experiments the wastewater flow rate was kept at 1 L min−1.

2.5. Solution Preparation

To make a buffer of pH 4, 0.1 M KCl solution was poured slowly to 0.1 M HCl till the desired pH was obtained. For the synthesis of pH 7 buffer, KH2PO4 (0.6 g), Na2PO4H (6.4 g) and NaCl (5.85 g) were dissolved in an excess of distilled water to yield 1000 mL and the pH was regulated with a 15% NH4OH. Similarly, pH 9 buffer was made by dissolving KH2PO4 (17.4 g) in distilled water (800 mL) and the pH was adjusted with a 15% NH4OH solution.
To establish the calibration curve, working standard solutions of diclofenac sodium, ibuprofen, and mefenamic acid in concentrations ranging from 1 to 120 µg L−1 were prepared in pH 4 buffer. For these solutions, the maximum absorbance was screened against the reagent blank in the region from 190 to 700 nm. This process was then replicated using buffers of pH 7 and 9. The calibration curves of diclofenac sodium, ibuprofen, and mefenamic acid at pH 9 can be seen in Figure S1 in the Supplementary File.

3. Results and Discussion

3.1. Surface Morphology and Cu-Coated TiO2 Catalyst Structure

3.1.1. SEM Analysis

Scanning electron microscopy (SEM) is widely used in science to characterize the surface roughness of materials [18,19] because from SEM images the actual particle size can be easily determined. In Figure 4a (SEM Mag. 1 kx) and Figure 4b (SEM Mag. 2.00 kx), SEM photographs of 3 wt% of Cu-doped TiO2 are presented. The SEM images show a few localized agglomerations with a pattern of cracks. A variety of 57 and 84 nm nanocrystallites along with nano-sized TiO2 are seen in the images. That is, a decrease in particle size due to Cu coating is observed. When Cu2+ ions are doped into TiO2 lattice, they like to locate in grain boundary regions or on the surface of particles where they inhibit the growth of TiO2 crystals.

3.1.2. EDS Analysis

EDS can be used to determine which chemical elements are present in a sample [20,21]. Pure TiO2 and the Cu-doped TiO2 catalyst exhibited distinctive surface characteristics in the EDS plots, as illustrated in Figure 5. The horizontal coordinate of the EDS picture represents the energy of ionization, and the vertical coordinate shows the count. The higher the count, the more of that component was present in the observation area. Comparing uncoated TiO2 with the TiO2 coated with 3.5 wt% Cu (Figure 5b) reveals peaks of 3.5 wt% Cu-doped TiO2 and the presence of Cu metal with a high content of TiO2 atoms, as displayed in Figure 5a. Thus, the Cu presence in the TiO2 grid was obvious. The results are seen in Figure 5a, which depicts a percentage of TiO2 and oxygen of 62.5 and 37.5 wt% respectively, while in Figure 5b, the EDS spectra show percentages of TiO2, oxygen, and Cu of 47.5, 49, and 3.5 wt%, respectively.

3.2. FTIR Analysis

The FTIR spectra for TiO2 and Cu- coated TiO2 are seen in Figure 6a,b, respectively. The FTIR spectrum of TiO2 has two main bands, one wide and extreme with a peak of 3420 cm−1, the other at 1620 cm−1. The peaks at 3420 and 1620 cm−1 can be due to O–H moieties from moisture hydroxyl groupings and bending that occurs on the catalyst surface. For the Cu-doped TiO2 spectrum the O–H group is shown at the peaks of 3460 and 1722 cm−1. Vibrations of Ti-O and Ti-O–Ti framework bands of TiO2 can be attributable to the peaks of TiO2, at 476, and 620 cm−1 [21]. There was no characteristic Cu-O peak in the area between 400 and 600 cm−1 (432.3, 497 and 603 cm−1) [22,23]. Since the volume of metal salts is minimal, there is no new band and no change in the nano-TiO2 bands after Cu doping.

3.3. Operating Parameters Effect on DIC, IBN, and MFA Degradation

All figures were plotted to measure AIMDs’ degradation as a function of incident solar energy. The accumulated energy per unit volume of synthetic wastewater flow ( Q UV , n ) across the solar reactor of the n-th sample was estimated using Equation (1) [24]. The solar light intensity was measured by using Davis instruments 6152C Vantage Pro2 Weather Station (USA):
Q UV , n =   Q UV , n 1 + Δ t n   UV GN   A V  
where ∆t is the time interval between each sample (15 min), A is the irradiated area of the reactor (10 × π × 2.5 × 125) cm2, V is the volume of synthetic wastewater in the system = 30 L, n is the number of samples, and UVGN: is the average local global UV irradiation = 33.7 W/m2.

3.3.1. Influence of pH

Figure 7a–c illustrate the removal efficiency of AIMDs versus the accumulated solar energy per unit volume of wastewater (QUVS) at the reactor outlet at various pH values after 65 min. The pH was changed from 4, 7, and 9 keeping other variables constant (CMFA = 30 µg/L, C CU-TiO2 = 300 mg/L, and CH2O2 = 400 mg/L).
Figure 7a shows that after 65 min of irradiation, the removal efficiency of MFA was 40.0, 50. 0, and 82.3 at pH 4, 7, and 9, respectively. Figure 7b illustrates that after 65 min of irradiation, the removal efficiency of DCF was 50.0, 73. 0, and 96.5 at pH of 4, 7, and 9, respectively. The removal efficiency of IBN is seen in Figure 7c. As can be observed in this figure the %R of IBN was 48.0, 72.0, and 94.3 at pH of 4, 7, and 9, respectively. This behaviour could be imputed to the changes on the TiO2 surface.
In an alkaline medium, TiO2 acquires a charge that creates electric drag forces on the TiO2 surface and the AIMD ions in the wastewater enhancing the sorption of these ions on the illuminated surface of dopedTiO2 and hence increasing the AIMD removal. However, in the acidic environment, a different effect was observed. This may be attributed to the repulsive electrostatic forces between the nanoparticles of TiO2 and AIMDs ions in the solution hindering the adsorption over the Cu-doped TiO2. Poulios et al. introduced Equations (2) and (3) describing the alteration in the surface behavior with changing pH of the solution near its pHpzc [25].
TiOH +   H + TiOH 2 +   pH   <   pH pzs
TiOH +   OH TiO +   H 2 O   pH   >   pH pzs
As a consequence, the aforementioned pH alterations influence the sorption of AIMDs ions over surface of TiO2, a basic step for the photo-oxidation to take place. In our present work the pHpzc of Cu-doped TiO2 photocatalyst was measured using the electrolyte titration method of Preocanin and Nikola [26]. The pHpzc ranged from 5.9–6.0 (see Figure 8), and when the pH of suspension exceeds 6.0 the number of sorbed AIMDs ions over the TiO2 begins to grow because of the increasing of TiO presence in the TiO2. In our work, the percentage removal of all AIMDs reached a maximum at a pH of 9. Because of this, the removal of AIMDs attains high levels in alkaline solutions [24].

3.3.2. Effect of H2O2 Loading

Figure 9a–c depict the effect of different H2O2 loadings (200 to 500 mg/L) on the removal efficiency of AIMDs under solar illumination, when other operating variables remain unchanged. As can be seen in Figure 9a, as the loading of H2O2 increased from 200, to 400, and 500 mg/L the %R of DCF becomes 48.0, 96.5, and 90.0%, respectively. In Figure 9b, the removal efficiency of MFA after 65 min of solar light irradiation with the same additions of H2O2 is shown to be 47, 76, and 82.3%, respectively, whilst in Figure 9c, as the loading of H2O2 increased from 200, 400, and 500 mg/L the %R of IBN becomes 60.0, 94.3, and 88.0%, respectively. In all figures, it is observed that as the H2O2 concentration was raised, %R for AIMDs exhibited the same behavior attaining the highest value at 400 mg H2O2/L, and after this %R started to decrease with further addition of H2O2. This may suggest that the optimum concentration of H2O2 for the best removal efficiency is 400 mg/L which was employed in all experiments. The mentioned trend may be due to that fact that at 200 mg/L loading an inadequate amount of hydroxyl radicals was generated, which are responsible for AIMDs’ removal. Moreover, H2O2 hinders the recombination of the electrons and holes over the surface of TiO2 and increases the generation of OH to the photocatalyst [26]. However, as the H2O2 loading increased more than 400 mg/L, the rate of increase in %R was less. This may be attributed to that as more quantity of H2O2 is added more OH radicals are generated, yet the excess of H2O2 react with the hydroxyl radicals generated rather than with the organic substrate, according to Equations (4) and (5) [11,24]:
H2O2 + OH → H2O + HO2
HO2 + OH → H2O + O2
Therefore, it is imperative to determine the stoichiometric amount of hydrogen peroxide sufficient for complete mineralization. H2O2 appears to have two functions in the reaction of photooxidation, firstly it hinders electron-hole recombination and it can also split to form OH [27].

3.3.3. Effect of Catalyst Loading

Changes of %R with solar light for various TiO2 loading (100–500 mg L−1) maintaining other process parameters unchanged are seen in Figure 10a–c for DCF, IBN, and MFA, respectively, after 65 min of illumination. In Figure 10a it is observed that as the TiO2 loading increased from 100, 300, and 500 mg L−1 the %R of DCF increases from 55, 96.5, and 78%, while in Figure 10b it is shown that as the TiO2 loading increased from 100, 300, and 500 mg L−1 %R of IBN increased to 52, 94.3, and 68%. In Figure 10c it is seen that as the TiO2 loading increased from 100, 300, and 500 mg L−1, the %R of MFA increased 37, 82.3, and 54%.
In all plots of Figure 10 it is noticed that with each specified quantity of TiO2 concentration in suspension the removal efficiency of AIMDs increased steeply with the QUV till it reached a certain magnitude beyond which the rate growth became limited. This pattern can be due to the reaction rate of the AIMDs, which is slower when the amount of MFA used is smaller [28,29]. Figure 10 also shows the effect of the average rise in TiO2 concentration on the removal efficiency; this trend is attributed to the increase in TiO2-active sites with more surface-adsorbed cations of AIMD. In order to prevent the use of excess TiO2, the most favorable load for the efficient removal of AIMDs must be predicted. Figure 10 shows that the rise in the TiO2 concentration by R is consequently increased from 100–300 mg L−1. This may be attributed to the number of active catalyst sites which increased enhancing the photoreaction. On the other hand, a different trend was observed for TiO2 concentrations of more than 300 mg L−1. This trend occurred due to the reduction in light permeation into the wastewater due to the rising density of the suspension eventually becomes a lightproof medium [25,30].

3.4. Comparison of Catalysts Performance

The comparison between Cu coated TiO2 and pure TiO2 for AIMDs degradation using the optimum parameters is illustrated in Figure 11, where 3.5 wt% Cu-coated TiO2 exhibits a noteworthy growth in the mefenamic acid degradation performance under solar light. The results depicted that about a 51% raise in MFA removal was noticed for the 3.5 wt% Cu-coated TiO2 over that achieved over pure TiO2. This could be due to the influence of the Cu powder distributed over the TiO2 nanoparticles causing a decrease in the bandgap of TiO2 from 3.2 to 2.2 eV allowing the participation of visible light irradiation in addition to UV in the photodegradation mechanism. Moreover, about a 1% raise in MFA removal was noticed for the 3.5 wt% Cu-coated TiO2 over that of 2.5 wt% Cu-coated TiO2 which was synthesized by Shanian et al. [24]. One may conclude that the presence of the optimum stoichiometric amounts of titanium dioxide with Cu is necessary to display a reasonable photocatalytic activity. Our outcome displayed the same trend as that found by Czupryn et al., [31] who synthesized Pt/TiO2 to oxidize gaseous CO under UV light. The present results also revealed that the optimum value of Cu coating TiO2 was 2.5 wt% from the cost point of view.
To validate these results a light absorbency measurement has been conducted for the synthesized photocatalysts as shown below. Cu-coated TiO2 nanoparticles with different wt% of Cu (0, and 3.5%) were synthesized and UV-VIS absorbance of doped and undoped TiO2 was measured using a Shimadzu UV- Vis 1601 spectrophotometer. The bandgap energy of the nano photocatalyst is calculated according to the formula E = h   c λ   [32]. where h, c, and λ are Blank constant (=4.1357 × 10−15 eV·s), light velocity (=2.99705 × 108 m·s−1), and wavelength (nm) respectively. Absorbance data for the samples are listed in Table 2. The table shows a shift in wavelength from the UV to the visible region. The absorbance values start increasing as the Cu loading is increased.

4. Conclusions

Experimental studies using solar irradiation of removing anti-inflammatory drugs (AIMDs) from wastewater have shown that different operational variables, for example the acidity of the wastewater, photocatalyst, and hydrogen peroxide loadings all affect the removal effectiveness. The optimum operating conditions to obtain the best photodegradation of the tested AIMDs were pH = 9, C(Cu-TiO2) = 300 mg/L, and C (H2O2) = 400 mg/L. The increased loading of H2O2 above the optimal value has no impact on the elimination of AIMDs. Moreover, as the photocatalyst concentration was increased above an optimum, solar light penetration through the liquid film decreased, reducing the efficiency of the photodegradation. Cu-coated TiO2 catalyst has a strong effect on improving the elimination of AIMD. Operating with 3.5 wt% Cu-coated TiO2 increased the elimination of AIMDs by around 51% over that of pure TiO2 since the bandgap of pure TiO2 was decreased from 3.2 to 2.2 eV by the coating procedure. However, it has been found that increasing Cu coating over 2.5 wt% has only a slight effect on the degradation of AIMDs. The findings of this research revealed that solar irradiation could be used as a clean energy source for the degradation of AIMDs in surface waters.

Supplementary Materials

The following are available online at www.mdpi.com/article/10.3390/catal11111330/s1, Figure S1. Calibration curves of MFA, IBN, and DCF at pH = 9.

Author Contributions

Conceptualization, M.F.A. and M.A.-J.; methodology, H.M.A.; formal analysis, M.A.M.; investigation, M.A.M.; resources, H.S.M.; data curation, M.A.-J.; writing—original draft preparation, M.F.A.; writing—review and editing, A.A.A.; visualization, M.A.-J.; supervision, H.S.M.; project administration, A.A.A. All authors have read and agreed to the published version of the manuscript.

Funding

The authors have no relevant financial or nonfinancial interests to disclose.

Data Availability Statement

Not applicable.

Acknowledgments

The authors are grateful to the Chemical Engineering Department, University of Technology and Al-Mustaqbal University College, Hilla, Babylon, Iraq. for providing space and facilities to conduct this work. Thanks are also due to the Solar Energy Research Center, Ministry of Sciences and Technology and for assistance.

Conflicts of Interest

We certify that they have no affiliations with or involvement in any organization or entity with any financial interest or nonfinancial interest in the subject matter or materials discussed in this manuscript.

Nomenclature and Abbreviations

Nomenclature
TiO2Titanium dioxide.
H2O2Hydrogen peroxide.
CConcentration of electrolyte
Cu dopedCopper doping.
pHWater acidity.
QUV,nAccumulated solar energy per unit volume of wastewater (kJ/L)
RRemoval
Abbreviations
AIMDAnti-inflammatory drugs.
DCFDiclofenac sodium.
IBNIbuprofen.
MFAMefenamic acid.

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Figure 1. Chemical structure of MFA, IBN, and DCF.
Figure 1. Chemical structure of MFA, IBN, and DCF.
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Figure 2. The AOP pathway on TiO2 under UV irradiation.
Figure 2. The AOP pathway on TiO2 under UV irradiation.
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Figure 3. Photographic view of the experimental setup.
Figure 3. Photographic view of the experimental setup.
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Figure 4. SEM images of (a) TiO2 and (b) 3.5wt% Cu-doped TiO2.
Figure 4. SEM images of (a) TiO2 and (b) 3.5wt% Cu-doped TiO2.
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Figure 5. EDS snapshots of (a) TiO2 and (b) 3.5 wt% Cu-doped TiO2.
Figure 5. EDS snapshots of (a) TiO2 and (b) 3.5 wt% Cu-doped TiO2.
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Figure 6. FTIR spectrum of (a) pure TiO2 and (b) 3.5 wt% Cu-doped TiO2.
Figure 6. FTIR spectrum of (a) pure TiO2 and (b) 3.5 wt% Cu-doped TiO2.
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Figure 7. Alteration of %R versus QUVS (kJ/L) at reactor outlet at various pHs after 65 min. of run-time: (a) MFA, (b) DCF and (c) IBN.
Figure 7. Alteration of %R versus QUVS (kJ/L) at reactor outlet at various pHs after 65 min. of run-time: (a) MFA, (b) DCF and (c) IBN.
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Figure 8. Effect of NaCl concentration on pHpzc (◆) and on pH values (▲) obtained by electrolyte (NaCl) titration of TiO2 dispersion at 25 °C.
Figure 8. Effect of NaCl concentration on pHpzc (◆) and on pH values (▲) obtained by electrolyte (NaCl) titration of TiO2 dispersion at 25 °C.
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Figure 9. Alteration of % R versus QUVS at various H 2 O 2 loading at reactor effluent after 65 min of run-time: (a) MFA, (b) DCF and (c) IBN.
Figure 9. Alteration of % R versus QUVS at various H 2 O 2 loading at reactor effluent after 65 min of run-time: (a) MFA, (b) DCF and (c) IBN.
Catalysts 11 01330 g009aCatalysts 11 01330 g009b
Figure 10. Alteration of % R versus QUVS at reactor outlet (after 65 min run-time) for different photo-catalyst loadings: (a) MFA, (b) DCF and (c) IBN.
Figure 10. Alteration of % R versus QUVS at reactor outlet (after 65 min run-time) for different photo-catalyst loadings: (a) MFA, (b) DCF and (c) IBN.
Catalysts 11 01330 g010aCatalysts 11 01330 g010b
Figure 11. Alteration of %R versus QUVS at optimum conditions for pure, 2.5 wt%, and 3.5 wt% Cu-coated catalysts.
Figure 11. Alteration of %R versus QUVS at optimum conditions for pure, 2.5 wt%, and 3.5 wt% Cu-coated catalysts.
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Table 1. Operating variables.
Table 1. Operating variables.
AIMD Conc.
µg/L
pHH2O2 Loading
mg/L
TiO2 Loading
mg/L
14200100
307400300
609500500
1009500500
Table 2. Effect of Cu coating on the band gap energy of the photocatalyst.
Table 2. Effect of Cu coating on the band gap energy of the photocatalyst.
Itemwt% Cu-CoatingWavelength (nm)(eV)Ref.
103.873.20present work
22.54102.20[24]
23.54151.98present work
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Al-Jemeli, M.; Mahmoud, M.A.; Majdi, H.S.; Abid, M.F.; Abdullah, H.M.; AbdulRazak, A.A. Degradation of Anti-Inflammatory Drugs in Synthetic Wastewater by Solar Photocatalysis. Catalysts 2021, 11, 1330. https://doi.org/10.3390/catal11111330

AMA Style

Al-Jemeli M, Mahmoud MA, Majdi HS, Abid MF, Abdullah HM, AbdulRazak AA. Degradation of Anti-Inflammatory Drugs in Synthetic Wastewater by Solar Photocatalysis. Catalysts. 2021; 11(11):1330. https://doi.org/10.3390/catal11111330

Chicago/Turabian Style

Al-Jemeli, Marwan, Mahmoud Abbas Mahmoud, Hasan Sh. Majdi, Mohammad Fadhil Abid, Hiba M. Abdullah, and Adnan A. AbdulRazak. 2021. "Degradation of Anti-Inflammatory Drugs in Synthetic Wastewater by Solar Photocatalysis" Catalysts 11, no. 11: 1330. https://doi.org/10.3390/catal11111330

APA Style

Al-Jemeli, M., Mahmoud, M. A., Majdi, H. S., Abid, M. F., Abdullah, H. M., & AbdulRazak, A. A. (2021). Degradation of Anti-Inflammatory Drugs in Synthetic Wastewater by Solar Photocatalysis. Catalysts, 11(11), 1330. https://doi.org/10.3390/catal11111330

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