Amoxicillin degradation from contaminated water by solar photocatalysis using response surface methodology (RSM)

Moosavi, F.; Tavakoli, Touraj

doi:10.1007/s11356-016-7349-y

Cited by 35 publications

(16 citation statements)

References 56 publications

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“…However, it worthy to note that increasing the catalyst loading above the optimum could decrease the degradation rate due to the fact that UV light penetration may decrease due to increased turbidity [17]. The optimum catalyst loading of 1.5 g/L is agreement with that found by Moosavi and Tavakoli [9].…”

Section: Response Surface and Optimisationsupporting

confidence: 84%

“…They were tools used to determine the significant variables. A high Fisher's F value and a very low probability P value indicated significance of the results [9]. P values lower than 0.05 indicated their significance while P values greater than 0.05 indicated their insignificance on the degradation of the antibiotics.…”

Section: Discussionmentioning

confidence: 98%

“…The significant effect of pH on all the measured variables could be explained by the properties of both the antibiotics and the catalyst itself. Studies have revealed that the point of zero charge (pHPZC) for TiO 2 is 6.25 [9]. Again, the three antibiotics used displayed different ionization stages owing to their various ionisable functional groups, please see Gimeno et al [2]; De Bel et al [18] and Abellán et al [19] for further information on the pK a values of the antibiotics used.…”

Section: Response Surface and Optimisationmentioning

confidence: 99%

“…The one factor-at-a-time (OFAT) approach has been the focused of most studies. In OFAT studies, each factor is studied independently while keeping other factors constant and therefore does not take interactions between factors into account [9]. The response surface methodology (RSM) based on Box-Behnken statistical experiment design offers the advantage of studying the interaction between variables.…”

Section: Introductionmentioning

confidence: 99%

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Degradation of Veterinary Antibiotics From Slaughterhouse Wastewater Using Titanium Dioxide as a Catalyst

Chollom

Rathilal

Swalaha

et al. 2018

WIT Transactions on Ecology and the Environment

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Antibiotics (ABs) and other pharmaceuticals are designed to be effectively bioactive against certain human and animal pathogens. It has been confirmed that some of these compounds are metabolized in animals by up to 90% or more, while others are metabolized by 10% or less. The residues find their way into the environment. Titanium dioxide (TiO2) has been extensively applied as a catalyst under UV/solar irradiation to degrade antibiotics due to the advantages it offers. The study presented here evaluated the use of TiO2 as a catalyst for the degradation of three antibiotics; namely; ciprofloxacin, enrofloxacin and sulfamethazine. Response surface methodology was used for the optimisation and modelling of independent variables, namely TiO2 dosage, antibiotics concentration and pH, based on the Box-Behnken (BB) experimental design. Photodegradation of three veterinary antibiotics was shown to be effective using TiO2 as a catalyst. The degradation of antibiotics depended on the chosen variables. The results from the experiment were fitted into the polynomial equation which was used to further elaborate optimisation. The value of determination of coefficient R 2 were above 0.9 for R1 and R2 and above 0.6 for R3, thus verifying the model fitting. Finally, the optimum conditions for the degradation of the selected antibiotics were obtained which were R1; pH (3-5), antibiotics concentration (10-25 mg/L). R2; pH (3-4) and antibiotics concentration (30-50 mg/L) and finally R3; pH (10) and antibiotics concentration of 15 mg/L.

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Section: Response Surface and Optimisationsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 98%

Section: Response Surface and Optimisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Degradation of Veterinary Antibiotics From Slaughterhouse Wastewater Using Titanium Dioxide as a Catalyst

Chollom

Rathilal

Swalaha

et al. 2018

WIT Transactions on Ecology and the Environment

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“…Though a few studies have focused on the degradation of AMO via solar photocatalysis using TiO 2 26,27,33 , no research on visible/solar photocatalysis assisted by tungsten trioxide (WO 3 ) has been reported to date. WO 3 , which has a narrow band gap energy (2.4–2.8 eV), is a visible light responsive catalyst with stable physicochemical properties 34–38 .…”

Section: Introductionmentioning

confidence: 99%

Tungsten Trioxide (WO3)-assisted Photocatalytic Degradation of Amoxicillin by Simulated Solar Irradiation

Nguyen

Nam

Son

et al. 2019

Sci Rep

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This study investigates the photocatalytic degradation of amoxicillin (AMO) by simulated solar irradiation using WO 3 as a catalyst. A three-factor-three-level Box-Behnken design (BBD) consisting of 30 experimental runs is employed with three independent variables: initial AMO concentration, catalyst dosage, and pH. The experimental results are analyzed in terms of AMO degradation and mineralization, the latter of which is measured using dissolved organic carbon (DOC). The results show that the photocatalytic degradation of AMO follows pseudo-first-order kinetics. AMO degradation efficiency and the pseudo-first-order rate constants decrease with increasing initial AMO concentration and pH and increase with increasing catalyst dosage. Though AMO degradation is almost fully complete under the experimental conditions, DOC removal is much lower; the highest DOC removal rate is 35.82% after 180 min. Using these experimental results, second-order polynomial response surface models for AMO and DOC removal are constructed. In the AMO removal model, the first-order terms are the most significant contributors to the prediction, followed by the quadratic and interaction terms. Initial AMO concentration and pH have a significant negative impact on the photocatalytic degradation of AMO, while catalyst dosage has a significant positive impact. In contrast, in the DOC removal model, the quadratic terms make the most significant contribution to the prediction and the first-order terms the least. The optimal conditions for the photocatalytic degradation of AMO are found to be an initial AMO concentration of 1.0 μM, a catalyst dosage of 0.104 g/L, and a pH of 4, under which almost complete removal of AMO is achieved (99.99%).

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Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

Fathy

Olabi

Rezk

et al. 2022

Intl J of Energy Research

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Summary Amoxicillin is a pharmaceutical pollutant that has severe impacts on aquatic life. Traditional treatment methods of Amoxicillin contaminated wastewater are expensive and inefficient. This paper uses soft computing to identify the best operating parameters of the solar photocatalysis process. The target is to maximize the degradation of Amoxicillin from wastewater. The proposed methodology integrates ANFIS modelling and grey wolf optimization (GWO). Three operating parameters are considered: TiO2 (g/L) dosage, initial antibiotic concentration (mg/L), and initial pH to maximize the AMX degradation (%). Based on experimental datasets, ANFIS model is designed to simulate the output solar photocatalysis process in terms of the mentioned operating parameters. The constructed ANFIS model is accurate; the R‐squared values are 0.9982 and 0.9979 for training and testing. Then, using GWO, the best values of TiO2 (g/L), Amoxicillin (mg/L), and pH are determined. The results were compared with an optimized performance by response surface methodology and experimental data to demonstrate the superiority of the suggested methodology. The suggested methodology maximized the Amoxicillin (AMX) degradation by 3% while using higher initial AMX concertation by 60% and 90%, compared with the experimental and RSM methodologies. The results demonstrated the superiority of the proposed method in determining the adequate operating conditions while keeping the same operating conditions of the applied pH and TiO2 concentration.

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Amoxicillin degradation from contaminated water by solar photocatalysis using response surface methodology (RSM)

Cited by 35 publications

References 56 publications

Degradation of Veterinary Antibiotics From Slaughterhouse Wastewater Using Titanium Dioxide as a Catalyst

Degradation of Veterinary Antibiotics From Slaughterhouse Wastewater Using Titanium Dioxide as a Catalyst

Tungsten Trioxide (WO3)-assisted Photocatalytic Degradation of Amoxicillin by Simulated Solar Irradiation

Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

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