Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN Modelling
The present work aimed to study the feasibility of photo-Fenton oxidation for the degradation of chlortetracycline chlorhydrate (CTC) in aqueous solutions, as well as the modelling of system behaviour by artificial neural networks. The removal performance of CTC oxidation by the Photo-Fenton process...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Croatian Society of Chemical Engineers
2023-11-01
|
| Series: | Kemija u Industriji |
| Subjects: | |
| Online Access: | http://silverstripe.fkit.hr/kui/assets/Uploads/2-627-637-KUI-11-12-2023.pdf |
| _version_ | 1797516627456032768 |
|---|---|
| author | Nabila Boucherit Salah Hanini Abdellah Ibrir Maamar Laidi Mohamed Roubehie-Fissa |
| author_facet | Nabila Boucherit Salah Hanini Abdellah Ibrir Maamar Laidi Mohamed Roubehie-Fissa |
| author_sort | Nabila Boucherit |
| collection | DOAJ |
| description | The present work aimed to study the feasibility of photo-Fenton oxidation for the degradation of chlortetracycline chlorhydrate (CTC) in aqueous solutions, as well as the modelling of system behaviour by artificial neural networks. The removal performance of CTC oxidation by the Photo-Fenton process was studied under solar radiation. Different parameters were studied, such as pH (3 to 5), and initial concentrations of CTC (0.1 to 10 mg l–1), hydrogen peroxide (1.701 to 190.478 mg l–1), and ferrous ions (2.8 to 103.6 mg l–1). Results showed that a high removal efficiency of 92 % was achieved at pH 3 under optimised conditions, such as 10 mg l–1 of CTC, 127.552 mg l–1 of H2O2, and 36.4 mg l–1 of Fe2+. The transformation of CTC molecules was proved by UV-visible and HPLC analyses, which showed that almost no CTC molecules were remaining in the treated solution. A multi-layer perceptron artificial neural network has been developed to predict the experimental removal efficiency of CTC based on four dimensionless inputs: molecular weight, and initial concentrations of CTC, hydrogen peroxide and ferrous ions. The best network has been found with a high determination coefficient of 0.9960, and with a very acceptable root mean square error 0.0108. In addition, the global sensitivity analysis confirms that the most influential parameter for the CTC removal by photo-Fenton oxidation is the initial concentration of ferrous cations with a relative importance of 33 %. |
| first_indexed | 2024-03-10T07:03:30Z |
| format | Article |
| id | doaj.art-1c7ebc0ca5dd4b3ea5c5c1808b3ff99d |
| institution | Directory Open Access Journal |
| issn | 0022-9830 1334-9090 |
| language | English |
| last_indexed | 2024-03-10T07:03:30Z |
| publishDate | 2023-11-01 |
| publisher | Croatian Society of Chemical Engineers |
| record_format | Article |
| series | Kemija u Industriji |
| spelling | doaj.art-1c7ebc0ca5dd4b3ea5c5c1808b3ff99d2023-11-22T16:00:00ZengCroatian Society of Chemical EngineersKemija u Industriji0022-98301334-90902023-11-017211-1262763710.15255/KUI.2023.004Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN ModellingNabila Boucherit0Salah Hanini1Abdellah Ibrir2Maamar Laidi3Mohamed Roubehie-Fissa4Biomaterials and Transport Phenomena Laboratory (LBMPT), Yahia Fares University, Médéa, AlgeriaBiomaterials and Transport Phenomena Laboratory (LBMPT), Yahia Fares University, Médéa, AlgeriaMaterials and Environment Laboratory (LME), Faculty of Technology, Yahia Fares University, Médéa, AlgeriaBiomaterials and Transport Phenomena Laboratory (LBMPT), Yahia Fares University, Médéa, AlgeriaBiomaterials and Transport Phenomena Laboratory (LBMPT), Yahia Fares University, Médéa, AlgeriaThe present work aimed to study the feasibility of photo-Fenton oxidation for the degradation of chlortetracycline chlorhydrate (CTC) in aqueous solutions, as well as the modelling of system behaviour by artificial neural networks. The removal performance of CTC oxidation by the Photo-Fenton process was studied under solar radiation. Different parameters were studied, such as pH (3 to 5), and initial concentrations of CTC (0.1 to 10 mg l–1), hydrogen peroxide (1.701 to 190.478 mg l–1), and ferrous ions (2.8 to 103.6 mg l–1). Results showed that a high removal efficiency of 92 % was achieved at pH 3 under optimised conditions, such as 10 mg l–1 of CTC, 127.552 mg l–1 of H2O2, and 36.4 mg l–1 of Fe2+. The transformation of CTC molecules was proved by UV-visible and HPLC analyses, which showed that almost no CTC molecules were remaining in the treated solution. A multi-layer perceptron artificial neural network has been developed to predict the experimental removal efficiency of CTC based on four dimensionless inputs: molecular weight, and initial concentrations of CTC, hydrogen peroxide and ferrous ions. The best network has been found with a high determination coefficient of 0.9960, and with a very acceptable root mean square error 0.0108. In addition, the global sensitivity analysis confirms that the most influential parameter for the CTC removal by photo-Fenton oxidation is the initial concentration of ferrous cations with a relative importance of 33 %.http://silverstripe.fkit.hr/kui/assets/Uploads/2-627-637-KUI-11-12-2023.pdfartificial neural networksmulti-layer perceptronchlortetracycline chlorhydratemodellingphoto-oxidation |
| spellingShingle | Nabila Boucherit Salah Hanini Abdellah Ibrir Maamar Laidi Mohamed Roubehie-Fissa Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN Modelling Kemija u Industriji artificial neural networks multi-layer perceptron chlortetracycline chlorhydrate modelling photo-oxidation |
| title | Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN Modelling |
| title_full | Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN Modelling |
| title_fullStr | Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN Modelling |
| title_full_unstemmed | Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN Modelling |
| title_short | Removal of Chlortetracycline Chlorhydrate by Photo-Fenton Process: Experimental Study and ANN Modelling |
| title_sort | removal of chlortetracycline chlorhydrate by photo fenton process experimental study and ann modelling |
| topic | artificial neural networks multi-layer perceptron chlortetracycline chlorhydrate modelling photo-oxidation |
| url | http://silverstripe.fkit.hr/kui/assets/Uploads/2-627-637-KUI-11-12-2023.pdf |
| work_keys_str_mv | AT nabilaboucherit removalofchlortetracyclinechlorhydratebyphotofentonprocessexperimentalstudyandannmodelling AT salahhanini removalofchlortetracyclinechlorhydratebyphotofentonprocessexperimentalstudyandannmodelling AT abdellahibrir removalofchlortetracyclinechlorhydratebyphotofentonprocessexperimentalstudyandannmodelling AT maamarlaidi removalofchlortetracyclinechlorhydratebyphotofentonprocessexperimentalstudyandannmodelling AT mohamedroubehiefissa removalofchlortetracyclinechlorhydratebyphotofentonprocessexperimentalstudyandannmodelling |