An effective natural mineral-catalyzed heterogeneous electro-Fenton method for degradation of an antineoplastic drug: Modeling by a neural network. (March 2022)

• Record Type: Journal Article
• Authors: Hajiahmadi, Mahsa; Zarei, Mahmoud; Khataee, Alireza
• Is Part Of: Chemosphere. Volume 291:Part 3(2022)
• Publication Date: 2022-03
• Subjects: Advanced oxidation process -- Heterogeneous electro-fenton -- Iron mineral -- Anticancer drug -- Paclitaxel -- Artificial neural network; Pollution -- Periodicals; Pollution -- Physiological effect -- Periodicals; Environmental sciences -- Periodicals; Atmospheric chemistry -- Periodicals; 551.511
• DOI: 10.1016/j.chemosphere.2021.132810
• Languages: English
• ISSNs: 0045-6535

Abstract

Abstract: In this study, the heterogeneous electro-Fenton method was used to remove Paclitaxel as an antineoplastic medicine. The cathode based on three-dimensional graphene (3DG) was applied as a gas diffusion electrode. The potential of five eco-friendly and recyclable iron minerals derived from nature (Magnetite, Siderite, Hematite, Limonite, and Pyrite) was investigated. Among the applied iron minerals, Pyrite showed the best, and Magnetite and Siderite showed good catalytic activity at pH 3.0. The current intensity of 300 mA, pHi 7.0, Paclitaxel concentration of 3 mg L −1, amount of Pyrite 4.5 g L −1, and time of 120 min was the optimum condition of the process with the removal efficiency of 99.13% in the presence of Pyrite. Repeating the experiments eight times revealed the reusability of the prepared 3DG as a cathode. Also, using radical scavengers indicated the principal role of the hydroxyl radicals ( OH) in the treatment process. Analysis of total organic carbon reached 77.64% mineralization of 3 mg L −1 Paclitaxel at 360 min. Finally, ten by-products of small molecules were identified by gas chromatography-mass spectrometry device. Graphical abstract: Image 1 Highlights: Gas diffusion electrode was applied for in situ electro-generation and activation of H2 O2 . Green catalysts of natural iron minerals were applied. Pyrite demonstrated a wide pH application range. Modeling of the operational condition was done by artificial neural network. GC-MS was applied to determine by-products of mineralization.