Efficient purification of aqueous solutions contaminated with sulfadiazine by coupling electro-Fenton/ultrasound process: optimization, DFT calculation, and innovative study of human health risk assessment

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dc.contributor.authorNasab, Ehsan Abbasi
dc.contributor.authorNasseh, Negin
dc.contributor.authorDamavandi, Sobhan
dc.contributor.authorAmarzadeh, Mohamadamin
dc.contributor.authorGhahrchi, Mina
dc.contributor.authorHoseinkhani, Atefeh
dc.contributor.authorAlver, Alper
dc.contributor.authorkhan, Nadeem A.
dc.contributor.authorFarhadi, Asadollah
dc.contributor.authorDanaee, Iman
dc.date.accessioned2023-10-11T07:20:34Z
dc.date.available2023-10-11T07:20:34Z
dc.date.issued2023
dc.departmentMühendislik Fakültesi
dc.description.abstractIn the current work, the hybrid process potential of ultrasound (US) and electro-Fenton (EF), named sono-electro-Fenton (SEF), was fully investigated for sulfadiazine (SDZ) degradation. The decontamination in the integration approach was revealed to be greater than in individual procedures, i.e., EF process (roughly 66%) and US process (roughly 15%). The key operating process factors (i.e., applied voltage, H2O2 content, pH, initial concentration of SDZ, and reaction time) affecting SDZ removal were evaluated and optimized using Box-Behnken Design (BBD). In addition, an adaptive neuro-fuzzy inference system (ANFIS) as an efficient predictive model was applied to forecast the decontamination efficiency of SDZ through the SEF process based on the same findings produced from BBD. The results revealed that the predictability of SDZ elimination by the ANFIS and BBD approaches exhibited an excellent agreement (a greater R 2 of 0.99%) among the both models. Density functional theory was also employed to forecast the plausible decomposition elucidation by the bond-breaking mechanism of organic substances. Plus, the main side products of SDZ degradation during the SEF process were tracked. Eventually, the non-carcinogenic risk assessment of different samples of natural water containing SDZ that was treated by adopting US, EF, and SEF processes was examined for the first time. The findings indicated that the non-carcinogenic risk (HQ) values of all the purified water sources were computed in the permissible range.
dc.identifier.doi10.1007/s11356-023-28235-z
dc.identifier.issn0944-1344
dc.identifier.scopusqualityQ1
dc.identifier.urihttps:/dx.doi.org10.1007/s11356-023-28235-z
dc.identifier.urihttps://hdl.handle.net/20.500.12451/11130
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectAdaptive Neuro-fuzzy Interference System
dc.subjectNon-carcinogenic Risk Assessment
dc.subjectSono-electro-Fenton
dc.subjectSulfadiazine
dc.titleEfficient purification of aqueous solutions contaminated with sulfadiazine by coupling electro-Fenton/ultrasound process: optimization, DFT calculation, and innovative study of human health risk assessment
dc.typeArticle

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