Plasma modified Co3O4 nanoparticles for catalytic degradation process through enhanced peroxidase-like activity

dc.contributor.authorRashtbari, Samaneh
dc.contributor.authorDehghan, Gholamreza
dc.contributor.authorKhorram, Sirous
dc.contributor.authorAmini, Mojtaba
dc.contributor.authorKhataee, Alireza
dc.contributor.authorYoon, Yeojoon
dc.date.accessioned2025-10-29T11:26:38Z
dc.date.issued2023
dc.departmentFakülteler, Mühendislik Fakültesi, Çevre Mühendisliği Bölümü
dc.description.abstractThis study highlights a simple and efficient nanochemistry-based approach for the effective degrada-tion of triphenylmethane and toxic dye, malachite green (MG) using Argon cold plasma-modified cobalt oxide nanoparticles (Ar-Co3O4-NPs). Synthesized particles were characterized using scanning electron microscope, X-ray diffraction, and Fourier-transform infrared spectroscopy. The peroxidase-mimic activity of Co3O4-NPs was evaluated, and the results confirmed that the catalytic activity of Co3O4-NPs was enhanced after plasma modification. The decomposition of MG was tested using the improved catalytic activity of Ar-Co3O4-NPs in model aqueous solution. The results indicated the abil-ity of 0.16 g/mL Ar-Co3O4-NPs to completely degrade 40 lM MG within 70 min with a decolorization efficiency of 96.78%. Experimental conditions were optimized for maximum MG removal. Gas chromatography-mass spectrometry was used to determine the byproducts of MG degradation, and the findings indicated the production of less toxic products. The toxicity of the resultant metabolites of MG degradation was evaluated against E. coli and B. subtilis and the results confirmed less toxic product formation. Artificial neural networks (ANNs) were used to model the catalytic degradation data, and the strong correlation between experimental observations and ANN model predictions sug-gested that the designed model could accurately predict MG dye removal efficiency under different operating conditions. (c) 2023 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.
dc.description.sponsorshipIran National Science Foundation (INSF) [99027913]
dc.description.sponsorshipYonsei University Mirae Campus
dc.description.sponsorshipThe authors thank the Iran National Science Foundation (INSF) for supporting this research project (Grant Number: 99027913) . Y. Yoon wish to thank the Yonsei University Mirae Campus for the support.
dc.identifier.doi10.1016/j.jiec.2023.01.015
dc.identifier.endpage123
dc.identifier.issn1226-086X
dc.identifier.issn1876-794X
dc.identifier.orcid0000-0002-0912-5470
dc.identifier.orcid0000-0002-7813-5226
dc.identifier.scopus2-s2.0-85146558167
dc.identifier.scopusqualityQ1
dc.identifier.startpage114
dc.identifier.urihttps://doi.org/10.1016/j.jiec.2023.01.015
dc.identifier.urihttps://hdl.handle.net/20.500.14854/10345
dc.identifier.volume121
dc.identifier.wosWOS:000951933000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofJournal of Industrial and Engineering Chemistry
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectMalachite green
dc.subjectPlasma surface modification
dc.subjectPeroxidase-mimic activity
dc.subjectArtificial neural networks
dc.titlePlasma modified Co3O4 nanoparticles for catalytic degradation process through enhanced peroxidase-like activity
dc.typeArticle

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