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Pregled bibliografske jedinice broj: 1201153

Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling

Kumar, Praveen; Verma, Shilpi; Kaur, Ramanpreet; Papac, Josipa; Kušić, Hrvoje; Lavrenčič Štangar, Urška
Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling // Journal of hazardous materials, 434 (2022), 128807, 12 doi:10.1016/j.jhazmat.2022.128807 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1201153 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling

Autori
Kumar, Praveen ; Verma, Shilpi ; Kaur, Ramanpreet ; Papac, Josipa ; Kušić, Hrvoje ; Lavrenčič Štangar, Urška

Izvornik
Journal of hazardous materials (0304-3894) 434 (2022); 128807, 12

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
N-methyl-2-pyrrolidone ; PMS ; UV ; kinetics ; radical quenching ; artificial neural network

Sažetak
This study investigates the degradation of N-methyl-2-pyrrolidone (NMP) by UV-C and UV-C/PMS-treatment processes. The degradation of NMP was less than 2% by UV-C photolysis. To enhance the degradation, PMS was used as a source of sulphate (SO4• −) and hydroxyl (HO•) radicals in the UV-C photolysis treatment system. The operational parameters such as initial pH and concentration of NMP and PMS and water matrix elements were studied to understand their effects on degradation. At pH = 6.3, λ = 260 nm, initial concentration of NMP = 10 mg/L, PMS = 300 mg/L and carbonate ion = 150 mg/L, the degradation of NMP was found to be 97.5%, along with 26.86% of TOC removal. The bicarbonate ions, nitrate ions, and chloride ions showed the inhibitory effect on the degradation of NMP. The NMP degradation was governed by pseudo first order kinetics. SO4• − was found to be the dominating degradation species through the radical quenching studies. The intermediates formed during the degradation were identified through LC-MS analysis, and a degradation pathway was proposed. The experimental data was successfully validated through the application of the developed ANN model. The R2 between expected and experimental outcomes was 0.97. The developed ANN model was successful in predicting the degradation of NMP in the given reaction conditions with the prediction accuracy of 90.91% and RMSE of 3.54.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA

Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb

Profili:

Avatar Url Josipa Papac (autor)

Avatar Url Hrvoje Kušić (autor)

Poveznice na cjeloviti tekst rada:

doi dx.doi.org www.sciencedirect.com

Citiraj ovu publikaciju:

Kumar, Praveen; Verma, Shilpi; Kaur, Ramanpreet; Papac, Josipa; Kušić, Hrvoje; Lavrenčič Štangar, Urška
Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling // Journal of hazardous materials, 434 (2022), 128807, 12 doi:10.1016/j.jhazmat.2022.128807 (međunarodna recenzija, članak, znanstveni)
Kumar, P., Verma, S., Kaur, R., Papac, J., Kušić, H. & Lavrenčič Štangar, U. (2022) Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling. Journal of hazardous materials, 434, 128807, 12 doi:10.1016/j.jhazmat.2022.128807.
@article{article, author = {Kumar, Praveen and Verma, Shilpi and Kaur, Ramanpreet and Papac, Josipa and Ku\v{s}i\'{c}, Hrvoje and Lavren\v{c}i\v{c} \v{S}tangar, Ur\v{s}ka}, year = {2022}, pages = {12}, DOI = {10.1016/j.jhazmat.2022.128807}, chapter = {128807}, keywords = {N-methyl-2-pyrrolidone, PMS, UV, kinetics, radical quenching, artificial neural network}, journal = {Journal of hazardous materials}, doi = {10.1016/j.jhazmat.2022.128807}, volume = {434}, issn = {0304-3894}, title = {Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling}, keyword = {N-methyl-2-pyrrolidone, PMS, UV, kinetics, radical quenching, artificial neural network}, chapternumber = {128807} }
@article{article, author = {Kumar, Praveen and Verma, Shilpi and Kaur, Ramanpreet and Papac, Josipa and Ku\v{s}i\'{c}, Hrvoje and Lavren\v{c}i\v{c} \v{S}tangar, Ur\v{s}ka}, year = {2022}, pages = {12}, DOI = {10.1016/j.jhazmat.2022.128807}, chapter = {128807}, keywords = {N-methyl-2-pyrrolidone, PMS, UV, kinetics, radical quenching, artificial neural network}, journal = {Journal of hazardous materials}, doi = {10.1016/j.jhazmat.2022.128807}, volume = {434}, issn = {0304-3894}, title = {Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling}, keyword = {N-methyl-2-pyrrolidone, PMS, UV, kinetics, radical quenching, artificial neural network}, chapternumber = {128807} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE

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  • CA Search (Chemical Abstracts)

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