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

Kumar, Praveen (avtor), Verma, Shilpi (avtor), Kaur, Ramanpreet (avtor), Papac, Josipa (avtor), Kušić, Hrvoje (avtor), Lavrenčič Štangar, Urška (avtor)

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 (SO$_4$$^•$$^−$) and hydroxyl (HO$^•$) radicals in the UV-C photolysis treatment system. The operational parameters such as initial pH and concentration of NMP and PMS and water matrix elements were studied to understand their effects on degradation. At pH = 6.3, λ = 260 nm, initial concentration of NMP = 10 mg/L, PMS = 300 mg/L and carbonate ion = 150 mg/L, the degradation of NMP was found to be 97.5%, along with 26.86% of TOC removal. The bicarbonate ions, nitrate ions, and chloride ions showed the inhibitory effect on the degradation of NMP. The NMP degradation was governed by pseudo first order kinetics. SO$_4$$^•$$^−$ 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 R$^2$ 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.

• Jezik: Angleški jezik
• Ključne besede: N-methyl-2-pyrrolidone, kinetics, artificial neural network modelling, radical quenching, artificial neural network, UV, PMS
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FKKT - Fakulteta za kemijo in kemijsko tehnologijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: 12 str.
• Številčenje: Vol. 434, art. 128807
• PID: 20.500.12556/RUL-137653
• UDK: 544.526.2
• ISSN pri članku: 0304-3894
• DOI: 10.1016/j.jhazmat.2022.128807
• COBISS.SI-ID: 103104515
• Datum objave v RUL: 24.06.2022

Gradivo je del revije

• Naslov: Journal of hazardous materials
• Skrajšan naslov: J. hazard. mater.
• Založnik: Elsevier
• ISSN: 0304-3894
• COBISS.SI-ID: 25748224

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: N-metil-2-pirolidon, PMS, UV, kinetika, umetno modeliranje nevralnih omrežij