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

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

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.

• Language: English
• Keywords: N-methyl-2-pyrrolidone, kinetics, artificial neural network modelling, radical quenching, artificial neural network, UV, PMS
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FKKT - Faculty of Chemistry and Chemical Technology
• Publication status: Published
• Publication version: Version of Record
• Year: 2022
• Number of pages: 12 str.
• Numbering: Vol. 434, art. 128807
• PID: 20.500.12556/RUL-137653
• UDC: 544.526.2
• ISSN on article: 0304-3894
• DOI: 10.1016/j.jhazmat.2022.128807
• COBISS.SI-ID: 103104515
• Publication date in RUL: 24.06.2022

Record is a part of a journal

• Title: Journal of hazardous materials
• Shortened title: J. hazard. mater.
• Publisher: Elsevier
• ISSN: 0304-3894
• COBISS.SI-ID: 25748224

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: N-metil-2-pirolidon, PMS, UV, kinetika, umetno modeliranje nevralnih omrežij