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Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP) : influence of matrix components, kinetic study and artificial neural network modelling
ID
Kumar, Praveen
(
Author
),
ID
Verma, Shilpi
(
Author
),
ID
Kaur, Ramanpreet
(
Author
),
ID
Papac, Josipa
(
Author
),
ID
Kušić, Hrvoje
(
Author
),
ID
Lavrenčič Štangar, Urška
(
Author
)
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MD5: 04365083B950E75708A17A7275151F8C
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https://www.sciencedirect.com/science/article/pii/S0304389422005969
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Abstract
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
Views:
669
Downloads:
152
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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
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P1-0134
Name:
Kemija za trajnostni razvoj
Funder:
Other - Other funder or multiple funders
Funding programme:
Slovenia, Ministry of Education, Science and Sport
Project number:
C3330–19-952015
Funder:
EC - European Commission
Funding programme:
European Regional Development Fund
Funder:
ARRS - Slovenian Research Agency
Project number:
N2-0188
Name:
Katalitsko in fotokatalitsko aktivni materiali za pretvorbo CO2 v koristne produkte
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