Study of the kinetics, mechanisms and catalysis activity of photo-electro degradation of organic pollutants via new neural network based methodology
(2023) In Applied Catalysis B: Environmental 323.- Abstract
- A novel calculation methodology containing modeling and statistics was developed to assist the experimental process for the investigation of organics treatment process. A continuous-flow photo-electro treatment of Norfloxacin (NOR) was chosen as a target subject. The methodology is based on a new synergistic work of reaction energy calculation, full-scanned neural network (NN) simulation and new physical kinetics modeling. Degradation kinetics, mechanisms and activity of degradation catalyst, etc., were studied. As a result, the reaction energy calculation figured out eight potential degradation pathways of NOR with the corresponding intermediate. NN process with fully scanned parameters showed dominating advantage compared to non-linear... (More)
- A novel calculation methodology containing modeling and statistics was developed to assist the experimental process for the investigation of organics treatment process. A continuous-flow photo-electro treatment of Norfloxacin (NOR) was chosen as a target subject. The methodology is based on a new synergistic work of reaction energy calculation, full-scanned neural network (NN) simulation and new physical kinetics modeling. Degradation kinetics, mechanisms and activity of degradation catalyst, etc., were studied. As a result, the reaction energy calculation figured out eight potential degradation pathways of NOR with the corresponding intermediate. NN process with fully scanned parameters showed dominating advantage compared to non-linear regression and first-order law in simulation work. With the obtained database from NN, the new physical model successfully distributed degradation contribution into direct, indirect and water flow routes. The new methodology helped to gain more valuable information with less experimental work, which guided the efficient and greener investigation process in corresponding studies. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/84ae92a6-5f5a-4dd7-8773-3bf9b99d0e0f
- author
- Yu, Han LU ; Zhang, Zhenzong ; Zhan, Sihui ; Song, Shuyan ; Sun, Shengmin ; Zhang, Hui LU ; Zhang, Linus LU and Yu, Hongbing
- organization
- publishing date
- 2023-04
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Photo-electro treatment, Organics degradation, Modeling, Grey relation analysis, Principal component analysis
- in
- Applied Catalysis B: Environmental
- volume
- 323
- article number
- 122184
- pages
- 11 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85142137282
- ISSN
- 0926-3373
- DOI
- 10.1016/j.apcatb.2022.122184
- language
- English
- LU publication?
- yes
- id
- 84ae92a6-5f5a-4dd7-8773-3bf9b99d0e0f
- date added to LUP
- 2022-11-22 11:37:15
- date last changed
- 2023-01-31 11:23:16
@article{84ae92a6-5f5a-4dd7-8773-3bf9b99d0e0f, abstract = {{A novel calculation methodology containing modeling and statistics was developed to assist the experimental process for the investigation of organics treatment process. A continuous-flow photo-electro treatment of Norfloxacin (NOR) was chosen as a target subject. The methodology is based on a new synergistic work of reaction energy calculation, full-scanned neural network (NN) simulation and new physical kinetics modeling. Degradation kinetics, mechanisms and activity of degradation catalyst, etc., were studied. As a result, the reaction energy calculation figured out eight potential degradation pathways of NOR with the corresponding intermediate. NN process with fully scanned parameters showed dominating advantage compared to non-linear regression and first-order law in simulation work. With the obtained database from NN, the new physical model successfully distributed degradation contribution into direct, indirect and water flow routes. The new methodology helped to gain more valuable information with less experimental work, which guided the efficient and greener investigation process in corresponding studies.}}, author = {{Yu, Han and Zhang, Zhenzong and Zhan, Sihui and Song, Shuyan and Sun, Shengmin and Zhang, Hui and Zhang, Linus and Yu, Hongbing}}, issn = {{0926-3373}}, keywords = {{Photo-electro treatment; Organics degradation; Modeling; Grey relation analysis; Principal component analysis}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Applied Catalysis B: Environmental}}, title = {{Study of the kinetics, mechanisms and catalysis activity of photo-electro degradation of organic pollutants via new neural network based methodology}}, url = {{http://dx.doi.org/10.1016/j.apcatb.2022.122184}}, doi = {{10.1016/j.apcatb.2022.122184}}, volume = {{323}}, year = {{2023}}, }