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Photo-Fenton Degradation Process of Styrene in Nitrogen-Sealed Storage Tank

Yiqiang Zhao, Meng Liu, Xiaolong Xu, Chunxu Li Orcid Logo, Jiaji Cheng, Zhimeng Wang, Dong Wang, Wenjuan Qu, Shaoxiang Li

Toxics, Volume: 11, Issue: 1, Start page: 26

Swansea University Author: Chunxu Li Orcid Logo

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DOI (Published version): 10.3390/toxics11010026

Abstract

Using styrene as a proxy for VOCs, a new method was developed to remove styrene gas in nitrogen atmospheres. The effect on the styrene removal efficiency was explored by varying parameters within the continuum dynamic experimental setup, such as ferrous ion concentration, hydrogen peroxide concentra...

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Published in: Toxics
ISSN: 2305-6304
Published: MDPI AG 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa66025
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Abstract: Using styrene as a proxy for VOCs, a new method was developed to remove styrene gas in nitrogen atmospheres. The effect on the styrene removal efficiency was explored by varying parameters within the continuum dynamic experimental setup, such as ferrous ion concentration, hydrogen peroxide concentration, and pH values. The by-products are quantized by a TOC analyzer. The optimal process conditions were hydrogen peroxide at 20 mmol/L, ferrous ions at 0.3 mmol/L and pH 3, resulting in an average styrene removal efficiency of 96.23%. In addition, in this study, we construct a BAS-BP neural network model with experimental data as a sample training set, which boosts the goodness-of-fit of the BP neural network and is able to tentatively predict styrene gas residuals for different front-end conditions.
Keywords: styrene; UV/Fenton; nitrogen; VOCs; BAS-BP neural network
College: Faculty of Science and Engineering
Funders: Shandong Provincial Major Science and Technology Innovation Program (2022CXGC020401).
Issue: 1
Start Page: 26

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