Exploring Pathways and Mechanisms for Dichloroacetonitrile Formation from Typical Amino Compounds during UV/Chlorine Treatment.


Journal

Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155

Informations de publication

Date de publication:
05 07 2022
Historique:
pubmed: 16 6 2022
medline: 8 7 2022
entrez: 15 6 2022
Statut: ppublish

Résumé

The formation of disinfection byproducts (DBPs) during UV/chlorine treatment, especially nitrogenous DBPs, is not well understood. This study investigated the formation mechanisms for dichloroacetonitrile (DCAN) from typical amino compounds during UV/chlorine treatment. Compared to chlorination, the yields of DCAN increase by 88-240% during UV/chlorine treatment from real waters, while the yields of DCAN from amino compounds increase by 3.3-5724 times. Amino compounds with electron-withdrawing side chains show much higher DCAN formation than those with electron-donating side chains. Phenylethylamine, l- phenylalanine, and l-phenylalanyl-l-phenylalanine were selected to represent amines, amino acids, and peptides, respectively, to investigate the formation pathways for DCAN during UV/chlorine treatment. First, chlorination of amines, amino acids, and peptides rapidly forms

Identifiants

pubmed: 35703371
doi: 10.1021/acs.est.2c01495
doi:

Substances chimiques

Acetonitriles 0
Amino Acids 0
Chloramines 0
Phenethylamines 0
Water Pollutants, Chemical 0
Phenylalanine 47E5O17Y3R
Chlorine 4R7X1O2820
dichloroacetonitrile O0L64V63M9

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9712-9721

Auteurs

Zhechao Hua (Z)

Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China.

Junfang Li (J)

Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China.

Zhihong Zhou (Z)

Guangzhou Ecological Environmental Monitoring Center, Guangzhou 510006, China.

Shanshan Zheng (S)

Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.

Yifei Zhang (Y)

Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China.

Jingyun Fang (J)

Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China.

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Classifications MeSH