Analysis of amino acid enantiomers in ambient aerosols: Effects and removal of coexistent aerosol matrix.


Journal

Journal of environmental sciences (China)
ISSN: 1001-0742
Titre abrégé: J Environ Sci (China)
Pays: Netherlands
ID NLM: 100967627

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 26 10 2022
revised: 24 02 2023
accepted: 24 02 2023
medline: 27 11 2023
pubmed: 19 11 2023
entrez: 18 11 2023
Statut: ppublish

Résumé

Amino acids (AAs) including D- and L- enantiomers are a group of organic nitrogen species in ambient aerosol. Due to the low abundances of AAs (level of ng/m

Identifiants

pubmed: 37980055
pii: S1001-0742(23)00095-5
doi: 10.1016/j.jes.2023.02.048
pii:
doi:

Substances chimiques

Amino Acids 0
Aerosols 0
Alanine OF5P57N2ZX

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

732-740

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

Auteurs

Ying Li (Y)

The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.

Xiaoying Li (X)

The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.

Libin Wu (L)

Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.

Luhan Shi (L)

The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.

Shan Wang (S)

The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China; now at Hong Kong University of Science and Technology, Hong Kong 00852, China.

Pingqing Fu (P)

Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.

Yingyi Zhang (Y)

The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China. Electronic address: zhyy@scut.edu.cn.

Senchao Lai (S)

The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China. Electronic address: sclai@scut.edu.cn.

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Classifications MeSH