Unraveling the Linkages between Molecular Abundance and Stable Carbon Isotope Ratio in Dissolved Organic Matter Using Machine Learning.

DOM FT-ICR MS machine learning stable carbon isotope the China Coastal Environments

Journal

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

Informations de publication

Date de publication:
20 Apr 2023
Historique:
medline: 20 4 2023
pubmed: 20 4 2023
entrez: 20 04 2023
Statut: aheadofprint

Résumé

Dissolved organic matter (DOM) is a complex mixture of molecules that constitutes one of the largest reservoirs of organic matter on Earth. While stable carbon isotope values (δ

Identifiants

pubmed: 37079797
doi: 10.1021/acs.est.3c00221
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Yuanbi Yi (Y)

Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR, China.

Tongcun Liu (T)

School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China.

Julian Merder (J)

Department of Global Ecology, Carnegie Institution for Science, Stanford, California 94305, United States.

Chen He (C)

State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China.

Hongyan Bao (H)

State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China.

Penghui Li (P)

School of Marine Sciences, Sun Yat-Sen University, Zhuhai 519082, China.
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China.

Siliang Li (S)

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

Quan Shi (Q)

State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China.

Ding He (D)

Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR, China.
State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.

Classifications MeSH