Improved Understanding of Dissolved Organic Matter Processing in Freshwater Using Complementary Experimental and Machine Learning Approaches.
Journal
Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155
Informations de publication
Date de publication:
03 11 2020
03 11 2020
Historique:
pubmed:
24
9
2020
medline:
5
2
2021
entrez:
23
9
2020
Statut:
ppublish
Résumé
Dissolved organic matter plays an important role in aquatic ecosystems and poses a major problem for drinking water production. However, our understanding of DOM reactivity in natural systems is hampered by its complex molecular composition. Here, we used Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and data from two independent studies to disentangle DOM reactivity based on photochemical and microbial-induced transformations. Robust correlations of FT-ICR-MS peak intensities with chlorophyll
Identifiants
pubmed: 32966053
doi: 10.1021/acs.est.0c02383
doi:
Substances chimiques
Drinking Water
0
Chlorophyll A
YF5Q9EJC8Y
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM