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Machine Learning Tools Can Pinpoint High-Risk Water Pollutants

Affiliation
Department of Materials and Environmental Chemistry, Stockholm University, Svante Arrhenius väg 16, 106 91 Stockholm, Sweden;(H.S.);(P.P.);
Sepman, Helen;
GND
1331495261
Affiliation
Department of Materials and Environmental Chemistry, Stockholm University, Svante Arrhenius väg 16, 106 91 Stockholm, Sweden;(H.S.);(P.P.);
Peets, Pilleriin;
Affiliation
Department of Materials and Environmental Chemistry, Stockholm University, Svante Arrhenius väg 16, 106 91 Stockholm, Sweden;(H.S.);(P.P.);
Jonsson, Lisa;
ORCID
0000-0002-0205-7524
Affiliation
Department of Materials and Environmental Chemistry, Stockholm University, Svante Arrhenius väg 16, 106 91 Stockholm, Sweden;(H.S.);(P.P.);
Malm, Louise;
Affiliation
Department of Environmental Science, Stockholm University, Svante Arrhenius väg 8, 106 91 Stockholm, Sweden(M.M.);
Posselt, Malte;
Affiliation
Department of Environmental Science, Stockholm University, Svante Arrhenius väg 8, 106 91 Stockholm, Sweden(M.M.);
MacLeod, Matthew;
ORCID
0000-0001-6265-4294
Affiliation
Department of Environmental Science, Stockholm University, Svante Arrhenius väg 8, 106 91 Stockholm, Sweden(M.M.);
Martin, Jonathan;
Affiliation
Department of Environmental Science, Stockholm University, Svante Arrhenius väg 8, 106 91 Stockholm, Sweden(M.M.);
Breitholtz, Magnus;
Affiliation
Department of Environmental Science, Stockholm University, Svante Arrhenius väg 8, 106 91 Stockholm, Sweden(M.M.);
McLachlan, Michael;
ORCID
0000-0001-9725-3351
Affiliation
Department of Materials and Environmental Chemistry, Stockholm University, Svante Arrhenius väg 16, 106 91 Stockholm, Sweden;(H.S.);(P.P.);
Kruve, Anneli

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Published in:
Proceedings
Vol. 92, No. 1 (30.11.2023)
Volume:
92
No.:
1
Date Issued:
30.11.2023
URN:
urn:nbn:de:gbv:27-dbt-20240418-140741-006
DOI:
10.3390/proceedings2023092068
Language:
English
Type of Resource:
Text
Extent:
2 Seiten
Keywords:
  1. high-resolution mass spectrometry
    Typ
    Schlagwort
  1. toxicity
    Typ
    Schlagwort
  1. quantification
    Typ
    Schlagwort
  1. machine learning
    Typ
    Schlagwort
  1. non-targeted screening
    Typ
    Schlagwort
  1. suspect screening
    Typ
    Schlagwort
  1. risk assessment
    Typ
    Schlagwort
DDC subject of DNB:
600 Technology (Applied sciences)
Hosting institution:
Friedrich-Schiller-Universität Jena, Fakultät für Biowissenschaften
note:
Zweitveröffentlichung

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License Holder: © 2023 by the authors.

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