Enhancing identification confidence in non-targeted screening of emerging contaminants via an ensemble retention time prediction model: Applications in screening and ecological risk assessment.

Saved in:
Bibliographic Details
Title: Enhancing identification confidence in non-targeted screening of emerging contaminants via an ensemble retention time prediction model: Applications in screening and ecological risk assessment.
Authors: Liu Y; Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, Guangdong Provincial Engineering Technology Research Center for Drug and Food Biological Resources Processing and Comprehensive Utilization, School of Life Sciences, South China Normal University, Guangzhou, 510631, China; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China., Liu HC; Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China., Chen TH; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China., Deng JP; Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, Guangdong Provincial Engineering Technology Research Center for Drug and Food Biological Resources Processing and Comprehensive Utilization, School of Life Sciences, South China Normal University, Guangzhou, 510631, China., Fan RF; Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, Guangdong Provincial Engineering Technology Research Center for Drug and Food Biological Resources Processing and Comprehensive Utilization, School of Life Sciences, South China Normal University, Guangzhou, 510631, China., Kuang HX; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China. Electronic address: 2016022192@m.scnu.edu.cn., Yu YJ; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China.
Source: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2026 Feb 01; Vol. 390, pp. 127476. Date of Electronic Publication: 2025 Dec 02.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 8804476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6424 (Electronic) Linking ISSN: 02697491 NLM ISO Abbreviation: Environ Pollut Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41344631
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing identification confidence in non-targeted screening of emerging contaminants via an ensemble retention time prediction model: Applications in screening and ecological risk assessment.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, Guangdong Provincial Engineering Technology Research Center for Drug and Food Biological Resources Processing and Comprehensive Utilization, School of Life Sciences, South China Normal University, Guangzhou, 510631, China; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China.<br /><searchLink fieldCode="AU" term="%22Liu+HC%22">Liu HC</searchLink>; Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.<br /><searchLink fieldCode="AU" term="%22Chen+TH%22">Chen TH</searchLink>; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China.<br /><searchLink fieldCode="AU" term="%22Deng+JP%22">Deng JP</searchLink>; Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, Guangdong Provincial Engineering Technology Research Center for Drug and Food Biological Resources Processing and Comprehensive Utilization, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.<br /><searchLink fieldCode="AU" term="%22Fan+RF%22">Fan RF</searchLink>; Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, Guangdong Provincial Engineering Technology Research Center for Drug and Food Biological Resources Processing and Comprehensive Utilization, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.<br /><searchLink fieldCode="AU" term="%22Kuang+HX%22">Kuang HX</searchLink>; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China. Electronic address: 2016022192@m.scnu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Yu+YJ%22">Yu YJ</searchLink>; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228804476%22">Environmental pollution (Barking, Essex : 1987)</searchLink> [Environ Pollut] 2026 Feb 01; Vol. 390, pp. 127476. <i>Date of Electronic Publication: </i>2025 Dec 02.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Applied+Science+Publishers%22">Elsevier Applied Science Publishers </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8804476 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-6424 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2202697491%22">02697491 </searchLink><i>NLM ISO Abbreviation: </i>Environ Pollut <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41344631
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.envpol.2025.127476
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 127476
    Titles:
      – TitleFull: Enhancing identification confidence in non-targeted screening of emerging contaminants via an ensemble retention time prediction model: Applications in screening and ecological risk assessment.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu Y
      – PersonEntity:
          Name:
            NameFull: Liu HC
      – PersonEntity:
          Name:
            NameFull: Chen TH
      – PersonEntity:
          Name:
            NameFull: Deng JP
      – PersonEntity:
          Name:
            NameFull: Fan RF
      – PersonEntity:
          Name:
            NameFull: Kuang HX
      – PersonEntity:
          Name:
            NameFull: Yu YJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2026 Feb 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1873-6424
          Numbering:
            – Type: volume
              Value: 390
          Titles:
            – TitleFull: Environmental pollution (Barking, Essex : 1987)
              Type: main
ResultId 1