View in EDS

Machine learning classification of quorum sensing-induced bacterial aggregation using flow rate assays on paper chips toward bacterial species identification in potable water sources.

Saved in:
Bibliographic Details
Title: Machine learning classification of quorum sensing-induced bacterial aggregation using flow rate assays on paper chips toward bacterial species identification in potable water sources.
Authors: Choi SJ; Department of Biosystems Engineering, The University of Arizona, Tucson, AZ, 85721, United States; Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea., Lee MH; Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongsangbuk-do, 37673, Republic of Korea., Liang Y; Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, United States., Lin EC; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States., Khanthaphixay B; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States., Leigh PJ; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States., Hwang DS; Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongsangbuk-do, 37673, Republic of Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University International Campus I-CREATE, Incheon, 21983, Republic of Korea. Electronic address: dshwang@postech.ac.kr., Yoon JY; Department of Biosystems Engineering, The University of Arizona, Tucson, AZ, 85721, United States; Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, United States; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States. Electronic address: jyyoon@arizona.edu.
Source: Biosensors & bioelectronics [Biosens Bioelectron] 2025 Sep 15; Vol. 284, pp. 117563. Date of Electronic Publication: 2025 May 07.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Advanced Technology Country of Publication: England NLM ID: 9001289 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4235 (Electronic) Linking ISSN: 09565663 NLM ISO Abbreviation: Biosens Bioelectron Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40349566
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine learning classification of quorum sensing-induced bacterial aggregation using flow rate assays on paper chips toward bacterial species identification in potable water sources.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Choi+SJ%22">Choi SJ</searchLink>; Department of Biosystems Engineering, The University of Arizona, Tucson, AZ, 85721, United States; Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+MH%22">Lee MH</searchLink>; Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongsangbuk-do, 37673, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Liang+Y%22">Liang Y</searchLink>; Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, United States.<br /><searchLink fieldCode="AU" term="%22Lin+EC%22">Lin EC</searchLink>; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.<br /><searchLink fieldCode="AU" term="%22Khanthaphixay+B%22">Khanthaphixay B</searchLink>; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.<br /><searchLink fieldCode="AU" term="%22Leigh+PJ%22">Leigh PJ</searchLink>; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.<br /><searchLink fieldCode="AU" term="%22Hwang+DS%22">Hwang DS</searchLink>; Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongsangbuk-do, 37673, Republic of Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University International Campus I-CREATE, Incheon, 21983, Republic of Korea. Electronic address: dshwang@postech.ac.kr.<br /><searchLink fieldCode="AU" term="%22Yoon+JY%22">Yoon JY</searchLink>; Department of Biosystems Engineering, The University of Arizona, Tucson, AZ, 85721, United States; Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, United States; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States. Electronic address: jyyoon@arizona.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229001289%22">Biosensors & bioelectronics</searchLink> [Biosens Bioelectron] 2025 Sep 15; Vol. 284, pp. 117563. <i>Date of Electronic Publication: </i>2025 May 07.
– 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+Advanced+Technology%22">Elsevier Advanced Technology </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9001289 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-4235 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209565663%22">09565663 </searchLink><i>NLM ISO Abbreviation: </i>Biosens Bioelectron <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40349566
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.bios.2025.117563
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 117563
    Titles:
      – TitleFull: Machine learning classification of quorum sensing-induced bacterial aggregation using flow rate assays on paper chips toward bacterial species identification in potable water sources.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Choi SJ
      – PersonEntity:
          Name:
            NameFull: Lee MH
      – PersonEntity:
          Name:
            NameFull: Liang Y
      – PersonEntity:
          Name:
            NameFull: Lin EC
      – PersonEntity:
          Name:
            NameFull: Khanthaphixay B
      – PersonEntity:
          Name:
            NameFull: Leigh PJ
      – PersonEntity:
          Name:
            NameFull: Hwang DS
      – PersonEntity:
          Name:
            NameFull: Yoon JY
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 09
              Text: 2025 Sep 15
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1873-4235
          Numbering:
            – Type: volume
              Value: 284
          Titles:
            – TitleFull: Biosensors & bioelectronics
              Type: main
ResultId 1