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