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An AC electrokinetics facilitated biosensor cassette for rapid pathogen identification

  • Mengxing Ouyang
  • , Ruchika Mohan
  • , Yi Lu
  • , Tingting Liu
  • , Kathleen E. Mach
  • , Mandy L. Y. Sin
  • , Mason McComb
  • , Janhvi Joshi
  • , Vincent Gau
  • , Pak Kin Wong
  • , Joseph C. Liao

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    To develop a portable point-of-care system based on biosensors for common infectious diseases such as urinary tract infection, the sensing process needs to be implemented within an enclosed fluidic system. On chip sample preparation of clinical samples remains a significant obstacle to achieving robust sensor performance. Herein AC electrokinetics is applied in an electrochemical biosensor cassette to enhance molecular convection and hybridization efficiency through electrokinetics induced fluid motion and Joule heating induced temperature elevation. Using E. coli as an exemplary pathogen, we determined the optimal electrokinetic parameters for detecting bacterial 16S rRNA in the biosensor cassette based on the current output, signal-to-noise ratio, and limit of detection. In addition, a panel of six probe sets targeting common uropathogenic bacteria was demonstrated. The optimized parameters were also validated using patient-derived clinical urine samples. The effectiveness of electrokinetics for on chip sample preparation will facilitate the implementation of point-of-care diagnosis of urinary tract infection in the future.© 2013 The Royal Society of Chemistry.
    Original languageEnglish
    Pages (from-to)3660-3666
    JournalAnalyst
    Volume138
    Issue number13
    DOIs
    Publication statusPublished - 7 Jul 2013

    Bibliographical note

    Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

    Funding

    Supported by National Institutes of Health U01 AI082457 and National Science Foundation Collaborative Research Grant 0901440 (J.C.L.), and NIH DP2 OD007161 (P.K.W.) and NIH R44 AI 088756 (V.G.). Mengxing Ouyang acknowledges the financial support from Global Scholarship Programme for Research Excellence– CNOOC Grants (2011–2012) from the Chinese University of Hong Kong as a visiting student researcher to Stanford University.

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