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Rapid detection of single bacteria in unprocessed blood using Integrated Comprehensive Droplet Digital Detection

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  • Dong-Ku Kang

    (University of California–Irvine
    Sue and Bill Gross Stem Cell Research Center, University of California–Irvine
    Chao Family Comprehensive Cancer Center, University of California–Irvine
    Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California–Irvine)

  • M. Monsur Ali

    (University of California–Irvine
    Sue and Bill Gross Stem Cell Research Center, University of California–Irvine
    Chao Family Comprehensive Cancer Center, University of California–Irvine
    Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California–Irvine)

  • Kaixiang Zhang

    (University of California–Irvine
    Sue and Bill Gross Stem Cell Research Center, University of California–Irvine
    Chao Family Comprehensive Cancer Center, University of California–Irvine
    Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California–Irvine)

  • Susan S. Huang

    (School of Medicine, University of California–Irvine)

  • Ellena Peterson

    (University of California)

  • Michelle A. Digman

    (University of California–Irvine
    Laboratory for Fluorescence Dynamics, University of California
    Centre for Bioactive Discovery in Health and Ageing, School of Science and Technology, University of New England)

  • Enrico Gratton

    (University of California–Irvine
    Laboratory for Fluorescence Dynamics, University of California)

  • Weian Zhao

    (University of California–Irvine
    Sue and Bill Gross Stem Cell Research Center, University of California–Irvine
    Chao Family Comprehensive Cancer Center, University of California–Irvine
    Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California–Irvine)

Abstract

Blood stream infection or sepsis is a major health problem worldwide, with extremely high mortality, which is partly due to the inability to rapidly detect and identify bacteria in the early stages of infection. Here we present a new technology termed ‘Integrated Comprehensive Droplet Digital Detection’ (IC 3D) that can selectively detect bacteria directly from milliliters of diluted blood at single-cell sensitivity in a one-step, culture- and amplification-free process within 1.5–4 h. The IC 3D integrates real-time, DNAzyme-based sensors, droplet microencapsulation and a high-throughput 3D particle counter system. Using Escherichia coli as a target, we demonstrate that the IC 3D can provide absolute quantification of both stock and clinical isolates of E. coli in spiked blood within a broad range of extremely low concentration from 1 to 10,000 bacteria per ml with exceptional robustness and limit of detection in the single digit regime.

Suggested Citation

  • Dong-Ku Kang & M. Monsur Ali & Kaixiang Zhang & Susan S. Huang & Ellena Peterson & Michelle A. Digman & Enrico Gratton & Weian Zhao, 2014. "Rapid detection of single bacteria in unprocessed blood using Integrated Comprehensive Droplet Digital Detection," Nature Communications, Nature, vol. 5(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6427
    DOI: 10.1038/ncomms6427
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