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Digital plasmonic nanobubble detection for rapid and ultrasensitive virus diagnostics

Author

Listed:
  • Yaning Liu

    (University of Texas at Dallas)

  • Haihang Ye

    (University of Texas at Dallas)

  • HoangDinh Huynh

    (University of Texas Southwestern Medical Center)

  • Chen Xie

    (University of Texas at Dallas)

  • Peiyuan Kang

    (University of Texas at Dallas)

  • Jeffrey S. Kahn

    (University of Texas Southwestern Medical Center
    University of Texas Southwestern Medical Center)

  • Zhenpeng Qin

    (University of Texas Southwestern Medical Center
    University of Texas at Dallas
    University of Texas at Dallas)

Abstract

Rapid and sensitive diagnostics of infectious diseases is an urgent and unmet need as evidenced by the COVID-19 pandemic. Here, we report a strategy, based on DIgitAl plasMONic nanobubble Detection (DIAMOND), to address this need. Plasmonic nanobubbles are transient vapor bubbles generated by laser heating of plasmonic nanoparticles (NPs) and allow single-NP detection. Using gold NPs as labels and an optofluidic setup, we demonstrate that DIAMOND achieves compartment-free digital counting and works on homogeneous immunoassays without separation and amplification steps. DIAMOND allows specific detection of respiratory syncytial virus spiked in nasal swab samples and achieves a detection limit of ~100 PFU/mL (equivalent to 1 RNA copy/µL), which is competitive with digital isothermal amplification for virus detection. Therefore, DIAMOND has the advantages including one-step and single-NP detection, direct sensing of intact viruses at room temperature, and no complex liquid handling, and is a platform technology for rapid and ultrasensitive diagnostics.

Suggested Citation

  • Yaning Liu & Haihang Ye & HoangDinh Huynh & Chen Xie & Peiyuan Kang & Jeffrey S. Kahn & Zhenpeng Qin, 2022. "Digital plasmonic nanobubble detection for rapid and ultrasensitive virus diagnostics," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29025-w
    DOI: 10.1038/s41467-022-29025-w
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    References listed on IDEAS

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    1. Emiel W. A. Visser & Junhong Yan & Leo J. IJzendoorn & Menno W. J. Prins, 2018. "Continuous biomarker monitoring by particle mobility sensing with single molecule resolution," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
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