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Continuous biomarker monitoring by particle mobility sensing with single molecule resolution

Author

Listed:
  • Emiel W. A. Visser

    (Eindhoven University of Technology
    Eindhoven University of Technology)

  • Junhong Yan

    (Eindhoven University of Technology
    Eindhoven University of Technology)

  • Leo J. IJzendoorn

    (Eindhoven University of Technology
    Eindhoven University of Technology)

  • Menno W. J. Prins

    (Eindhoven University of Technology
    Eindhoven University of Technology
    Eindhoven University of Technology)

Abstract

Healthcare is in demand of technologies for real-time sensing in order to continuously guard the state of patients. Here we present biomarker-monitoring based on the sensing of particle mobility, a concept wherein particles are coupled to a substrate via a flexible molecular tether, with both the particles and substrate provided with affinity molecules for effectuating specific and reversible interactions. Single-molecular binding and unbinding events modulate the Brownian particle motion and the state changes are recorded using optical scattering microscopy. The technology is demonstrated with DNA and protein as model biomarkers, in buffer and in blood plasma, showing sensitivity to picomolar and nanomolar concentrations. The sensing principle is direct and self-contained, without consuming or producing any reactants. With its basis in reversible interactions and single-molecule resolution, we envisage that the presented technology will enable biosensors for continuous biomarker monitoring with high sensitivity, specificity, and accuracy.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04802-8
    DOI: 10.1038/s41467-018-04802-8
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    Cited by:

    1. 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.
    2. Alissa D. Buskermolen & Yu-Ting Lin & Laura Smeden & Rik B. Haaften & Junhong Yan & Khulan Sergelen & Arthur M. Jong & Menno W. J. Prins, 2022. "Continuous biomarker monitoring with single molecule resolution by measuring free particle motion," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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