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Precision ultrasound sensing on a chip

Author

Listed:
  • Sahar Basiri-Esfahani

    (The University of Queensland
    Swansea University, Singleton Park)

  • Ardalan Armin

    (The University of Queensland
    Swansea University, Singleton Park)

  • Stefan Forstner

    (The University of Queensland)

  • Warwick P. Bowen

    (The University of Queensland)

Abstract

Ultrasound sensors have wide applications across science and technology. However, improved sensitivity is required for both miniaturisation and increased spatial resolution. Here, we introduce cavity optomechanical ultrasound sensing, where dual optical and mechanical resonances enhance the ultrasound signal. We achieve noise equivalent pressures of 8–300 μPa Hz−1/2 at kilohertz to megahertz frequencies in a microscale silicon-chip-based sensor with >120 dB dynamic range. The sensitivity far exceeds similar sensors that use an optical resonance alone and, normalised to the sensing area, surpasses previous air-coupled ultrasound sensors by several orders of magnitude. The noise floor is dominated by collisions from molecules in the gas within which the acoustic wave propagates. This approach to acoustic sensing could find applications ranging from biomedical diagnostics, to autonomous navigation, trace gas sensing, and scientific exploration of the metabolism-induced-vibrations of single cells.

Suggested Citation

  • Sahar Basiri-Esfahani & Ardalan Armin & Stefan Forstner & Warwick P. Bowen, 2019. "Precision ultrasound sensing on a chip," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-018-08038-4
    DOI: 10.1038/s41467-018-08038-4
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    Cited by:

    1. Jingkun Guo & Jin Chang & Xiong Yao & Simon Gröblacher, 2023. "Active-feedback quantum control of an integrated low-frequency mechanical resonator," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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