Microsystems & Nanoengineering (May 2023)

Frequency unlocking-based MEMS bifurcation sensors

  • Yan Qiao,
  • Zhan Shi,
  • Yutao Xu,
  • Xueyong Wei,
  • Alaaeldin Elhady,
  • Eihab Abdel-Rahman,
  • Ronghua Huan,
  • Wenming Zhang

DOI
https://doi.org/10.1038/s41378-023-00522-2
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 11

Abstract

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Abstract MEMS resonators exhibit rich dynamic behaviors under the internal resonance regime. In this work, we present a novel MEMS bifurcation sensor that exploits frequency unlocking due to a 1:3 internal resonance between two electrostatically coupled micro-resonators. The proposed detection mechanism allows the sensor to operate in binary (digital) and analog modes, depending on whether the sensor merely detects a significant jump event in the peak frequency upon unlocking or measures the shift in the peak frequency after unlocking and uses it in conjunction with a calibration curve to estimate the corresponding change in stimulus. We validate the success of this sensor paradigm by experimentally demonstrating charge detection. High charge resolutions are achieved in binary mode, up to 0.137 fC, and in analog mode, up to 0.01 fC. The proposed binary sensor enables extraordinarily high detection resolutions due to the excellent frequency stability under internal resonance and the high signal-to-noise ratio of the shift in peak frequency. Our findings offer new opportunities for high-performance ultrasensitive sensors.