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Related Experiment Video

Updated: Jun 6, 2026

Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications
11:25

Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications

Published on: April 21, 2016

A 64-channel readout ASIC for nanowire biosensor array with electrical calibration scheme.

Kevin T C Chai1, Kunil Choe, Olivier D Bernal

  • 1Integrated Circuits and Systems Laboratory, Institute of Microelectronics, A*STAR (Agency of Science, Technology and Research), Singapore. chaitc@ime.a-star.edu.sg

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
PubMed
Summary

A new 64-channel current readout application-specific integrated circuit (ASIC) and calibration method significantly enhance silicon nanowire biosensor performance. This innovation improves sensitivity and reduces device variation for more reliable nanoscale sensing.

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Area of Science:

  • * Nanotechnology
  • * Electrical Engineering
  • * Biomedical Engineering

Background:

  • * Silicon nanowire biosensors offer high sensitivity for detecting biological analytes.
  • * Variability in nanoscale sensor parameters presents a significant challenge for reliable measurements.
  • * Efficient and low-power readout electronics are crucial for practical biosensor applications.

Purpose of the Study:

  • * To develop a low-power, high-performance application-specific integrated circuit (ASIC) for silicon nanowire biosensor arrays.
  • * To introduce a novel electrical calibration technique to address sensor parameter variations.
  • * To improve the overall sensitivity and reduce data variability of silicon nanowire biosensors.

Main Methods:

  • * Implemented a 64-channel current readout ASIC in 0.18-µm CMOS technology with a power consumption of 1.8 mW.
  • * Incorporated a correlated double sampling scheme to minimize 1/f noise and analog front-end offset.
  • * Developed and applied a new electrical calibration method to optimize sensor sensitivity and mitigate device parameter variations.

Main Results:

  • * The 64-channel ASIC achieved a minimum resolution of 7 pA(rms) with a 10-bit digital output at 300 S/s.
  • * The novel calibration technique improved sensor sensitivity by 2 to 10 times.
  • * The calibration method reduced data variation between sensor datasets by a factor of 9.

Conclusions:

  • * The integrated ASIC and calibration scheme provide a robust solution for high-performance silicon nanowire biosensing.
  • * The developed calibration method effectively compensates for nanoscale sensor variations, enhancing reliability.
  • * This work paves the way for more accurate and dependable nanoscale biosensing platforms.