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A CMOS wireless biomolecular sensing system-on-chip based on polysilicon nanowire technology
C-W Huang1, Y-J Huang, P-W Yen
1Graduate Institute of Electronics Engineering, National Taiwan University, Taipei 10617, Taiwan. sslu@cc.ee.ntu.edu.tw.
Lab on a Chip
|October 2, 2013
Summary
A novel wireless biosensor system-on-chip (bio-SSoC) integrates polysilicon nanowires with CMOS technology for on-field disease diagnosis. This system enables sensitive, label-free detection of biomarkers like Hepatitis B Virus DNA and cardiac troponin I.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Integrated Circuits
Background:
- On-field and personalized disease diagnosis is crucial for modern healthcare.
- Traditional biosensing systems often lack integration and portability.
- Advancements in complementary metal-oxide-semiconductor (CMOS) technology offer potential for integrated biosensor development.
Purpose of the Study:
- To design and fabricate a polysilicon nanowire (poly-Si NW) based biosensor system-on-chip (bio-SSoC).
- To integrate the poly-Si NW biosensor with analog-front-end (AFE), analog-to-digital converter (ADC), and microcontroller for enhanced sensing.
- To develop a wireless bio-SSoC for label-free, low-concentration biomolecular detection.
Main Methods:
- Fabrication of a poly-Si NW bio-SSoC using a 0.35 μm 2-Poly-4-Metal (2P4M) CMOS process.
- Integration of a chopper differential-difference amplifier (DDA) based AFE and a successive approximation ADC.
- Incorporation of a microcontroller and an on-off key (OOK) wireless transceiver.
Main Results:
- Experimental validation of label-free detection for Hepatitis B Virus DNA at 10 fM concentration.
- Experimental validation of label-free detection for cardiac troponin I protein at 3.2 pM concentration.
- Demonstration of good biomolecular sensing characteristics by the wireless bio-SSoC.
Conclusions:
- The developed wireless bio-SSoC harnesses CMOS integrated technology for advanced bio-diagnosis.
- This technology shows potential for low-cost, mobile, and on-field personalized biomedical diagnosis.
- The integrated system represents a promising candidate for future healthcare applications.

