Low-Noise Integrated Potentiostat for Affinity-Free Protein Detection with 12 nV/rt-Hz at 30 Hz and 1.8 pArms Resolution

Journal Article (2019)
Authors

Sean Fischer (Stanford University)

Dante G. Muratore (Stanford University)

Stephen Weinreich (Stanford University)

Aldo Pena-Perez (Stanford Synchrotron Laboratory)

Ross M. Walker (University of Utah)

Chaitanya Gupta (ProbiusDx Inc.)

Roger T. Howe (Stanford University)

Boris Murmann (Stanford University)

Affiliation
External organisation
To reference this document use:
https://doi.org/10.1109/LSSC.2019.2926644
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Publication Year
2019
Language
English
Affiliation
External organisation
Issue number
6
Volume number
2
Pages (from-to)
41-44
DOI:
https://doi.org/10.1109/LSSC.2019.2926644

Abstract

This letter presents a low-noise integrated potentiostat for affinity-free molecular detection in applications for personalized medicine. The affinity-free sensing technique uses a digital classifier to identify molecules through unique vibrational signatures. The sensing mechanism relies on coherent interference of electron wave functions at the interface between a nanoscale working electrode and a liquid electrolyte. Coherence at the sensing interface is enabled by low-noise feedback, which reduces the effective temperature of the electrons. The described three-channel potentiostat IC uses chopping and correlated double sampling to achieve an input-referred voltage noise of 12 nV/rt-Hz at 30 Hz and a current resolution of 1.8 pArms with 0.5-s averaging time. Each channel consumes 5 mW and occupies 0.41 mm2 in 65-nm CMOS.

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