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)
Author(s)

Sean Fischer (Stanford University)

Dante 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
DOI related publication
https://doi.org/10.1109/LSSC.2019.2926644 Final published version
More Info
expand_more
Publication Year
2019
Language
English
Affiliation
External organisation
Issue number
6
Volume number
2
Article number
8755333
Pages (from-to)
41-44
Downloads counter
193

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.