Imperial College London

Professor Pantelis Georgiou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Biomedical Electronics
 
 
 
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Contact

 

+44 (0)20 7594 6326pantelis Website

 
 
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Location

 

902Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Moser:2020:10.1021/acs.analchem.9b05836,
author = {Moser, N and Leong, CL and Hu, Y and Cicatiello, C and Gowers, SAN and Boutelle, MG and Georgiou, P},
doi = {10.1021/acs.analchem.9b05836},
journal = {Analytical Chemistry},
pages = {5276--5285},
title = {CMOS potentiometric FET array platform using sensor learning for multi-ion imaging.},
url = {http://dx.doi.org/10.1021/acs.analchem.9b05836},
volume = {92},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This work describes an array of 1024 Ion-Sensitive Field-Effect Transistors (ISFETs) using sensor learning techniques to perform multi-ion imaging for concurrent detection of potassium, sodium, calcium and hydrogen. Analyte specific ionophore membranes are deposited on the surface of the ISFET array chip, yielding pixels with quasi-Nernstian sensitivity to K+, Na+ or Ca2+. Uncoated pixels display pH sensitivity from the standard Si3N4 passivation layer. The platform is then trained by inducing a change in single ion concentration and measuring the responses of all pixels. Sensor learning relies on k-means clustering and DBSCAN to yield membrane mapping and sensitivity of each pixel to target electrolytes. We demonstrate multi-ion imaging with an average error of 3.7 % (K+), 4.6 % (Na+), and 1.8 % (pH) for each ion respectively, while Ca2+ incurs a larger error 24.2 % and hence is included to demonstrate versatility. We validate the platform with a brain dialysate fluid sample and demonstrate reading by comparing with a gold-standard spectrometry technique.
AU - Moser,N
AU - Leong,CL
AU - Hu,Y
AU - Cicatiello,C
AU - Gowers,SAN
AU - Boutelle,MG
AU - Georgiou,P
DO - 10.1021/acs.analchem.9b05836
EP - 5285
PY - 2020///
SN - 0003-2700
SP - 5276
TI - CMOS potentiometric FET array platform using sensor learning for multi-ion imaging.
T2 - Analytical Chemistry
UR - http://dx.doi.org/10.1021/acs.analchem.9b05836
UR - https://www.ncbi.nlm.nih.gov/pubmed/32142259
UR - https://pubs.acs.org/doi/10.1021/acs.analchem.9b05836
UR - http://hdl.handle.net/10044/1/77331
VL - 92
ER -