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Multimodal Integrated Sensor Platform for Rapid Biomarker Detection.

Authors :
Al-Rawhani, Mohammed A.
Mitra, Srinjoy
Barrett, Michael P.
Cochran, Sandy
Cumming, David R. S.
Hu, Chunxiao
Giagkoulovits, Christos
Annese, Valerio F.
Cheah, Boon Chong
Beeley, James
Velugotla, Srinivas
Accarino, Claudio
Grant, James P.
Source :
IEEE Transactions on Biomedical Engineering. Feb2020, Vol. 67 Issue 2, p614-623. 10p.
Publication Year :
2020

Abstract

Precision metabolomics and quantification for cost-effective rapid diagnosis of disease are the key goals in personalized medicine and point-of-care testing. At present, patients are subjected to multiple test procedures requiring large laboratory equipment. Microelectronics has already made modern computing and communications possible by integration of complex functions within a single chip. As More than Moore technology increases in importance, integrated circuits for densely patterned sensor chips have grown in significance. Here, we present a versatile single complementary metal–oxide–semiconductor chip forming a platform to address personalized needs through on-chip multimodal optical and electrochemical detection that will reduce the number of tests that patients must take. The chip integrates interleaved sensing subsystems for quadruple-mode colorimetric, chemiluminescent, surface plasmon resonance, and hydrogen ion measurements. These subsystems include a photodiode array and a single photon avalanche diode array with some elements functionalized to introduce a surface plasmon resonance mode. The chip also includes an array of ion sensitive field-effect transistors. The sensor arrays are distributed uniformly over an active area on the chip surface in a scalable and modular design. Bio-functionalization of the physical sensors yields a highly selective simultaneous multiple-assay platform in a disposable format. We demonstrate its versatile capabilities through quantified bio-assays performed on-chip for glucose, cholesterol, urea, and urate, each within their naturally occurring physiological range. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189294
Volume :
67
Issue :
2
Database :
Academic Search Index
Journal :
IEEE Transactions on Biomedical Engineering
Publication Type :
Academic Journal
Accession number :
141418552
Full Text :
https://doi.org/10.1109/TBME.2019.2919192