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Multimodal Integrated Sensor Platform for Rapid Biomarker Detection.

Authors :
Al-Rawhani MA
Hu C
Giagkoulovits C
Annese VF
Cheah BC
Beeley J
Velugotla S
Accarino C
Grant JP
Mitra S
Barrett MP
Cochran S
Cumming DRS
Source :
IEEE transactions on bio-medical engineering [IEEE Trans Biomed Eng] 2020 Feb; Vol. 67 (2), pp. 614-623. Date of Electronic Publication: 2019 Jun 19.
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.

Details

Language :
English
ISSN :
1558-2531
Volume :
67
Issue :
2
Database :
MEDLINE
Journal :
IEEE transactions on bio-medical engineering
Publication Type :
Academic Journal
Accession number :
31226063
Full Text :
https://doi.org/10.1109/TBME.2019.2919192