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Multimodal Integrated Sensor Platform for Rapid Biomarker Detection

Mohammed A Al-Rawhani, Chunxiao Hu, Christos Giagkoulovits, Valerio F. Annese, Boon Chong Cheah, James Beeley, Srinivas Velugotla, Claudio Accarino, James P. Grant, Srinjoy Mitra, Michael P. Barnett, Sandy Cochran, David R S Cumming

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)614 - 623
JournalIEEE Transactions on Biomedical Engineering
Volume67
Issue number2
Early online date19 Jun 2019
DOIs
Publication statusE-pub ahead of print - 19 Jun 2019

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