Multimodal integrated sensor platform for rapid biomarker detection

Autor: Chunxiao Hu, V. F. Annese, Christos Giagkoulovits, David R. S. Cumming, Michael P. Barrett, Claudio Accarino, Boon Chong Cheah, Sandy Cochran, Srinivas Velugotla, Mohammed A. Al-Rawhani, Srinjoy Mitra, James Grant, James Beeley
Jazyk: angličtina
Rok vydání: 2020
Předmět:
ISSN: 0018-9294
Popis: 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.
Databáze: OpenAIRE