Hu, C. , Al-Rawhani, M. A., Cheah, B. C. , Velugotla, S. and Cumming, D. R.S. (2018) Hybrid dual mode sensor for simultaneous detection of two serum metabolites. IEEE Sensors Journal, 18(2), pp. 484-493. (doi: 10.1109/JSEN.2017.2774359)
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151652.pdf - Accepted Version 2MB |
Abstract
Metabolites are the ultimate readout of disease phenotype that plays a significant role in the study of human disease. Multiple metabolites sometimes serve as biomarkers for a single metabolic disease. Therefore, simultaneous detection and analysis of those metabolites facilitate early diagnostics of the disease. Conventional approaches to detect and quantify metabolites include mass spectrometry and nuclear magnetic resonance that require bulky and expensive equipment. Here, we present a disposable sensing platform that is based on complementary metal–oxide–semiconductor process. It contains two sensors: an ion sensitive field-effect transistor and photodiode that can work independently for detection of pH and color change produced during the metabolite-enzyme reaction. Serum glucose and cholesterol have been detected and quantified simultaneously with the new platform, which shows good sensitivity within the physiological range. Low cost and easy manipulation make our device a prime candidate for personal metabolome sensing diagnostics.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Al-Rawhani, Dr Mohammed and Velugotla, Dr Srinivas and Cumming, Professor David and Cheah, Dr Boon Chong and Hu, Dr Chunxiao |
Authors: | Hu, C., Al-Rawhani, M. A., Cheah, B. C., Velugotla, S., and Cumming, D. R.S. |
College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Journal Name: | IEEE Sensors Journal |
Publisher: | IEEE |
ISSN: | 1530-437X |
ISSN (Online): | 1558-1748 |
Published Online: | 24 November 2017 |
Copyright Holders: | Copyright © 2017 IEEE |
First Published: | First published in IEEE Sensors Journal 18(2):484-493 |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
Data DOI: | 10.5525/gla.researchdata.441 |
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