A colorimetric CMOS-based platform for rapid total serum cholesterol quantification

Al-Rawhani, M. A. et al. (2017) A colorimetric CMOS-based platform for rapid total serum cholesterol quantification. IEEE Sensors Journal, 17(2), pp. 240-247. (doi: 10.1109/JSEN.2016.2629018)

131307.pdf - Published Version
Available under License Creative Commons Attribution.



Elevated cholesterol levels are associated with a greater risk of developing cardiovascular disease and other illnesses, making it a prime candidate for detection on a disposable biosensor for rapid point of care diagnostics. One of the methods to quantify cholesterol levels in human blood serum uses an optically mediated enzyme assay and a bench top spectrophotometer. The bulkiness and power hungry nature of the equipment limits its usage to laboratories. Here, we present a new disposable sensing platform that is based on a complementary metal oxide semiconductor process for total cholesterol quantification in pure blood serum. The platform that we implemented comprises readily mass-manufacturable components that exploit colorimetric changes of cholesterol oxidase and cholesterol esterase reactions. We have shown that our quantification results are comparable to that obtained by a bench top spectrophotometer. Using the implemented device, we have measured cholesterol concentration in human blood serum as low as 29 μM with a limit of detection at 13 μM, which is approximately 400 times lower than average physiological range, implying that our device also has the potential to be used for applications that require greater sensitivity.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Al-Rawhani, Dr Mohammed and Campbell, Mr Gordon and Gouveia, Mr Luiz and Grant, Dr James and Cumming, Professor David and Hu, Dr Chunxiao and Beeley, Dr James and MacDonald, Dr Alasdair and Barrett, Professor Michael and Cheah, Dr Boon Chong and Martin, Mr Christopher
Authors: Al-Rawhani, M. A., Cheah, B. C., MacDonald, A. I., Martin, C., Hu, C., Beeley, J., Gouveia, L. C., Grant, J. P., Campbell, G., Barrett, M. P., and Cumming, D. R.S.
College/School:College of Medical Veterinary and Life Sciences > School of Infection & Immunity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:IEEE Sensors Journal
Published Online:15 November 2016
Copyright Holders:Copyright © 2016 IEEE
First Published:First published in IEEE Sensors Journal 17(2): 240-247
Publisher Policy:Reproduced under a Creative Commons License
Data DOI:10.5525/gla.researchdata.371

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
605821The Multi-Corder: Poly-Sensor TechnologyDavid CummingEngineering & Physical Sciences Research Council (EPSRC)EP/K021966/1ENG - ENGINEERING ELECTRONICS & NANO ENG
690421Glasgow Molecular Pathology (GMP) NodeKarin OienMedical Research Council (MRC)MR/N005813/1ICS - EXPERIMENTAL THERAPEUTICS