An integrated and automated electronic system for point-of-care protein testing
Name
EMBC2019-1.pdf
Description
Accepted version
Size
690.97 KB
Format
Unknown
Checksum (MD5)
504f674acbaae2c16f94330b8f2c7136
Author(s)
Wu, Dan
Voldman, Joel
Date Issued
July 2019
Journal
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Wu, D and Voldman, J. 2019. "An integrated and automated electronic system for point-of-care protein testing." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019.
Version
Author's final manuscript
Abstract
© 2019 IEEE. Protein testing in blood is important for clinical analysis. Traditional blood tests are performed in centralized laboratories and are slow to provide results. In contrast, point-of-care devices deliver rapid results in non-laboratory settings, allowing timely analysis and in turn reducing healthcare costs. Successful point-of-care platforms require seamless integration of chemical assays, fluid management and signal readout. In this regard, we present an integrated, compact and automated electronic system for point-of-care protein sensing. The system comprises of a microfluidics-based electrochemical biosensor, amperometry circuitry and automated microfluidic fluid handling circuitry. This platform utilizes magnetic microbeads to expedite an electronic enzyme-linked immunosorbent assay, and microfluidics to manage small volumes and automate assay operations. A commercial single-chip potentiostat is utilized for amperometry measurements and microfluidics control. Using this all-electrical system, we demonstrate an integrated and automated assay for human interleukin-6.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/EMBC.2019.8857362
