A scalable ISFET sensing and memory array with sensor auto-calibration for on-chip real-time DNA detection
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 351
- Type
- D - Journal article
- DOI
-
10.1109/TBCAS.2017.2789161
- Title of journal
- IEEE Transactions on Biomedical Circuits and Systems
- Article number
- 2
- First page
- 390
- Volume
- 12
- Issue
- 2
- ISSN
- 1932-4545
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
10.1109/TBCAS.2017.2789161
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper represents the culmination of a decade of CMOS ISFET research, showing the lowest reported pH resolution, a robust solution to the long-standing problem of trapped charge and drift, and the reliable integration in diagnostic platforms allowing detection of DNA for the rapid identification of infectious diseases. As a result, these platforms are currently being used by clinicians for control of AMR, Dengue, Malaria and Tuberculosis in developing countries. The work, also presented in parliament (https://www.imperial.ac.uk/news/185311/all-party-parliamentary-group-malaria/), has resulted in an IEEE Sensors Council Technical Achievement Award (https://ieee-sensors.org/technical-achievement-award-in-sensor-systems-or-networks-early-pantelis-georgiou/), Rosetrees Trust Interdisciplinary award (https://rosetreestrust.co.uk/congratulations-to-cambridge-university-and-imperial-college-london/), and 12 successful grants totalling £3.7M.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
