Conference item
Roll-to-roll processable OTFT-based amplifier and application for pH sensing
- Abstract:
- The prospect of roll-to-roll (R2R) processable Organic Thin Film Transistors (OTFTs) and circuits has attracted attention due to their mechanical flexibility and low cost of manufacture. This work will present a flexible electronics application for pH sensing with flexible and wearable signal processing circuits. A transimpedance amplifier was designed and fabricated on a polyethylene naphthalate (PEN) substrate prototype sheet that consists of 54 transistors. Different types and current ratios of current mirrors were initially created and then a suitable simple 1:3 current mirror (200nA) was selected to present the best performance of the proposed OTFT based transimpedance amplifier (TIA). Finally, this transimpedance amplifier was connected to a customized needle-based pH sensor that was induced as microfluidic collector for potential disease diagnosis and healthcare monitoring.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 314.6KB, Terms of use)
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- Publisher copy:
- 10.1109/bsn.2019.8771092
Authors
- Publisher:
- Institute of Electrical and Electronics Engineers
- Host title:
- 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
- Journal:
- 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN= More from this journal
- Publication date:
- 2019-07-25
- Acceptance date:
- 2019-07-25
- DOI:
- ISBN:
- 9781538674772
- Keywords:
- Pubs id:
-
pubs:1038780
- UUID:
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uuid:ceaa6c17-c332-414c-98d2-ef961c75b175
- Local pid:
-
pubs:1038780
- Source identifiers:
-
1038780
- Deposit date:
-
2019-08-06
- ARK identifier:
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2019
- Notes:
- © 2019, IEEE. This paper was presented at the 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 19-22 May 2019, Chicago, IL, USA. This is the accepted manuscript version of the article. The final version is available online from Institute of Electrical and Electronics Engineers at: https://doi.org/10.1109/bsn.2019.8771092
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