Abstract
Single-Molecule organic transistors embedding a large-area bioreceptor surface can potentially revolutionize the current medical diagnostic approaches. For instance, sensing a single molecule in a biological fluid can provide early and noninvasive detection of a disease. The development of a reliable and multiplexed electronic large-area single-molecule technology urgently requires the improvement of our current understanding. Here we propose a physical model of large-area single-molecule organic transistor sensors. The model describes the electrical measurements and provides meaningful information about the sensor operation. The bioelectronic responses can be linked to the physical parameters and guidelines for device optimization are suggested.
| Original language | English |
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| Title of host publication | 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) |
| Publisher | the Institute of Electrical and Electronics Engineers, Inc. |
| ISBN (Electronic) | 9781665442732 |
| DOIs | |
| Publication status | Published - 2022 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022 - Vienna, Austria Duration: 10 Jul 2022 → 13 Jul 2022 |
Publication series
| Name | FLEPS 2022 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings |
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Conference
| Conference | 2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022 |
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| Country/Territory | Austria |
| City | Vienna |
| Period | 10/07/22 → 13/07/22 |
Funding
As displayed in the inset of Fig. 3b, is close to zero when there are no ligands in the analyte solution, it strongly increases after incubating the gate into analyte containing few molecules, it further increases when the gate is incubated at The authors would like to acknowledge the financial support of the European Commission for the projects SiMBiT (Horizon 2020 ICT, contract n°824946).
Keywords
- bio-sensor
- modelling
- organic transistor
- single-molecule