TY - GEN
T1 - Physical Modelling of Large-Area Single-Molecule Organic Transistors
AU - Torricelli, Fabrizio
AU - MacChia, Eleonora
AU - Bollella, Paolo
AU - Di Franco, Cinzia
AU - Kovacs-Vajna, Zsolt M.
AU - Scamarcio, Gaetano
AU - Torsi, Luisa
N1 - BOF 15/1 EK
Funding Information:
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).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - bio-sensor
KW - modelling
KW - organic transistor
KW - single-molecule
UR - http://www.scopus.com/inward/record.url?scp=85137173208&partnerID=8YFLogxK
U2 - 10.1109/FLEPS53764.2022.9781507
DO - 10.1109/FLEPS53764.2022.9781507
M3 - Conference contribution
AN - SCOPUS:85137173208
T3 - FLEPS 2022 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings
BT - 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
PB - the Institute of Electrical and Electronics Engineers, Inc.
T2 - 2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022
Y2 - 10 July 2022 through 13 July 2022
ER -