Low-voltage, Dual-gate Organic Transistors with High-sensitivity and Stability towards Electrostatic Biosensing
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Accepted Article
Embargo End Date:
2021-08-03
Type
ArticleKAUST Department
Chemical Science ProgramKAUST Solar Center (KSC)
Physical Science and Engineering (PSE) Division
Date
2020-08-03Online Publication Date
2020-08-03Print Publication Date
2020-09-09Embargo End Date
2021-08-03Permanent link to this record
http://hdl.handle.net/10754/664569
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High levels of performance and stability have been demonstrated for conjugated polymer thin-film transistors in recent years making them promising materials for flexible electronic circuits and displays. For sensing applica-tions, however, most research efforts have been focusing on electrochemical sensing devices. Here we demonstrate a highly stable bio-sensing platform using polymer transistors based on the dual-gate mechanism. In this architec-ture a sensing signal is transduced and amplified by the capacitive coupling between a low-k bottom-dielectric and a high-k ionic elastomer top-dielectric that is in contact with an analyte solution. The new design exhibits a high signal amplification, high stability under bias-stress in various aqueous environments and low signal drift. Our platform furthermore, while responding expectedly to charged analytes such as the protein BSA, is insensitive to changes of salt concentration of the analyte solution. These features make this platform a potentially suitable tool for a variety of biosensing applications.Citation
Nikolka, M., Simatos, D., Foudeh, A., Pfattner, R., McCulloch, I., & Bao, Z. (2020). Low-voltage, Dual-gate Organic Transistors with High-sensitivity and Stability towards Electrostatic Biosensing. ACS Applied Materials & Interfaces. doi:10.1021/acsami.0c10201Sponsors
M.N. acknowledges financial support from the European Commission through a Marie-Curie Individual Fellowship (EC Grant Agreement Number: 747461). A.F. and Z.B. acknowledge support from the Stanford Catalyst Program for Collaborative Research and a seed grant from the Stanford Precision Health and Integrated Diagnosis (PHIND) program. D. S. acknowledges support by the Engineering and Physical Sciences Research Council (grant number EP/L015889/1).Publisher
American Chemical Society (ACS)Additional Links
https://pubs.acs.org/doi/10.1021/acsami.0c10201ae974a485f413a2113503eed53cd6c53
10.1021/acsami.0c10201