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Influence of polymer additional modulating layer on the selectivity performance of organic field-effect transistor based gas sensor
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Paper Abstract

Organic field-effect transistors (OFETs) using the polymer as the active layer are being intensively developed for flexible electronics including the gas sensor. However, as same as the other kinds of OFET gas sensors, its selectivity is not quite good enough. As we all know, the interfaces, including semiconductor/semiconductor and semiconductor/dielectric, play important roles in gas sensing. In this work, we introduced additional non-conjugated polymer into the polymer active layer, to modulate the selectivity of polymer-based OFET gas sensors to a certain gas. As a result, we can get two kinds of high selective gas sensors based on single polymer OFETs. Both the detection limit, response and selectivity of ammonia and nitrogen dioxide were significantly improved with different non-conjugated polymers, and the device cost was also reduced by a factor of eight as compared to that using pure polymer material. By analyzing the electrical characteristics of OFET sensors and combining with the intrinsic characteristic of the non-conjugated polymers, we systematically studied the mechanism of the performance improvement.

Paper Details

Date Published: 8 February 2019
PDF: 7 pages
Proc. SPIE 10843, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging, 108431L (8 February 2019); doi: 10.1117/12.2507350
Show Author Affiliations
Shijiao Han, Univ. of Electronic Science and Technology of China (China)
Zhirun Li, Univ. of Electronic Science and Technology of China (China)
Xinming Zhuang, Univ. of Electronic Science and Technology of China (China)
Junsheng Yu, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 10843:
9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging
Yadong Jiang; Xiaoliang Ma; Xiong Li; Mingbo Pu; Xue Feng; Bernard Kippelen, Editor(s)

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