Fingerprint Recognition Matrix Based on Photomultiplication-Type Organic Photodetectors with a Signal-to-Noise Ratio of 51,400

Qi Yao, Shipei Li, Yunke Qin, Xingchao Zhao, Lei Wang, Yangbing Li, Sang Young Jeong, Xiaoling Ma, Han Young Woo, Fujun Zhang*, Zhinong Yu*, Guangcai Yuan*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Large-area and highly sensitive image sensors are vital for undercell fingerprint recognition technology. The photomultiplication-type organic photodetector (PM-OPD) is one of the alternative choices due to its special active layers with the ratio of donor to acceptor by weight of about 100:3 for achieving single charge carrier transport channels, resulting in relatively low dark current density and high external quantum efficiency under low bias. The optimal PM-OPDs exhibit a maximal 2.1 × 1012 Jones specific detectivity at 610 nm under −6 V bias and a high signal-to-noise ratio of 51,400 at −5.2 V bias. Solution-processed PM-OPDs were prepared onto the top of a polycrystalline-silicon thin-film transistor readout circuit, and image sensors were successfully realized with 338 pixels resolution per inch. The electrical and optical properties of the fingerprint sensor were investigated, and high-quality fingerprint images were obtained.

源语言英语
页(从-至)15709-15717
页数9
期刊ACS Applied Materials and Interfaces
17
10
DOI
出版状态已出版 - 12 3月 2025

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Yao, Q., Li, S., Qin, Y., Zhao, X., Wang, L., Li, Y., Jeong, S. Y., Ma, X., Woo, H. Y., Zhang, F., Yu, Z., & Yuan, G. (2025). Fingerprint Recognition Matrix Based on Photomultiplication-Type Organic Photodetectors with a Signal-to-Noise Ratio of 51,400. ACS Applied Materials and Interfaces, 17(10), 15709-15717. https://doi.org/10.1021/acsami.4c21810