Molecular Engineering of Benzobisoxazole-Based Conjugated Polymers for High-Performance Organic Photodetectors and Fingerprint Image Sensors

IF 13 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Cheol Shin, WonJo Jeong, Ezgi Darici Lee, Jong Baek Park, Hyungju Ahn, Seyeon Baek, Myeong In Kim, Dae Sung Chung, Kang-Il Seo, In Hwan Jung
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引用次数: 0

Abstract

Various novel conjugated polymers (CPs) have been developed for organic photodetectors (OPDs), but their application to practical image sensors such as X-ray, R/G/B, and fingerprint sensors is rare. In this article, we report the entire process from the synthesis and molecular engineering of novel CPs to the development of OPDs and fingerprint image sensors. We synthesized six benzo[1,2-d:4,5-d']bis(oxazole) (BBO)-based CPs by modifying the alkyl side chains of the CPs. Several relationships between the molecular structure and the OPD performance were revealed, and increasing the number of linear octyl side chains on the conjugated backbone was the best way to improve Jph and reduce Jd in the OPDs. The optimized CP demonstrated promising OPD performance with a responsivity (R) of 0.22 A/W, specific detectivity (D*) of 1.05 × 1013 Jones at a bias of −1 V, rising/falling response time of 2.9/6.9 μs, and cut-off frequency (f-3dB) of 134 kHz under collimated 530 nm LED irradiation. Finally, a fingerprint image sensor was fabricated by stacking the POTB1-based OPD layer on the organic thin-film transistors (318 ppi). The image contrast caused by the valleys and ridges in the fingerprints was obtained as a digital signal.

Abstract Image

用于高性能有机光电探测器和指纹图像传感器的苯并异噁唑基共轭聚合物的分子工程学研究
目前已开发出多种用于有机光电探测器(OPD)的新型共轭聚合物(CPs),但将其应用于 X 射线、R/G/B 和指纹传感器等实用图像传感器的情况还很少见。在本文中,我们报告了从新型 CPs 的合成和分子工程到 OPD 和指纹图像传感器开发的整个过程。我们通过修改 CPs 的烷基侧链合成了六种基于苯并[1,2-d:4,5-d']双(恶唑)(BBO)的 CPs。研究揭示了分子结构与 OPD 性能之间的一些关系,其中增加共轭骨架上线性辛基侧链的数量是提高 OPD 的 Jph 和降低 Jd 的最佳方法。优化后的 CP 具有良好的 OPD 性能,在准直 530 nm LED 照射下,响应率(R)为 0.22 A/W,比检测率(D*)为 1.05 × 1013 Jones,上升/下降响应时间为 2.9/6.9 μs,截止频率(f-3dB)为 134 kHz。最后,通过在有机薄膜晶体管(318 ppi)上堆叠基于 POTB1 的 OPD 层,制造出了指纹图像传感器。指纹中的山谷和山脊所产生的图像对比度以数字信号的形式被获取。
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来源期刊
Energy & Environmental Materials
Energy & Environmental Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
17.60
自引率
6.00%
发文量
66
期刊介绍: Energy & Environmental Materials (EEM) is an international journal published by Zhengzhou University in collaboration with John Wiley & Sons, Inc. The journal aims to publish high quality research related to materials for energy harvesting, conversion, storage, and transport, as well as for creating a cleaner environment. EEM welcomes research work of significant general interest that has a high impact on society-relevant technological advances. The scope of the journal is intentionally broad, recognizing the complexity of issues and challenges related to energy and environmental materials. Therefore, interdisciplinary work across basic science and engineering disciplines is particularly encouraged. The areas covered by the journal include, but are not limited to, materials and composites for photovoltaics and photoelectrochemistry, bioprocessing, batteries, fuel cells, supercapacitors, clean air, and devices with multifunctionality. The readership of the journal includes chemical, physical, biological, materials, and environmental scientists and engineers from academia, industry, and policy-making.
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