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基于蜂窝状纳米网结构的自供电p-NiO/n-ZnO异质结紫外光电探测器

Self-Powered p-NiO/n-ZnO Heterojunction Ultraviolet Photodetector Based on Honeycomb Nano-Mesh Structure.

作者信息

Wang Nan, Liu Yang, Li Mingyang, Zhao Jieting, Zhang Xiaoqi, Jiang Dayong

机构信息

School of Engineering, Changchun Normal University, Changchun 130032, China.

Engineering Research Center of Jilin Province Rare Metal Deep Processing, Changchun 130022, China.

出版信息

Sensors (Basel). 2024 Dec 3;24(23):7733. doi: 10.3390/s24237733.

DOI:10.3390/s24237733
PMID:39686270
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11644940/
Abstract

Ultraviolet (UV) photodetectors (PDs) are characterized by wide wavelength selectivity and strong anti-interference capability. The focus of research is not only limited to the adjustment of the structure composition, but it also delves deeper into its working mechanism and performance optimization. In this study, a heterojunction self-powered photodetector with a unique honeycomb structure was successfully constructed by combining the advantages of two semiconductor materials, zinc oxide (ZnO) and nickel oxide (NiO), using magnetron sputtering and hydrothermal synthesis. The detector has high responsivity, high detectivity and favorable spectral selectivity under UV irradiation. The nearly 10-fold increase in responsivity and detectivity of the detector with the introduction of the honeycomb structure under zero-bias conditions is attributed to the macroporous structure of the ZnO honeycomb nano-mesh, which increases the surface active sites and facilitates the enhancement of light trapping. This study provides significant value to the field of UV detection by improving detector performance through structural optimization.

摘要

紫外(UV)光电探测器具有宽波长选择性和强抗干扰能力。研究重点不仅局限于结构组成的调整,还深入探究其工作机制和性能优化。在本研究中,通过结合氧化锌(ZnO)和氧化镍(NiO)这两种半导体材料的优势,利用磁控溅射和水热合成法成功构建了具有独特蜂窝结构的异质结自供电光电探测器。该探测器在紫外光照射下具有高响应度、高探测率和良好的光谱选择性。在零偏压条件下,引入蜂窝结构后探测器的响应度和探测率提高了近10倍,这归因于ZnO蜂窝纳米网的大孔结构增加了表面活性位点并促进了光捕获的增强。本研究通过结构优化提高探测器性能,为紫外探测领域提供了重要价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/517c9ebaaea8/sensors-24-07733-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/60c87ea74f22/sensors-24-07733-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/be4dfe66a41f/sensors-24-07733-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/c646fd592905/sensors-24-07733-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/b89a037b2a8a/sensors-24-07733-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/d6e2abb0e7b9/sensors-24-07733-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/4badee126e7c/sensors-24-07733-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/517c9ebaaea8/sensors-24-07733-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/60c87ea74f22/sensors-24-07733-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/be4dfe66a41f/sensors-24-07733-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/c646fd592905/sensors-24-07733-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/b89a037b2a8a/sensors-24-07733-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/d6e2abb0e7b9/sensors-24-07733-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/4badee126e7c/sensors-24-07733-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be27/11644940/517c9ebaaea8/sensors-24-07733-g007.jpg

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