(Peer-Reviewed) Recent developments in deep-ultraviolet sterilization of human respiratory RNA viruses
Tingzhu Wu 吴挺竹 ¹ ², Shouqiang Lai 赖寿强 ¹, Zhong Chen 陈忠 ¹ ², Hao-Chung Kuo 郭浩中 ³ ⁴
¹ National Integrated Circuit Industry and Education Integration Innovation Platform, Department of Electronic Science, Xiamen University, Xiamen 361005, China
中国 厦门 厦门大学电子科学系 国家集成电路产教融合创新平台
² Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China
中国 厦门 福建能源材料科学与技术创新实验室
³ College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, China
中国 新竹 台湾阳明交通大学 电机学院
⁴ Semiconductor Research Center, Hon Hai Research Institute, Taipei 11492, China
中国 台北 鸿海研究院半导体研究所
Opto-Electronic Advances, 2023-09-27
Abstract
Deep-ultraviolet (DUV) sterilization technology using DUV-LEDs has attracted considerable attention owing to its portability, eco-friendliness, high potency, and broad-spectrum sterilization. This study compiles the developments of recent DUV sterilization research.
Recent works have investigated DUV sterilization from the perspective of device improvement and principle investigation: one employed a novel epitaxial structure to optimize the performance and fabrication cost of DUV-LEDs and realized potent virus disinfection effects for various respiratory RNA viruses, and another work explained the disinfection phenomenon of SARS-CoV-2 and its variants (Delta and Omicron) in a cryogenic environment.
These studies have contributed significantly to the development of DUV sterilization.
Separation and identification of mixed signal for distributed acoustic sensor using deep learning
Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
Opto-Electronic Advances
2025-11-25
