AlGaN基深紫外LED光源灭活柯萨奇病毒研究
AlGaN Based Deep Ultraviolet LED for Inactivating Coxsackie Virus
吴郁 1蓝习瑜 2张梓睿 2吴章鑫 1刘忠宇 1杨玲佳 1张山丽 3徐可 2贲建伟3
作者信息
- 1. 北京大学第三医院,北京 100191
- 2. 武汉大学生命科学学院,湖北武汉 430072
- 3. 中国科学院长春光学精密机械与物理研究所,吉林长春 130033
- 折叠
摘要
为探究在高温热处理AlN模板上制备的不同发光波长AlGaN基LED器件对病毒的灭活效率,本工作在发光波长257～294 nm范围内制备了7组不同发光波长AlGaN基深紫外LED器件,并探究其对柯萨奇病毒灭活效率.实验结果表明,高温热处理AlN模板可以将AlN模板位错密度降低至1.33×107 cm-2,为制备高效率AlGaN基LED器件奠定了良好基础;基于高温热处理AlN模板制备的AlGaN基LED器件,在灭活距离2 cm、紫外辐照时间30 s实验条件下,发光中心波长在257～278 nm之间的AlGaN基LED器件对柯萨奇病毒灭活率≥99.90％,而发光中心波长为288 nm、294 nm的LED对柯萨奇病毒灭活率仅为99.47％及96.15％.根据以上研究结果,波长在257～278 nm之间的AlGaN基LED器件适合在病毒消杀领域应用;在本工作实验条件下,波长大于288 nm的AlGaN基深紫外LED器件对病毒灭活效果较差.
Abstract
To explore the virus inactivation efficiency of AlGaN based LED with different light emission wave-lengths fabricated on high-temperature annealed (HTA) AlN templates,7 groups of AlGaN based LEDs were fabri-cated with emission wavelengths varied from 257 nm to 294 nm,and the inactivation efficiency for Coxsackie virus was explored.The experimental results show that the threading dislocation density of HTA AlN templates can be de-creased to 1.33×107 cm-2,which is beneficial for fabricating AlGaN based LED.The Coxsackie virus inactivation rate is more than 99.90％ for the AlGaN based LED with central emission wavelength between 257 nm and 278 nm under the experimental conditions (inactivation distance of 2 cm,UV irradiation time of 30 s),while the Coxsackie virus inactivation rate only reaches 99.47％ and 96.15％ for the LED with central emitting wavelength of 288 nm and 294 nm,respectively.According to the above results,AlGaN based LEDs with emission wavelength between 257 nm and 278 nm are suitable for application in virus sterilization field,while the LED with wavelength longer than 288 nm has poor efficacy in virus sterilization under the experimental conditions.
关键词
高温热处理/AlN模板/AlGaN/LED/病毒灭活Key words
high temperature anneal/AlN template/AlGaN/LED/virus inactivation引用本文复制引用
基金项目
国家重点研发计划(2022YFB3605000)
国家重点研发计划(2022YFC2704401)
国家重点研发计划(2022YFB3605102)
国家重点研发计划(2018YFB0703704)
国家重点研发计划(2017YFB0405401)
吉林省博士后资助项目()
出版年
2024
国家科技期刊平台
NSTL
万方数据