新型冠状病毒样本查杀一体化系统关键技术  

Key Technologies of Integrated System for the Detection and Disinfection of COVID-19 Samples

作　　者：张东荷雨 郭云涛 张丽阳 李深伟 王瑶 刘培培 王红球 吴越 何宇平 周群[7] 罗海云[1] ZHANG Dongheyu;GUO Yuntao;ZHANG Liyang;LI Shenwei;WANG Yao;LIU Peipei;WANG Hongqiu;WU Yue;HE Yuping;ZHOU Qun;LUO Haiyun(Department of Electrical Engineering,Tsinghua University,Haidian District,Beijing 100084,China;Shanghai International Travel Healthcare Center,Huangpu District,Shanghai 200002,China;Peking Union Medical College Hospital,Xicheng District,Beijing 100032,China;National Institute for Viral Disease Control and Prevention,China CDC,Changping District,Beijing 102206,China;JINSP Co.,Ltd.,Haidian District,Beijing 100083,China;Beijing Holy-shine Technology Co.,Ltd.,Haidian District,Beijing 100080,China;Department of Chemistry,Tsinghua University,Haidian District,Beijing 100084,China)

机构地区：[1]清华大学电机工程与应用电子技术系,北京市海淀区100084 [2]上海国际旅行卫生保健中心(上海海关口岸门诊部),上海市黄浦区200002 [3]中国医学科学院北京协和医院,北京市西城区100032 [4]中国疾病预防控制中心病毒病预防控制所,北京市昌平区102206 [5]北京鉴知技术有限公司,北京市海淀区100083 [6]北京汇路鑫科技有限公司,北京市海淀区100080 [7]清华大学化学系,北京市海淀区100084

出　　处：《中国电机工程学报》2022年第12期4623-4632,共10页Proceedings of the CSEE

基　　金：国家重点研发计划项目(2020YFC0862100);清华大学春风基金(2020Z99CFG007);清华大学北京协和医院自主科研联合项目(20191080604)。

摘　　要：新型冠状病毒肺炎是由新型冠状病毒感染引发的一种急性呼吸道传染病,自爆发以来已对世界经济发展和人民健康安全造成威胁。鉴于目前多种病毒变异株的出现,防控难度不断升级,快速、简便、大规模的检测手段对疫情控制起到关键作用。该文基于傅里叶变换红外光谱检测技术、模式识别算法及等离子体消毒技术开发了一种新型冠状病毒样本查杀一体化系统,并初步测试了该系统的检测及消毒有效性。“查”方面,该文将数据库规模从115例血清样本扩大至857例,并应用偏最小二乘分类、卷积神经网络两种模式识别算法建立对新冠阳性、对照阴性、免疫异常干扰样本的分类模型,预测准确率分别可达到91.97%和98.29%。“杀”方面,为了解决操作安全性问题,基于放电等离子体技术开发了样本干燥消毒模块和柔性消毒薄膜,对仪器重点位置进行有效保护,经实验室模拟消毒试验,两模块对大肠杆菌杀灭率均可达到99.9%以上,符合《消毒技术规范》2002版中的规定。综上,该文在新冠样本光谱检测过程中的“查”、“杀”两部分均进行了技术创新,并实现检测与消毒功能的结合,有助于光谱检测方法的应用推广。Coronavirus Disease 2019 is an acute respiratory infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2,which has posed a major threat to world economic development and people’s health and security.In view of the emergence of virus variants,the difficulty of prevention and control is constantly escalating,and rapid,simple and large-scale detection methods play a key role in epidemic control.Based on Fourier transform infrared spectroscopy detection technology,pattern recognition and plasma disinfection technology,this paper developed a new integrated system for the detection and disinfection of pathogens,and preliminarily tested the effectiveness of the system.In terms of‘detection’,the data scale was expanded from 115 to 857cases.Recognition algorithms including partial least squares classification and convolutional neural network were used to establish classification models for the positive,health control and interference samples,and the prediction accuracy could reach 91.97%and 98.29%respectively.In terms of‘disinfection’,to reduce the safety risk of the operation safety,a sample drying and disinfection module and a flexible disinfection film were developed based on the plasma disinfection technology,which was used to protect the key positions of the instruments.The disinfection rate of E.coli in both modules could be higher than 99.9%,in line with the relevant provisions.In summary,the two parts of the spectroscopy detection process of Coronavirus Disease 2019 samples have been innovated.For the first time,the combination of‘detection’and‘disinfection’has been realized,which is conducive to the application and promotion of spectroscopy detection methods.

关 键 词：新型冠状病毒肺炎 傅里叶变换红外光谱 模式识别 表面介质阻挡放电 消毒学 

分 类 号：TM89[电气工程—高电压与绝缘技术]