显微技术在医用口罩检验中的应用  

Microscopic Technique Detecting Medical Masks

作　　者：蔡承羽 周展威 林梓浩 刘雅芸 陈烜 陈宁[1] CAI Chengyu;ZHOU Zhanwei;LIN Zihao;LIU Yayun;CHEN Xuan;CHEN Ning(Department of Criminal Science and Technology,Guangdong Police College,Guangzhou 510440,China)

机构地区：[1]广东警官学院刑事技术系,广州510440

出　　处：《刑事技术》2023年第1期70-75,共6页Forensic Science and Technology

基　　金：广东警官学院2020年度国家级大学生创新创业训练计划(202011110006)。

摘　　要：本文建立了一种利用立体显微镜和偏光显微镜对医用口罩进行检验的方法,根据医用口罩各层的立体显微特征和偏光特性可对医用口罩进行区分。首先使用立体显微镜检验医用口罩并观察其各层的立体显微特征。基于医用口罩各层的显微图像,以特定面积内口罩轧点的平均数量代表口罩该层轧点的密度,使用SPSS软件进行方差分析,确定不同品牌的医用口罩及其轧点密度之间是否存在显著性差异,再根据医用口罩的轧点密度对口罩样品进行区分。其次使用偏光显微镜检验医用口罩并观察其纤维部分的整体干涉颜色,根据不同品牌口罩纤维干涉颜色的差异对医用口罩进行区分。本文建立的方法实现了对不同品牌不同来源的医用口罩的快速无损鉴别,该方法快速简单,易推广,为打击生产制造伪劣口罩的违法犯罪行为和在犯罪现场检验此类物证、追踪犯罪嫌疑人提供参考和借鉴。An approach has been developed here about detecting medical masks which were observed with stereoscopic and/or polarized light microscope and thereby distinguished according to their each layer’s stereo-microscopic and polarizing characteristics.Specifi cally,a stereoscopic microscope was utilized fi rst to look into the sampled medical masks about their stereo-microscopic characteristics.Secondly,each layer of all the sampled masks was estimated of its bonding density based on the observed microscopic images,rendering the average bonding number in a specifi c area through statistical sampling calculation.For example,three zones were randomly selected on the observed image and counted of the bonding number there directly so that the average value was hence to obtain.Thirdly,the statistical product and service solutions(SPSS)software was adopted to conduct the analysis of variance to determine whether any signifi cant difference existed between brand-different medical masks and their bonding density with which to have the involving medical masks classifi ed.Finally,a polarized light microscope was exploited to observe the medical masks and detect their fi bers’overall interference color so that all the sampled medical masks were again distinguished according to their different interference colors.As a result,the selected 42 pieces of medical masks were effectively classifi ed through their polarizing characteristics.Eventually,one rapid and non-destructive identifi cation was realized about brand-/source-different medical masks.Obviously,the detection method proposed here can provide technical support and reference for cracking down on the illegal or criminal acts relating to produce fake and shoddy medical masks and for collecting physical evidence at the crime scene and/or tracking criminal suspects.

关 键 词：医用口罩 立体显微镜 偏光显微镜 无损鉴别 

分 类 号：DF793.2[政治法律—诉讼法学]