摘要
为建立一种区分检验烟盒外包装薄膜的方法,采用最新的差分拉曼光谱技术对41个不同品牌、不同系列的烟盒外包装薄膜进行检验研究,利用差分技术和BP神经网络技术、差分拉曼解调和去噪算法预处理谱图。通过结合传统解析谱图和化学计量学方法,可实现区分不同品牌、不同系列的烟用外包装薄膜样本的目的。研究表明:该方法操作简便、无损检材且科学可靠,能为公安机关实际办案提供帮助。
In order to establish a method for distinguishing and testing the packaging film of cigarette packs,the latest differential Raman spectroscopy technology was used to test 41 packaging films of cigarette packs of different brands and series,the spectrum were pretreated by using differential technology,BP neural network technology,differential Raman demodulation and denoising algorithms.By combining traditional analytical spectrum and chemometrics methods,the purpose of distinguishing different brands and different series of cigarette packaging film samples was fulfilled.Studies have shown that this method is simple,non-destructive,and scientifically reliable,which can help public security organs in handling cases.
作者
张进
蒋鹏
姜红
刘峰
段斌
ZHANG Jin;JIANG Peng;JIANG Hong;LIU Feng;DUAN Bin(People’s Public Security University of China,Beijing 100038,China;Guangxi Police College,Nanning 530028,China;Nanjing Jianzhi Instrument and Equipment Co.,Ltd.,Nanjing 210049,China)
出处
《中国测试》
CAS
北大核心
2022年第11期74-77,共4页
China Measurement & Test
基金
南京简智仪器设备有限公司技术合作项目(20191218)
中国人民公安大学2019年度基科费重点项目(2019JKF222)。
关键词
差分拉曼光谱
烟盒外包装薄膜
化学计量学
differential Raman spectroscopy
cigarette packaging film
chemometrics