摘要
为了能够快速无损地鉴别卷烟的真伪,应用傅立叶变换近红外(FT-NIR)光谱分析技术结合相似度匹配的定性分析方法,以来自红云红河烟草(集团)有限责任公司云烟(印象)、云烟(软珍品)和云烟(紫)3个牌号卷烟各50批(共1000支)烟支样品的近红外漫反射光谱数据为基础,利用TQ统计软件分别建立以上牌号烟支的相似度匹配鉴别模型,并对建模参数和模型的鉴别效果进行了评价.结果表明,云烟(印象)、云烟(软珍品)和云烟(紫)3个牌号的鉴别模型对模型牌号和非模型牌号(包括假冒模型牌号和其它卷烟)烟支的鉴别准确率分别达到100%,98.3%和96.7%.因此,应用FT-NIR光谱分析技术可以对卷烟烟支进行快速、无损和大批量鉴别,为卷烟打假维权提供新的思路和方法.
A new method was suggested to identify authentic and fake cigarettes fast and nondestructively,by application of FT-NIR spectroscopy and a qualitative analysis of similarity match.In this research,similarity-match identifying models were established respectively by using the TQ statistical software and the data of NIR diffuse reflection spectral of 50-batch-cigarette samples （1000 cigarettes） of 3 brands,Yunyan （Impression）,Yunyan （Soft Rarity） and Yunyan （Purple）,from Hongyun Honghe Tobacco （Group） Co.,Ltd.Established parameters and the identifying effects of the models were also evaluated.Results showed that the identifying accuracy of the cigarettes from models of 3 brands,Yunyan （Impression）,Yunyan （Soft Rarity） and Yunyan （Purple）, from those of model-brand and non-model-brand,including fake brands and other brands,were 100%,98.3% and 96.7% respectively.Therefore, the application of FT-NIR spectroscopy could identify cigarettes rapidly,nondestructively and at larger scale,and it provided a new idea and method to fight against fake cigarettes and protect right.
出处
《云南大学学报（自然科学版）》
CAS
CSCD
北大核心
2010年第4期453-459,共7页
Journal of Yunnan University(Natural Sciences Edition)
基金
云南省科技厅资助项目(2003ADBFA00A028)
云南中烟工业公司资助项目(2005JC04)
关键词
近红外
卷烟
相似度匹配
真伪
鉴别
near infrared spectroscopy
cigarettes
similarity match
authentic and fake
identification
