基于烟用材料的衰减全反射红外光谱无损鉴别真假卷烟
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摘要
为建立一种快速、无损、简便鉴别卷烟真伪的方法,采用衰减全反射红外光谱法(ATR-FTIR),分别采集多个品牌真品、假冒卷烟样品烟用材料相关部位的衰减全反射红外光谱,研究探索有鉴别力的鉴别点(即检测微区);通过直观比较及相似度(相关系数和QC比较)分析,选出多个分辨力强的鉴别点;采用Bootstrap法确定相似度判别阈值,建立了多个品牌卷烟真伪鉴别模型,并应用于未知样品的鉴别检验。结果表明:鉴别模型对于模型卷烟待测样品和非模型卷烟未知样品均能实现准确鉴别,鉴别正确率为100%;QC比较法具有较好的鉴别力,真品卷烟之间的QC值均大于94.620 7%,而真品与假冒卷烟(或非模型卷烟样品)的最大QC值为89.152 5%,低于90%;与现行感观鉴别法相比,该方法提升了卷烟真伪鉴别检验的科学性和准确性,可为烟草专卖打假提供另一种科学客观的方法。
In order to identify cigarette authenticity, a rapid, non-destructive and simple method was established by Attenuated Total Reflection(ATR) Fourier Transform Infrared Spectroscopy and used to study cigarette packaging materials. The cigarette samples of several brands were scanned to acquire their ATR infrared spectra. The strong identification points(i.e. micro-area for ATR detection) for each brand were found by combination of intuitive comparison and similarity analysis(correlation coefficient and QC approach).Similarity threshold was determined by Bootstrap method. A model to discriminate the genuine and fake cigarette samples was also established and applied to identify unknown cigarette samples(model or non-model samples). The results showed that all the unknown samples were accurately discriminated with the identification model, and the prediction rate reached 100%. QC approach had a better discrimination capability. The lowest QC value between authentic cigarettes was above 94.620 7%, while the highest QC value between authentic cigarettes and counterfeits(or non-model samples) was 89.152 5%(less than 90.0%). Therefore, compared with the current sensory discrimination method, the developed non-destructive ATR-FTIR method improves the scientific credibility and accuracy for cigarette identification and provides a foundation for the combat of counterfeit cigarettes.
In order to identify cigarette authenticity, a rapid, non-destructive and simple method was established by Attenuated Total Reflection(ATR) Fourier Transform Infrared Spectroscopy and used to study cigarette packaging materials. The cigarette samples of several brands were scanned to acquire their ATR infrared spectra. The strong identification points(i.e. micro-area for ATR detection) for each brand were found by combination of intuitive comparison and similarity analysis(correlation coefficient and QC approach).Similarity threshold was determined by Bootstrap method. A model to discriminate the genuine and fake cigarette samples was also established and applied to identify unknown cigarette samples(model or non-model samples). The results showed that all the unknown samples were accurately discriminated with the identification model, and the prediction rate reached 100%. QC approach had a better discrimination capability. The lowest QC value between authentic cigarettes was above 94.620 7%, while the highest QC value between authentic cigarettes and counterfeits(or non-model samples) was 89.152 5%(less than 90.0%). Therefore, compared with the current sensory discrimination method, the developed non-destructive ATR-FTIR method improves the scientific credibility and accuracy for cigarette identification and provides a foundation for the combat of counterfeit cigarettes.
引文
[1]吉绍长,李元崇,刘红,等.卷烟真伪鉴别的相关技术研究[J].中国科技信息,2013(10):154-155.JI Shaochang,LI Yuanchong,LIU Hong,et al.Study on identification technologies for genuine and fake cigarettes[J].China Science and Technology Information,2013(10):154-155.
[2]朱梅华,潘海波,梁洪波,等.卷烟真伪鉴别技术研究[J].中国科技信息,2016(5):50-51.ZHU Meihua,PAN Haibo,LIANG Hongbo,et al.Study on identification technologies for genuine and fake cigarettes[J].China Science and Technology Information,2016(5):50-51.
[3]聂磊,张福民,朱友,等.顶空-气相色谱-质谱技术应用于卷烟真伪鉴别[J].中国烟草学报,2012,18(3):16-20.NIE Lei,ZHANG Fumin,ZHU You,et al.The application of headspace-gas chromatography-mass spectroscopy in counterfeit cigarette identification[J].Acta Tabacaria Sinica,2012,18(3):16-20.
[4]李军,朱苏闽,林平.固相微萃取-气相色谱-质谱指纹图谱鉴别仿冒品牌卷烟[J].烟草科技,2002(12):26-28.LI Jun,ZHU Sumin,LIN Ping.Identification of counterfeit cigarettes by SPME-GC-MS fingerprint spectrum[J].Tobacco Science&Technology,2002(12):26-28.
[5]廖堃,胡纲.气相色谱-质谱指纹图谱在甄别真假卷烟上的应用[J].分析测试学报,2006,25(1):22-26.LIAO Kun,HU Gang.Application of GC-MSfingerprint in authenticating cigarettes[J].Journal of Instrumental Analysis,2006,25(1):22-26.
[6]田耀伟,杨雷玉,朱先约,等.电子鼻在卷烟真伪鉴别中的应用[J].食品工业科技,2011,32(4):376-378,382.TIAN Yaowei,YANG Leiyu,ZHU Xianyue,et al.Application of electronic nose in discriminating counterfeit cigarette from genuine[J].Science and Technology of Food Industry,2011,32(4):376-378,382.
[7]黄祖刚,李建平,何秀丽,等.用电子鼻鉴别卷烟的方法[J].传感器技术,2004,23(6):62-65.HUANG Zugang,LI Jianping,HE Xiuli,et al.Method of identifying cigarettes using electronic nose[J].Journal of Transducer Technology,2004,23(6):62-65.
[8]朱先约,宗永立,李炎强,等.电子鼻技术及其在烟草行业中的应用[J].中国烟草学报,2008,14(4):66-70.ZHU Xianyue,ZONG Yongli,LI Yanqiang,et al.Electronic nose and its application in the tobacco industry[J].Acta Tabacaria Sinica,2008,14(4):66-70.
[9]陈兴,王文元,刘亚,等.近红外光谱相似度匹配分析法控制卷烟表香质量[J].激光与红外,2013,43(1):44-48.CHEN Xing,WANG Wenyuan,LIU Ya,et al.Quality control of tobacco top flavor by NIR spectral similarity match analysis[J].Laser&Infrared,2013,43(1):44-48.
[10]葛炯,王瑾,王微妙,等.近红外技术在卷烟真伪鉴别中的应用[J].烟草科技,2007(4):29-31.GE Jiong,WANG Jin,WANG Weimiao,et al.Application of NIR spectroscopy in discriminating counterfeit cigarettes from genuine[J].Tobacco Science&Technology,2007(4):29-31.
[11]唐雪梅,张薇,李慧.卷烟真伪鉴别的近红外定性分析方法[J].烟草科技,2008(11):5-8.TANG Xuemei,ZHANG Wei,LI Hui.Application of near-infrared reflectance spectroscopy in discriminating counterfeit cigarettes from genuine[J].Tobacco Science&Technology,2008(11):5-8.
[12]黄红英,尹齐和.傅里叶变换衰减全反射红外光谱法(ATR-FTIR)的原理与应用进展[J].中山大学研究生学刊(自然科学、医学版),2011,32(1):20-31.HUANG Hongying,YIN Qihe.Fundamentals and application advances in attenuated total internal reflectance Fourier transform infrared spectroscopy(ATR-FTIR)[J].Journal of the Graduates Sun Yat-Sen University(Natural Sciences,Medicine),2011,32(1):20-31.
[13]张翼鹏,李超,赵敏,等.基于近红外光谱法的卷烟包装材料色差分析[J].烟草科技,2016,49(2):75-81.ZHANG Yipeng,LI Chao,ZHAO Min,et al.Analysis of color difference of cigarette packaging material based on near-infrared spectroscopy[J].Tobacco Science&Technology,2016,49(2):75-81.
[14]颜素容,詹雪艳,王耘.基于Bootstrap区间估计的中药指纹图谱相似度阈值确定方法研究[J].计算机与应用化学,2013,30(7):767-770.YAN Surong,ZHAN Xueyan,WANG Yun.Determination of the similarity threshold of TCMfingerprints based on the Bootstrap method and interval estimation[J].Computers and Applied Chemistry,2013,30(7):767-770.
[2]朱梅华,潘海波,梁洪波,等.卷烟真伪鉴别技术研究[J].中国科技信息,2016(5):50-51.ZHU Meihua,PAN Haibo,LIANG Hongbo,et al.Study on identification technologies for genuine and fake cigarettes[J].China Science and Technology Information,2016(5):50-51.
[3]聂磊,张福民,朱友,等.顶空-气相色谱-质谱技术应用于卷烟真伪鉴别[J].中国烟草学报,2012,18(3):16-20.NIE Lei,ZHANG Fumin,ZHU You,et al.The application of headspace-gas chromatography-mass spectroscopy in counterfeit cigarette identification[J].Acta Tabacaria Sinica,2012,18(3):16-20.
[4]李军,朱苏闽,林平.固相微萃取-气相色谱-质谱指纹图谱鉴别仿冒品牌卷烟[J].烟草科技,2002(12):26-28.LI Jun,ZHU Sumin,LIN Ping.Identification of counterfeit cigarettes by SPME-GC-MS fingerprint spectrum[J].Tobacco Science&Technology,2002(12):26-28.
[5]廖堃,胡纲.气相色谱-质谱指纹图谱在甄别真假卷烟上的应用[J].分析测试学报,2006,25(1):22-26.LIAO Kun,HU Gang.Application of GC-MSfingerprint in authenticating cigarettes[J].Journal of Instrumental Analysis,2006,25(1):22-26.
[6]田耀伟,杨雷玉,朱先约,等.电子鼻在卷烟真伪鉴别中的应用[J].食品工业科技,2011,32(4):376-378,382.TIAN Yaowei,YANG Leiyu,ZHU Xianyue,et al.Application of electronic nose in discriminating counterfeit cigarette from genuine[J].Science and Technology of Food Industry,2011,32(4):376-378,382.
[7]黄祖刚,李建平,何秀丽,等.用电子鼻鉴别卷烟的方法[J].传感器技术,2004,23(6):62-65.HUANG Zugang,LI Jianping,HE Xiuli,et al.Method of identifying cigarettes using electronic nose[J].Journal of Transducer Technology,2004,23(6):62-65.
[8]朱先约,宗永立,李炎强,等.电子鼻技术及其在烟草行业中的应用[J].中国烟草学报,2008,14(4):66-70.ZHU Xianyue,ZONG Yongli,LI Yanqiang,et al.Electronic nose and its application in the tobacco industry[J].Acta Tabacaria Sinica,2008,14(4):66-70.
[9]陈兴,王文元,刘亚,等.近红外光谱相似度匹配分析法控制卷烟表香质量[J].激光与红外,2013,43(1):44-48.CHEN Xing,WANG Wenyuan,LIU Ya,et al.Quality control of tobacco top flavor by NIR spectral similarity match analysis[J].Laser&Infrared,2013,43(1):44-48.
[10]葛炯,王瑾,王微妙,等.近红外技术在卷烟真伪鉴别中的应用[J].烟草科技,2007(4):29-31.GE Jiong,WANG Jin,WANG Weimiao,et al.Application of NIR spectroscopy in discriminating counterfeit cigarettes from genuine[J].Tobacco Science&Technology,2007(4):29-31.
[11]唐雪梅,张薇,李慧.卷烟真伪鉴别的近红外定性分析方法[J].烟草科技,2008(11):5-8.TANG Xuemei,ZHANG Wei,LI Hui.Application of near-infrared reflectance spectroscopy in discriminating counterfeit cigarettes from genuine[J].Tobacco Science&Technology,2008(11):5-8.
[12]黄红英,尹齐和.傅里叶变换衰减全反射红外光谱法(ATR-FTIR)的原理与应用进展[J].中山大学研究生学刊(自然科学、医学版),2011,32(1):20-31.HUANG Hongying,YIN Qihe.Fundamentals and application advances in attenuated total internal reflectance Fourier transform infrared spectroscopy(ATR-FTIR)[J].Journal of the Graduates Sun Yat-Sen University(Natural Sciences,Medicine),2011,32(1):20-31.
[13]张翼鹏,李超,赵敏,等.基于近红外光谱法的卷烟包装材料色差分析[J].烟草科技,2016,49(2):75-81.ZHANG Yipeng,LI Chao,ZHAO Min,et al.Analysis of color difference of cigarette packaging material based on near-infrared spectroscopy[J].Tobacco Science&Technology,2016,49(2):75-81.
[14]颜素容,詹雪艳,王耘.基于Bootstrap区间估计的中药指纹图谱相似度阈值确定方法研究[J].计算机与应用化学,2013,30(7):767-770.YAN Surong,ZHAN Xueyan,WANG Yun.Determination of the similarity threshold of TCMfingerprints based on the Bootstrap method and interval estimation[J].Computers and Applied Chemistry,2013,30(7):767-770.