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近红外技术在卷烟真伪鉴别中的应用 被引量:23

Application of NIR Spectroscopy in Discriminating Counterfeit Cigarettes from Genuine
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摘要 为了快速准确地鉴别卷烟的真伪,对A牌卷烟进行了近红外光谱扫描,采用光谱因子分析法建立了A牌卷烟的鉴别模型,并应用该模型对A牌(样品数88个)、非A牌(样品数80个)和假冒A牌卷烟(样品数10个)进行了鉴别。结果显示,A牌、非A牌和假冒A牌卷烟的鉴别准确率分别为92.0%、96.3%和100.0%,平均94.4%。该模型鉴别的准确性较高,可以作为卷烟真伪鉴别的一种辅助手段。 In order to discriminate counterfeit cigarettes from genuine correctly and rapidly, ciga- rettes of brand A were scanned by the NIR spectrometer, an identifying model for brand A was established by factor analysis, and 88 cigarette samples of brand A, 80 cigarette samples of brand non-A and 10 samples of counterfeit cigarette were identified by the model. The results showed that the discrimination accuracy of brand A, brand non-A and counterfeit cigarette was 92.0% , 96.3% and 100% , respectively, and the average was 94.4%. It indicated that the NIRS model could be used as an auxilliary means for identifying counterfeit cigarettes.
出处 《烟草科技》 EI CAS 北大核心 2007年第4期29-31,共3页 Tobacco Science & Technology
关键词 近红外 卷烟 鉴别 因子分析 Near infrared Cigarette Discrimination Factor analysis
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  • 1陶晓秋,杜顺莲,李维娜.近红外光谱法预测烟草中硫含量的研究[J].烟草科技,2004,37(8):33-35. 被引量:27
  • 2王家俊,罗丽萍,李辉,杨勇.FT-NIR光谱法同时测定烟草根、茎、叶中的氮、磷、氯和钾[J].烟草科技,2004,37(12):24-27. 被引量:56
  • 3王国东,束茹欣,张建平,倪力军.不同产地国产烤烟近红外光谱的特征分析及其模式识别[J].烟草科技,2006,39(5):36-40. 被引量:43
  • 4MAHA HANA,MCCLURE W F.Applying artificial neural networks.Ⅱ.Using near infrared data to classify tobacco types and identify native grown tobacco[J].J Near Infrared Spectra,1997 (5):19-25.
  • 5梁逸曾,俞汝勤.分析化学手册(第二版)第十分册[M].北京:化学工业出版社,2000:328-329,260-267.
  • 6A CANDOLFI,R DE MAESSCHALCK,D JOUAN-RIMBAUD.The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra[J].J.Pharma Biome Anal,1999,21:115-132.
  • 7A SAVITZKY,M J E GOLAY,Smoothing and differentiation of data by simplified least squares procedures[J].Anal Chem,1994,36:1627-1639.
  • 8A CANDOLFI,W WU,D L MASSART,et al.Comparison of classification approaches applied to NIR-spectra of clinical study lots[J].J Pharma Biom Anal,1998,16:1329-1347.
  • 9MAHA H, MCCLURE W F. Applying artificial neural networks. Ⅱ. Using near infrared data to classify tobacco types and identify native grown tobacco [ J ]. J Near Infrared Spectra, 1997 (5) : 19-25.
  • 10LO S C. Rapid classification and blend analysis of tobacco mixtures using near IR and artificial neural networks [J].CORESTA, 1995(3-4) :12-13.

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