基于化学指纹图谱评价多点加工卷烟产品质量稳定性
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摘要
为有效评价多点加工卷烟产品质量稳定性,采用顶空-气相色谱/质谱联用法(HS-GC/MS)对红塔山(硬经典100)品牌的不同生产点卷烟烟丝样品的挥发及半挥发性成分进行测定,获得其化学指纹图谱,结合主成分分析和欧式距离的相似系数对检测数据进行处理。结果表明:应用主成分分析法可以对不同生产点的卷烟产品进行聚类区分,表明不同生产点的卷烟有不同的主成分得分数据特征;玉溪、大理和海南生产点的欧式距离相似系数分别为0.80、0.80、0.85,这3个生产点的卷烟样品与对照样品间的欧式距离相似系数较大,表明可用欧式距离相似系数对不同生产点卷烟质量波动状况进行定量表征;根据主成分分析法的成分含量差异分布图,表明可用该方法对不同生产点卷烟质量特征进行定性定量描述。该研究结果可用于卷烟产品的质量稳定性评价。
In order to effectively evaluate the quality stability of cigarette products processed at multiple locations,we used Headspace-Gas Chromatography/Mass Spectrometry(HS-GC/MS) method to measure the volatile and semi-volatile components of cut-tobacco samples from different production points of Hongtashan(hard classic 100) brand cigarette,obtained their chemical fingerprints,and processed these measurement data by using principal component analysis and similarity coefficient based on Euclidean distance. The results showed that: applying principal component analysis method could cluster these multipoint-processed cigarette products into different groups,indicating that the cigarette products at different production points have various principal component score data characteristics; the similarity coefficients based on Euclidean distance between Yuxi point and Chuxiong(CK) point,between Dali and CK point,and between Hainan and CK point were 0.80,0.80 and 0.85,respectively,revealing that the similarity coefficient based on Euclidean distance can be used to quantitatively characterize the quality fluctuations of cigarette products processed at different locations; according to the distribution map of component content difference based on principal component analysis,this method can be used to qualitatively and quantitatively describe the quality characteristics of cigarette products at different production points. The results of this study can be used to evaluate the quality stability of cigarette products.
In order to effectively evaluate the quality stability of cigarette products processed at multiple locations,we used Headspace-Gas Chromatography/Mass Spectrometry(HS-GC/MS) method to measure the volatile and semi-volatile components of cut-tobacco samples from different production points of Hongtashan(hard classic 100) brand cigarette,obtained their chemical fingerprints,and processed these measurement data by using principal component analysis and similarity coefficient based on Euclidean distance. The results showed that: applying principal component analysis method could cluster these multipoint-processed cigarette products into different groups,indicating that the cigarette products at different production points have various principal component score data characteristics; the similarity coefficients based on Euclidean distance between Yuxi point and Chuxiong(CK) point,between Dali and CK point,and between Hainan and CK point were 0.80,0.80 and 0.85,respectively,revealing that the similarity coefficient based on Euclidean distance can be used to quantitatively characterize the quality fluctuations of cigarette products processed at different locations; according to the distribution map of component content difference based on principal component analysis,this method can be used to qualitatively and quantitatively describe the quality characteristics of cigarette products at different production points. The results of this study can be used to evaluate the quality stability of cigarette products.
引文
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[19]梁晶,谢彩娟,张志琪,等.延胡索药材HPLC指纹图谱的化学模式识别研究[J].药物分析杂志,2006,26(12):1698-1701.
[20]曾映旭,赵晨曦,梁逸曾,等.中药威灵仙的化学模式识别研究[J].计算机与应用化学,2006,23(9):825-828.
[2]石凤学,王浩雅,张涛,等.欧式距离系数在多点生产卷烟产品的均质化评价中的应用[J].安徽农业科学,2011,39(20):12569-12572.
[3]谢长芹.卷烟多点生产质量稳定性研究[J].现代农业科技,2010(22):11-12.
[4]赖燕华,陈翠玲,欧阳璐斯,等.卷烟质量稳定性综合评价———基于多特征相似度分析和主成分分析[J].中国烟草学报,2017,23(05):22-30.
[5]钟科军,Zhu L M,李荣,等.气味指纹分析技术在烟草工业中的应用研究[C]//中国烟草学会工业专业委员会2005年烟草化学学术研讨会论文集,海口,2005.
[6]石怀彬,甘学文,陈晶波,等.利用主成分分析计算方法定量描述卷烟内在质量稳定性的初步探索[C]//中国烟草学会2006年学术年会论文集,广州,2007:640-648.
[7]曲国福,孟昭宇,陆舍铭,等.香料指纹图谱及其在烟用香精质量控制中的应用概述[J].烟草科技,2006(5):47-50.
[8]谢培山.色谱指纹图谱分析是中草药质量控制的可行策略[J].中药新药与临床药理,2001,12(3):141-151.
[9]王欣,刘新.中药指纹图谱与质量控制[J].现代医药卫生,2005,21(15):1982-1983.
[10]许蔼飞,黄世杰,蒋宏霖,等.GC-MS法结合聚类分析用于烟用香精质量控制的研究[J].安徽农业科学,2009,37(14):6344-6346.
[11]李超,刘秀明,秦云华,等.基于挥发性特征组分的卷烟烟丝质量趋势分析[J].烟草科技,2017,50(11):39-47.
[12]许蔼飞,黄世杰,蒋宏霖,等.程度相似度结合聚类分析评价烟用香精质量[J].安徽农业科学,2010,38(21):11120-11121,11139.
[13]林永明,许健,李忠任,等.香烟评吸质量指标的主成分和聚类分析[J].农业网络信息,2009,8:119-121.
[14]赵华武,贺帆,李祖良,等.基于主成分分析法的烤烟香气品质评价模型构建[J].西北农业学报,2012,21(2):88-93.
[15]张光辉,李俊丽,阴耕云.基于主成分分析的烟草质量一致性评价[J].计算机与应用化学,2014,31(4):461-465.
[16]蔡宝昌,刘训红.常用中药材HPLC指纹图谱测定技术[M].北京:化学工业出版社,2005.
[17]赵宇,谢培山,梁逸曾,等.中药枳壳HPLC指纹图谱分析及化学模式识别分类研究[J].中国药学杂志,2005,40(11):812-815.
[18]陈斌,蔡宝昌.大黄药材HPLC指纹图谱的化学模式识别[J].南京中医药大学学报,2006,22(1):47-49.
[19]梁晶,谢彩娟,张志琪,等.延胡索药材HPLC指纹图谱的化学模式识别研究[J].药物分析杂志,2006,26(12):1698-1701.
[20]曾映旭,赵晨曦,梁逸曾,等.中药威灵仙的化学模式识别研究[J].计算机与应用化学,2006,23(9):825-828.