卷烟叶组化学成分分析及与配方维护的关系
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摘要
为分析卷烟叶组配方中烟叶化学成分变化对配方维护的影响,以因子分析、曲线拟合、距离相关分析、聚类分析方法对贵州中烟工业有限责任公司2017年产品卷烟A,共13个维护配方叶组的烟叶化学成分进行了分析。结果表明:(1)各维护配方的化学成分因子综合得分曲线可作为配方化学成分与感官品质的定量表达形式,且便于配方维护后期的评价追溯。(2)通过化学成分因子综合得分的距离相关分析,可明确各维护配方间化学成分的差异大小,并可对各维护配方的适宜程度进行直观判断和数值比较。(3)在日常卷烟叶组配方维护的过程中,运用因子综合得分聚类分析,能够对保持该卷烟叶组配方化学成分的稳定性和初始特征提供支撑。
In order to investigate the influences of chemical component variation in blended tobacco on cigarette blend maintenance, the chemical components in blended tobacco of 13 maintained blends of cigarette brand A manufactured by China Tobacco Guizhou Industrial Corporation in 2017 were analyzed by means of factor analysis, curve fitting, distance correlation analysis and cluster analysis. The results showed that: 1) The comprehensive score curve of chemical component factors of each maintained blend could represent quantitatively the chemical components and sensory quality of the cigarette blend to facilitate the retrospective evaluation at the later stage of blend maintenance. 2) Through the distance correlation analysis of comprehensive score of chemical component factors, the extent of the difference between the chemical components in the maintained blends could be determined, and the fitness of each maintained blend could be judged intuitively and compared numerically. 3) In the long term of daily cigarette blend maintenance, the cluster analysis of factor comprehensive score could provide supports for maintaining the consistency and initial characters of chemical components in tobacco blends.
In order to investigate the influences of chemical component variation in blended tobacco on cigarette blend maintenance, the chemical components in blended tobacco of 13 maintained blends of cigarette brand A manufactured by China Tobacco Guizhou Industrial Corporation in 2017 were analyzed by means of factor analysis, curve fitting, distance correlation analysis and cluster analysis. The results showed that: 1) The comprehensive score curve of chemical component factors of each maintained blend could represent quantitatively the chemical components and sensory quality of the cigarette blend to facilitate the retrospective evaluation at the later stage of blend maintenance. 2) Through the distance correlation analysis of comprehensive score of chemical component factors, the extent of the difference between the chemical components in the maintained blends could be determined, and the fitness of each maintained blend could be judged intuitively and compared numerically. 3) In the long term of daily cigarette blend maintenance, the cluster analysis of factor comprehensive score could provide supports for maintaining the consistency and initial characters of chemical components in tobacco blends.
引文
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[2]吴文斗,杨志雷,王超,等.烟叶氨基酸、质体色素和多酚含量与评吸质量的相关性分析[J].云南农业大学学报,2013,28(3):353-359.WU Wendou,YANG Zhilei,WANG Chao,et al.Correlation analysis of amino acids,chromoplast pigment and polyphenol contents in tobacco leaf with smoking quality[J].Journal of Yunnan Agricultural University,2013,28(3):353-359.
[3]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.ZHAO Huawu,HE Fan,LI Zuliang,et al.Modeling of aroma quality evaluation of flue-cured tobacco based on principal component analysis[J].Acta Agriculturae Boreali-Occidentalis Sinica,2012,21(2):88-93.
[4]马京明,刘国顺,时向东,等.主成分分析和聚类分析在烟叶质量评价中的应用[J].烟草科技,2009(7):57-60.MA Jingming,LIU Guoshun,SHI Xiangdong,et al.Application of principal component analysis and cluster analysis in tobacco quality evaluation[J].Tobacco Science&Technology,2009(7):57-60.
[5]王放,梁开朝,黄谨,等.烤烟烟叶化学成分与产区关系的聚类分析研究[J].中国烟草科学,2009,30(2):57-61.WANG Fang,LIANG Kaichao,HUANG Jin,et al.Cluster analysis on relationship between tobacco growth region and chemical compositions of flue-cured tobacco leaves[J].Chinese Tobacco Science,2009,30(2):57-61.
[6]李国栋,胡建军,周冀衡,等.基于主成分和聚类分析的烤烟化学品质综合评价[J].烟草科技,2008(12):5-9,13.LI Guodong,HU Jianjun,ZHOU Jiheng,et al.Comprehensive evaluation of flue-cured tobacco chemical quality based on principal component analysis and cluster analysis[J].Tobacco Science&Technology,2008(12):5-9,13.
[7]江厚龙,陈涛,马红辉,等.重庆烟区烤烟感官品质主要影响因子分析[J].烟草科技,2014(6):87-92.JIANG Houlong,CHEN Tao,MA Honghui,et al.Analysis of main factors influencing sensory quality of flue-cured tobacco in Chongqing growing areas[J].Tobacco Science&Technology,2014(6):87-92.
[8]薛超群,王建伟,奚家勤,等.烤烟烟叶理化指标与焦甜感程度的关系[J].烟草科技,2011(12):9-13.XUE Chaoqun,WANG Jianwei,XI Jiaqin,et al.Relationship between physical-chemical indexes and burnt sweet taste of flue-cured tobacco leaves[J].Tobacco Science&Technology,2011(12):9-13.
[9]薛琳,朱启法,季学军,等.皖南烤烟烟叶化学成分与感官品质的相关性[J].烟草科技,2016,49(11):26-32.XUE Lin,ZHU Qifa,JI Xuejun,et al.Correlation of chemical components with overall sensory quality of tobacco leaves in South Anhui[J].Tobacco Science&Technology,2016,49(11):26-32.
[10]杨超,惠建权,王芳,等.基于因子分析及曲线估计的卷烟叶组化学成分品质评价[J].烟草科技,2017,50(12):77-84.YANG Chao,HUI Jianquan,WANG Fang,et al.Quality evaluation of chemical components in cigarette blend based on factor analysis and curve estimation[J].Tobacco Science&Technology,2017,50(12):77-84.
[11]张红坡,张海峰.SPSS统计分析实用宝典[M].北京:清华大学出版社,2012.ZHANG Hongpo,ZHANG Haifeng.SPSS statistical analysis practical collection[M].Beijing:Tsinghua University Press,2012.