烟叶抗破碎指数与物理特性的关联性分析
Correlation analysis of tobacco leaves and physical characteristics
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摘要:为研究烟叶抗破碎指数与其物理特性的关联性,对烟叶抗破碎指数和物理特性指标进行相关性分析、因子分析和灰色关联度分析,依据分析结果对不同产地不同等级烟叶样品进行聚类分析。结果表明:1)烟叶抗破碎指数与抗张强度、延伸率、回复性、厚度呈显著正相关,与脆性、剪切力、凝聚性、弹性、黏附力、穿透力呈显著负相关。2)从12种物理特性中提取出Fac-1(由抗张强度、凝聚性、弹性、回复性、黏附力、穿透力决定),Fac-2(由剪切力、厚度决定),Fac-3(由延伸率、脆性和硬度决定)和Fac-4(由胶着性决定)4个公因子,累积贡献率为88.201%,其中Fac-1贡献率明显高于其他3个公因子;根据公因子的贡献率及因子得分系数矩阵,建立烟叶物理特性指标综合因子得分模型 F=0.46F Fac-1+0.23 F Fac-2+0.20 F Fac-3+0.11 F Fac-4。3)对烟叶抗破碎指数影响最大的是Fac-3,影响最小的是Fac-4。4)聚类分析可将烟叶样品分为4类,每类烟叶综合物理特性较为接近,在烟叶加工中可以调整工艺参数按类分组加工以降低烟叶过程造碎。Abstract:In order to study the relationships between shatter resistance index and physical characteristics of tobacco leaves, correlation analysis, factor analysis, and gray correlation analysis were carried out on the tobacco leaves shatter resistance index and physical characteristics index, and the tobacco leaves of different regions were grouped according to the analysis results. The result showed as follows: shatter resistance index of tobacco leaves was significantly positively correlated with tensile strength, elongation, recovery, and thickness, and significantly negatively correlated with brittleness, shear force, cohesion, elasticity, adhesion, and penetration. Fac-1 (determined by tensile strength, cohesion, elasticity, recovery, adhesion, penetration), Fac-2 (determined by shear force, thickness), Fac-3(determined by elongation, brittleness and hardness) and Fac-4 (determined by adhesion) common factors were extracted from 12 physical characteristics, and the cumulative contribution rate was 88.201%, the contribution rate of Fac-1 is significantly higher than the other three common factors, indicating that Fac-1 had the most significant impact. According to the contribution rate of the common factors and the factor score coefficient matrix, the comprehensive factor score model of the physical characteristics of tobacco leaf was established as F=0.46FFac-1+0.23FFac-2+0.20FFac-3+0.11FFac-4.Fac-3 had the greatest impact on the shatter resistance index of tobacco leaves, and Fac-4 had the least impact. According to cluster analysis, the tobacco leaves were divided into 4 categories, so that the comprehensive physical characteristics of the same category of tobacco leaves were closer, and the process parameters could be adjusted and processed into groups to reduce the breaking of tobacco leaves during processing.
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