摘要
为了解烤烟烟叶各项化学指标与其吸湿性间的关系,检测了76种国内外烤烟烟叶样品的吸湿、解湿平衡含水率、总糖、还原糖、总氮、烟碱、氯、钾、pH,并对检测数据进行了简单相关分析、灰色关联度分析和典型相关分析。结果表明:①烤烟烟叶的吸湿、解湿含水率与其总糖、还原糖、pH达到极显著正相关,与钾达极显著负相关,吸湿含水率与总氮达极显著负相关,解湿含水率与总氮达显著负相关,吸湿、解湿含水率与烟碱、氯之间的关系均不显著;②烤烟烟叶的吸湿和解湿含水率与其各化学指标的灰色关联度从大到小的顺序均为总糖、还原糖、pH、氯、烟碱、总氮、钾;③烟叶化学指标对典型变量的载荷量大小顺序为总糖、pH、还原糖、烟碱、氯、钾、总氮。烤烟烟叶的总糖、还原糖含量及pH与其吸湿性间的关系最密切,烟碱、总氮、氯、钾含量也能从一定程度上反映或影响吸湿性。
In order to investigate the relationship between the chemical indexes and hygroscopicity of flue- cured tobacco, the absorption equilibrium moisture content (AEMC) and desorption equilibrium moisture content (DEMC), total sugar, reducing sugar, total nitrogen, nicotine, chlorine, potassium and pH of seventy-six domestic and imported flue-cured tobacco samples were tested, and the simple correlation analysis, gray correlation analysis and canonical correlation analysis of the obtained data were carried out. The results indicated that : 1 ) the AEMC and DEMC of flue-cured tobacco extremely significantly positively correlated with its total sugar, reducing sugar and pH, while extremely significantly negatively correlated with potassium, AEMC extremely significantly negatively correlated and DEMC significantly negatively correlated with total nitrogen; their relationships with nicotine and chlorine were not obvious; 2) the chemical components in the order of correlation with AEMC and DEMC were total sugar 〉 reducing sugar 〉 pH 〉 chlorine 〉 nicotine 〉 total nitrogen 〉 potassium ; 3) the chemical components in the order of load capacity to canonical variables were total sugar 〉 pH 〉 reducing sugar 〉 nicotine 〉 chlorine 〉 potassium 〉 total nitrogen. The hygroscopicity of flue-cured tobacco was more closely related with its total sugar, reducing sugar contents and pH, however, nicotine, total nitrogen, chlorine and certain extent potassium would reflect or affect hygroscopicity to a
出处
《烟草科技》
EI
CAS
北大核心
2011年第2期43-46,共4页
Tobacco Science & Technology
关键词
烤烟
化学指标
平衡含水率
简单相关分析
灰色关联度分析
典型相关分析
Flue-cured tobacco
Chemical index
Equilibrium moisture content
Simple correlation analysis
Gray correlation analysis
Canonical correlation analysis