摘要
根据烟叶感官质量对湖南郴州烟叶样品进行聚类分析,结合感官质量和烟叶常规化学成分相关性,预测湖南郴州烟叶常规化学成分的适宜范围。结果表明:总氮、总糖、还原糖含量分别与香气质、杂气、刺激性、余味呈显著相关关系;烟碱含量与香气质和余味呈显著相关关系;钾含量与香气质和杂气呈显著相关关系。对于中部烟叶:烟碱含量在1.69%~3.06%时,香气质和余味较好;总氮含量在1.51%~2.21%、还原糖含量在21.64%~29.68%、总糖含量在22.64%~30.92%时,烟叶的香气质、杂气、刺激性、余味表现较好;钾含量在1.71%~2.40%时,烟叶的香气质和杂气表现较好。对于上部烟叶:烟碱含量在2.83%~4.3%时,香气质和余味较好;总氮含量在1.79%~2.79%、还原糖含量在9.52%~19.84%、总糖含量在10.27%~21.77%时,烟叶的香气质、杂气、刺激性、余味表现较好;钾含量在1.98%~2.69%时,烟叶的香气质和杂气表现较好。
According to the sensory quality of Chenzhou tobacco leaves in Hunan Province,cluster analysis was carried out to predict the suitable range of the conventional chemical composition of Chenzhou tobacco leaves.The results showed that the contents of total nitrogen,total sugar and reducing sugar were significantly correlated with fragrance temperament,miscellaneous gas,irritant and aftertaste respectively;nicotine content was significantly correlated with fragrance temperament and aftertaste;potassium content was significantly correlated with fragrance temperament and miscellaneous gas respectively.For middle tobacco:when nicotine content was 1.69%~3.06%,aroma quality and aftertaste were better;when total nitrogen content was 1.51%~2.21%,reducing sugar content was 21.64%~29.68%,total sugar content was 22.64%~30.92%,aroma quality,miscellaneous gas,irritant and aftertaste were better;when potassium content was 1.71%~2.40%,aroma quality and miscellaneous gas were better.For the upper leaves:when the nicotine content was 2.83%~4.3%,the aroma quality and aftertaste were better;when the total nitrogen content was 1.79%~2.79%,the reducing sugar content was 9.52%~19.84%,and the total sugar content was 10.27%~21.77%,the aroma quality,miscellaneous gas,irritant and aftertaste were better;when the potassium content was 1.98%~2.69%,the aroma quality and miscellaneous gas were better.
作者
刘帅东
徐磊
赵龙
朱浩
LIU Shuaidong;XU Lei;ZHAO Long;ZHU Hao(Technology Center,China Tobacco of Shaanxi Industrial Co.,Ltd.,Baoji Shaanxi 721013)
出处
《河南科技》
2020年第19期28-31,共4页
Henan Science and Technology
关键词
烟叶
化学成分
感官质量
相关性
聚类分析
tobacco
conventional chemical compoents
sensory quality
correlation
cluster analysis
