安徽农业科学

为了提高滞库片烟的应用技术水平，选取10个产区库存4年以上的片烟模块共52个，对这些模块的常规化学成分、多酚类物质、中性致香成分等14项化学指标进行了分析，并运用主成分分析法提取了4个主成分，依据综合得分对烟叶进行聚类。结果表明，所提取的4个主成分的方差累计贡献率达到82.921%。以距离系数9.0作为分类标准，可将所有烟叶样品分为5类，各类之间化学指标存在显著差异。其中，第5类烟叶样品具有糖含量高、氮含量低、香味成分含量低的化学品质特征，按照库存比例进行混配，经添加1%的复合蛋白酶和0.07%的烟草提取物发酵处理后，其感官品质明显改善，工业可用性得到提升，许多Amadori化合物含量也有不同程度增加。

In order to improve the application technical level of long-time stored flue-cured tobacco lamina, a total of 52 tobacco lamina modules from 10 production areas which had been in stock for more than 4 years were selected, and 14 chemical indicators such as conventional chemical components, polyphenols, and neutral aroma components were analyzed. Four principal components were extracted by using the principal component analysis method, and the samples were clustered based on the comprehensive scores. The results showed that the cumulative contribution rate of variance of the four extracted principal components reached 82.921%. Taking the distance coefficient of 9.0 as the classification standard, all samples could be divided into 5 categories, and there were significant differences in chemical indicators among the various categories. Among them, the fifth category of samples had the chemical quality characteristics of high sugar content, low nitrogen content, and low content of aroma components. After blending according to the stock proportion and adding 1% compound protease and 0.07% tobacco extract for treatment, the sensory quality of the blending module was significantly improved, the industrial usability was enhanced, and the contents of many Amadori compounds increased to varying degrees.