摘要：為解決多因素內在化學成分對不同品種煙葉的影響分析，為實現(xiàn)生產(chǎn)過程質量均勻化奠定基礎，通過ANTARIS II近紅外光譜儀采集不同等級的成品煙葉煙堿、總糖、還原糖、總氮、K和CL六種化學成分含量。采用灰熵關聯(lián)分析方法，分析分為七個步驟：通過對原始數(shù)據(jù)進行規(guī)格化處理；計算出不同等級煙葉的各評價指標相對于最優(yōu)參考序列、最差參考序列的關聯(lián)系數(shù)；計算不同等級煙葉不同指標關聯(lián)系數(shù)密度分布值；根據(jù)每種指標所占的權重計算權重密度分布值；計算灰色關聯(lián)熵；計算灰色熵關聯(lián)度；形成不同等級成品煙葉樣品的相對關聯(lián)度，根據(jù)灰色熵關聯(lián)度進行不同等級煙葉的聚類分析。以麒麟復烤廠的23個等級成品煙的六個化學成分為分析對象，最后聚為五個類別，每個類別在六個指標含量上總是最接近的。通過把灰色熵關聯(lián)方法建立的煙葉聚類模型與傳統(tǒng)感官品吸結論進行比較，證實通過灰色熵關聯(lián)方法建立的煙葉聚類模型與傳統(tǒng)品吸結論比較吻合，可以用此方法對選后煙葉進行分析，建立復烤加工配方的參考模型，有利于提高配方的科學性，在均質化生產(chǎn)模型建立上邁進重要的一步。
　　Abstract： In order to solve the influence of multi-factor intrinsic chemical composition on different varieties of tobacco leaves， and lay the foundation for achieving the homogenization of the production process the nicotine， different levels of finished tobacco tobacco nicotine， total sugar， reducing sugar， total nitrogen， K and CL six chemical composition content were obtained by ANTARIS II near infrared spectroscopy. Using the gray entropy correlation analysis method， the analysis is divided into seven steps： normalizing the raw data； calculating the correlation coefficient of the evaluation index of different grades of tobacco leaves relative to the optimal reference sequence and the worst reference sequence； calculating different grades and the relative entropy degree of the samples with different grades of finished tobacco leaves， according to the gray entropy correlation degree， the gray entropy correlation degree， the gray entropy correlation degree， the gray entropy correlation degree， the gray entropy correlation degree， the gray entropy correlation degree， Clustering analysis of different grades of tobacco leaves. The six chemical constituents of the 23 grade grades of the Kirin re-drying factory were analyzed for the five categories， each of which was always the closest to the six indicators. he tobacco leaf clustering model established by the gray entropy correlation method was compared with the traditional sensory absorption theory. It was confirmed that the tobacco leaf clustering model established by the gray entropy correlation method was consistent with the traditional method. This method can be used to analyze post-election tobacco leaves， the establishment of re-roasting processing formula reference model is conducive to improving the scientific formula， and in the homogenization of the establishment of an important step in the production model.
　　關鍵詞：煙葉內在化學成分；加權；灰熵關聯(lián)分析；聚類分析
　　Key words： tobacco leaf internal chemical composition；weighting；gray entropy correlation analysis；cluster analysis

相關熱詞搜索：煙葉 成品 內在 化學成分 分析