摘要：為解決多因素內(nèi)在化學(xué)成分對(duì)不同品種煙葉的影響分析，為實(shí)現(xiàn)生產(chǎn)過(guò)程質(zhì)量均勻化奠定基礎(chǔ)，通過(guò)ANTARIS II近紅外光譜儀采集不同等級(jí)的成品煙葉煙堿、總糖、還原糖、總氮、K和CL六種化學(xué)成分含量。采用灰熵關(guān)聯(lián)分析方法，分析分為七個(gè)步驟：通過(guò)對(duì)原始數(shù)據(jù)進(jìn)行規(guī)格化處理；計(jì)算出不同等級(jí)煙葉的各評(píng)價(jià)指標(biāo)相對(duì)于最優(yōu)參考序列、最差參考序列的關(guān)聯(lián)系數(shù)；計(jì)算不同等級(jí)煙葉不同指標(biāo)關(guān)聯(lián)系數(shù)密度分布值；根據(jù)每種指標(biāo)所占的權(quán)重計(jì)算權(quán)重密度分布值；計(jì)算灰色關(guān)聯(lián)熵；計(jì)算灰色熵關(guān)聯(lián)度；形成不同等級(jí)成品煙葉樣品的相對(duì)關(guān)聯(lián)度，根據(jù)灰色熵關(guān)聯(lián)度進(jìn)行不同等級(jí)煙葉的聚類分析。以麒麟復(fù)烤廠的23個(gè)等級(jí)成品煙的六個(gè)化學(xué)成分為分析對(duì)象，最后聚為五個(gè)類別，每個(gè)類別在六個(gè)指標(biāo)含量上總是最接近的。通過(guò)把灰色熵關(guān)聯(lián)方法建立的煙葉聚類模型與傳統(tǒng)感官品吸結(jié)論進(jìn)行比較，證實(shí)通過(guò)灰色熵關(guān)聯(lián)方法建立的煙葉聚類模型與傳統(tǒng)品吸結(jié)論比較吻合，可以用此方法對(duì)選后煙葉進(jìn)行分析，建立復(fù)烤加工配方的參考模型，有利于提高配方的科學(xué)性，在均質(zhì)化生產(chǎn)模型建立上邁進(jìn)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(guān)鍵詞：煙葉內(nèi)在化學(xué)成分；加權(quán)；灰熵關(guān)聯(lián)分析；聚類分析
　　Key words： tobacco leaf internal chemical composition；weighting；gray entropy correlation analysis；cluster analysis

相關(guān)熱詞搜索：煙葉 成品 內(nèi)在 化學(xué)成分 分析