摘要
【目的】挥发性香气成分作为烟气组分的前体物质,影响着烟草感官评吸质量,通过对赣州烤烟样品中的挥发性化合物含量进行分析,挖掘不同产地烟叶中挥发性化合物的含量规律并进行产地预报分类,从而实现对烟草的质量控制。【方法】通过静态顶空-气相色谱-质谱联用测定赣州6个产烟区县(石城、瑞金、安远、会昌、兴国、信丰)共62个烤烟样品中的54种挥发性化合物含量,采用主成分分析(Principal component analysis, PCA)对样品产地进行分类,用遗传算法(Genetic algorithm, GA)进行变量筛选,用线性判别分析(Linear discriminant analysis, LDA)、反传-人工神经网络(Back propagation-artificial neural network, BPANN)、最小二乘-支持向量机(Least squares-support vector machines, LS-SVM)3种有监督模式识别方法进行产地预报。【结果】直接对样品进行PCA,分类效果并不理想;采用GA对挥发性化合物含量进行变量筛选后得到11个变量,分类效果得到显著改善,结合分类结果分析了来自不同区县的样品中挥发性化合物的含量规律。BP-ANN和LS-SVM的预报正确率分别达到96.8%和98.4%,展现了较好的实际使用价值,据此建立了赣州烤烟样品的产地鉴别模型。【结论】该方法可以较为准确地判定赣州烤烟样品的来源,同时可以找到不同产地烤烟挥发性化合物的含量规律,亦可用于全国各地烤烟的香型风格监测和质量控制。
【Objective】 As precursor substances of flue gas components, volatile aroma components can affect the quality of tobacco sensory evaluation. The aims of this study were to analyze the content of volatile compounds in fluecured tobacco samples from Ganzhou, to explore the content regulation of volatile compounds in tobacco leaves of different producing areas, and to predict the origin classification of samples so as to achieve quality control of tobacco.【Methods】 54 kinds of volatile compounds of 62 flue-cured tobacco samples from 6 tobacco-producing counties(Shicheng, Ruijin, Anyuan, Huichang, Xingguo, Xinfeng) in Ganzhou were measured by static headspace-gas chromatography-mass spectrometry method(HS-GC-MS). Subsequently, principal component analysis(PCA) was used for classification of sample origins, genetic algorithm (GA) was used for variable screening, and three supervised pattern recognition methods, namely, linear discriminant analysis (LDA), back propagation-artificial neural network (BP-ANN) and least squares-support vector machines (LS-SVM) were used for origin prediction.【Results】 The classification effect by PCA, which was contributed to explore the content regulation of volatile compounds of samples in Ganzhou, was significantly improved after obtaining 11 volatile compounds (variables) by GA. The prediction accuracy rates of BP-ANN and LS-SVM reached 96.8% and 98.4%, respectively, which showed good practical application value. On this basis, the identification model for the origin of flue-cured tobacco of Ganzhou was established.【Conclusion】 The method proposed in this paper can accurately determine the origins of flue-cured tobacco samples from Ganzhou, find the content regulation of volatile compounds among different origins, and be used for the monitoring of flavor patterns and the quality control of flue-cured tobacco across the country.
作者
李卓
张雄峰
孙瑞玲
杏朝刚
张棋
张启明
焦绍赫
LI Zhuo;ZHANG Xiongfeng;SUN Ruiling;XING Chaogang;ZHANG Qi;ZHANG Qiming;JIAO Shaohe(Tobacco Science Institute of Jiangxi Province,Nanchang 330000,China;Environmental Monitoring Center Station of Gansu Province,Lanzhou 730020,China;Analysis Center of Agrobiology and Environmental Sciences,Zhejiang University,Hangzhou 310058,China;Luzhou Evironmental Monitoring Certer,Luzhou 64600,China)
出处
《广东农业科学》
CAS
2019年第4期130-137,共8页
Guangdong Agricultural Sciences
基金
江西省烟草专卖局重点项目(赣烟201301006)
关键词
烤烟样品
顶空-气质联用
挥发性化合物
化学计量学
产地预报
flue-cured tobacco
headspace-gas chromatography-mass spectrometry
volatile compounds
chemometrics
origin-identified prediction
