霉变烟叶的GC-MS和FTIR分析及鉴别  

GC-MS and FTIR Analysis and Identification of Moldy Tobacco Leaves

作　　者：叶艳青 张海瑜 沈迪 乐志伟 吴玉萍[4] 孔光辉[4] 张建荣 田孟玉 陈建华 张承明 王晋 YE Yan-qing;ZHANG Hai-yu;SHEN Di;LE Zhi-wei;WU Yu-ping;KONG Guang-hui;ZHANG Jian-rong;TIAN Meng-yu;CHEN Jian-hua;ZHANG Cheng-ming;WANG Jin(School of Chemistry and Environment,Yunnan Minzu University,Kunming 650504,China;Technical Center,Yunnan Tobacco Industry Co.,Ltd.,Kunming 650106,China;Kunming Cigarette Factory,Hongyun Honghe Tobacco(Group)Co.,Ltd.,Kunming 650231,China;Yunnan Tobacco Agricultural Science Research Institute,Kunming 650031,China)

机构地区：[1]云南民族大学化学与环境学院,云南昆明650504 [2]云南中烟工业责任公司技术中心,云南昆明650106 [3]红云红河烟草(集团)有限责任公司昆明卷烟厂,云南昆明650231 [4]云南省烟草农业科学研究院,云南昆明650031

出　　处：《光谱学与光谱分析》2025年第1期88-94,共7页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金地区基金项目(32360115)资助。

摘　　要：采用GC-MS和FTIR分析,结合PCA、PLS等多元分析方法,对霉变烟叶进行评价鉴别。GC-MS分析筛选得到2-乙基己醇等9个烟叶霉变标记物。通过4-羟基丁酸内酯等9个关键化合物构建的线性判别方程,可以实现烟叶霉变准确识别,初始验证准确率100%和留一交叉验证准确率为98.7%。FTIR研究表明,烟叶霉变过程中消耗了烟叶大量的碳水化合物、蛋白质和脂质等。GC-MS和FTIR,分别结合PCA和PLS-DA能实现霉变烟叶的有效判别。GC-MS and FTIR analysis,combined with multivariate analysis methods such as PCA and PLS,were used to evaluate and identify moldy tobacco leaves.GC-MS analysis screened 9 markers of tobacco leaf mold,including 2-ethylhexanol.The linear discriminant equation constructed by 9 key compounds,such as 4-hydroxybutyrolactone,can accurately identify tobacco leaf mold,with an initial validation accuracy of 100%and a cross-validation accuracy of 98.7%.FTIR studies have shown that the moldy process of tobacco leaves consumes a large amount of carbohydrates,proteins,and lipids.GC-MS and FTIR,combined with PCA and PLS-DA respectively,can effectively distinguish moldy tobacco leaves.

关 键 词：霉变烟叶 气相色谱-质谱联机 傅里叶变换红外光谱 多元统计分析 

分 类 号：O65[理学—分析化学]