固相支持液液萃取-GC-MS结合化学计量学鉴别云南和津巴布韦烟草提取物  

Identification of Yunnan and Zimbabwe tobacco extracts by solid-phase supported liquid-liquid extraction-GC-MS combined with chemometrics

作　　者：张华[1] 王晨辉[1] 李炜 刘琪[1] 张媛[1] 秦艳华[1] 朱怀远[1] 廖惠云[1] ZHANG Hua;WANG Chenhui;LI Wei;LIU Qi;ZHANG Yuan;QIN Yanhua;ZHU Huaiyuan;LIAO Huiyun(China Tobacco Jiangsu Industrial Co.,Ltd.,Nanjing 210019,China)

机构地区：[1]江苏中烟工业有限责任公司,南京市210019

出　　处：《烟草科技》2022年第12期33-45,共13页Tobacco Science & Technology

基　　金：江苏中烟工业有限责任公司对外合作科技创新项目“烟草浸膏芳香物组群的渗透汽化膜分离提取及应用研究”(H202111);江苏中烟工业有限责任公司科技创新项目“细支卷烟中香精料液代表性组分释放转移分析及应用研究”(201704)。

摘　　要：为客观鉴别不同产地烟草提取物,采用固相支持液液萃取(SLE)-气相色谱-质谱法提取云南、津巴布韦和其他产地烟草提取物中挥发性和半挥发性成分,结合化学计量学手段探究样品目标组分差异性,并筛选可用于表征不同产地烟草提取物的特征组分。结果表明:(1)共鉴定出125个化学成分,其中,除质量分数最高的烟碱外,还包括醇类化合物19个、酯类26个、醛类4个、酮类22个、酸类7个、烷烃类19个、烯烃类3个、酚类5个、胺类8个、醚类2个和其他类化合物9个;(2)主成分和聚类热图分析不能对3组烟草提取物进行有效区分,正交偏最小二乘法判别分析(OPLS-DA)模型能够有效区分不同组烟草提取物,且能够对云南、津巴布韦及其他产地烟草提取物进行鉴别,模型训练和预测的准确度均为100%;(3)经变量重要性投影值(VIP>1)和单因素方差分析(P<0.05),共筛选出16个差异化合物,其中,云南、津巴布韦和其他产地烟草提取物中分别筛选出3个、1个和2个可有效表征烟草提取物产地的特征组分。该方法具有客观、准确度高的特点,可用于烟草提取物的质量鉴别和产地溯源。In order to objectively identify the chemical fingerprints of tobacco extracts from different growing areas, solid-phase supported liquid-liquid extraction(SLE) and gas chromatography-mass spectrometry(GC-MS)were used to analyze the volatile and semi-volatile components in the tobacco extracts from Yunnan, Zimbabwe and other areas. Combined with chemometrics, the differences of target components in the tobacco extract samples were investigated, and the characteristic components that could be used to characterize tobacco extracts from these different areas were screened out based on the analytical techniques. The results showed that: 1)In total of 125 components were identified, including19 alcohols, 26 esters, 4 aldehydes, 22 ketones, 7 acids, 19 alkanes, 3 alkenes, 5 phenols, 8 amines, 2ethers and 9 other compounds, in addition to nicotine which had the highest mass fraction. 2)Principal component and cluster heat map analysis could not effectively distinguish three groups of the tobacco extract samples. When the orthogonal partial least squares discriminant analysis(OPLS-DA)prediction model was applied, and effective distinguishment of the different tobacco extract samples was achieved with the identity of the three tobacco origins. The accuracies of the model training and prediction were100%. 3)Sixteen differential compounds were identified by variable importance projection value(VIP>1)and one-way ANOVA(P<0.05), in which three, one and two characteristic components were mapped from the extract samples from Yunnan, Zimbabwe and the other areas, respectively. With the advantages of objectivity and high accuracy, this method could be used for quality, sample identification and origin traceability of different tobacco extracts.

关 键 词：烟草提取物 固相支持液液萃取 气相色谱-质谱联用 化学计量学 产地鉴别 

分 类 号：TS411.1[农业科学—烟草工业]