摘要
本文以同一品牌两种酱香型白酒为例,建立了基于现代分析仪器结合代谢组学技术判定不同白酒挥发性差异成分的方法。采用顶空箭型固相微萃取-气相色谱质谱联用(Headspace Solid-Phase Microextraction-Arrow-Gas Chromatography-Mass Spectrometry,HS-SPME-Arrow-GC-MS)对挥发性成分进行定性定量分析,两种酒样均检出15类229个成分,主成分分析显示两种酒样分离明显,存在可用于酒样区分的差异,提取到的3个主成分的累计可解释差异达92.73%。运用正交偏最小二乘法判别分析建立模型,经显著性筛查,两酒样间存在79个挥发性差异成分,1915酒样中26个成分相对含量高于GB,53个成分低于GB。最后,通过对差异成分的含量倍数进行对数处理进一步明晰了两种白酒差异最大的前20个成分。本研究建立的白酒挥发性成分差异分析方法简单明了,可为白酒的真伪鉴别和品质评定提供依据和参考。
Taking two Maotai-flavor Chinese baijiu of the same brand as an example,a method based on modern analytical instruments combined with metabolomics to determine the volatile components of different Chinese baijiu has been established.HS-SPME-Arrow-GC-MS was applied to carry out qualitative and quantitative analysis of volatile components,and 15 types of 229 components were detected in both wine samples.Principal component analysis showed that the two wine samples were clearly separated and there was something that could be used to distinguish wine samples,and the cumulative difference of the three principal components extracted can explain 92.73%of the difference.Using orthogonal partial least squares discriminant analysis to establish a model,79 volatile components between the two wine samples after significant screening were found,among which the relative content of 26 components in the 1915 wine sample is higher than GB,and 53 components are lower than GB.Finally,through the logarithmic processing of the content multiples of the different components,the top 20 components with the largest difference between the two liquors were further clarified.The method for analyzing the difference of volatile components in Chinese baijiu established in this study is simple and clear,which can provide basis and reference for authenticity identification and quality evaluation of Chinese baijiu.
作者
张春生
赵文静
董良飞
施蕊
ZHANG Chunsheng;ZHAO Wenjing;DONG Liangfei;SHI Rui(School of Tourism and Hotel Management,Yunnan University of Finance and Economics,Kunming 650221,China;School of Statistics and Mathematics,Yunnan University of Finance and Economics,Kunming 650221,China;College of Horticulture and Landscape Architecture,Southwest Forestry University,Kunming 650224,China)
出处
《现代食品》
2022年第4期178-184,共7页
Modern Food
基金
云南省教育厅科学研究基金项目(2018JS318、2022J0479)。
