摘要
目的:建立了气相色谱-离子迁移谱(Gas chromatography-ion mobility spectroscopy, GC-IMS)技术结合化学计量学分析快速区分不同年份酱香型白酒的方法。方法:采用GC-IMS技术对多批次不同年份的酱香型酿造白酒样本中挥发性有机物进行分析,通过对比挥发性有机物含量差异快速生成指纹图谱,并通过PCA-CA分析实现样本的快速区分。结果:将白酒中检测到的化合物峰利用NIST 2014气相保留指数数据库与IMS迁移时间数据库进行准确的二维定性后共鉴别出包含单体和二聚体在内的共53个挥发性有机物。挥发性有机物指纹图谱对比结果显示不同年份样本中所含化合物的种类和含量差异较大,采用PCA分析可以实现不同年份原酒和老熟酒的正确区分,采用主成分分析-聚类分析(Principal component analysis-cluster analysis, PCA-CA)处理结果进一步明确了区分结果的准确性。结论:该方法直观、快速、准确,为酿造白酒的年份区分提供了方法和技术支持。
Objective:In this work,a method based on gas chromatography-ion mobility spectroscopy(GC-IMS)combined with chemometrics was established and applied to the rapid discrimination of the years of sauce-flavored liquor.Methods:GC-IMS was employed to the rapid analysis of the volatile organic compounds(VOC_(S))from liquor samples.Gallery-plot,also called fingerprints,was constructed and characterized the difference of the VOC_(S) for different years samples via the colored spots,and applied to the discrimination of liquor years combined with PCA-CA analysis.Results:A total of 53 volatiles including monomers and dimers were identified via the NIST 2014 database of gas retention index and the database of IMS migration time for accurate two-dimensional characterization.The comparison results of VOC_(S) fingerprints showed that the types and contents of the compounds contained in different samples were quite different,the PCA results indicated that the samples of different years could be differentiated correctly,the PCA-CA processing results further clarified the differences and the accuracy of distinguishing results.Conclusion:This method was intuitive,fast and accurate,and would provide the method and technical support for the distinction of brewing liquor.
作者
张敏敏
路岩翔
赵志国
崔莉
闫慧娇
王晓
赵恒强
ZHANG Minmin;LU Yanxiang;ZHAO Zhiguo;CUI Li;YAN Huijiao;WANG Xiao;ZHAO Hengqiang(Shandong Analysis and Test Center,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250014,China;School of Pharmaceutical Sciences,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250014,China;Jina Administrative Examination and Approval Department,Jinan 250001,China)
出处
《食品工业科技》
CAS
北大核心
2021年第14期226-232,共7页
Science and Technology of Food Industry
基金
山东省重点研发计划(医用食品)(2018YYSP012)
山东省重点研发计划(2019GSF108062,2019GSF108035)
山东省泰山学者岗位资助(郭兰萍)
山东省科学院先导专项(郭兰萍)。
