Rapid Discrimination of Different Years of Brewing Liquor by Gas Chromatography-Ion Mobility Spectroscopy Combined with Chemometrics Method

ZHANG Minmin; LU Yanxiang; ZHAO Zhiguo; CUI Li; YAN Huijiao; WANG Xiao; ZHAO Hengqiang

doi:10.13386/j.issn1002-0306.2020080205

Volume 42 Issue 14

Jul. 2021

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Science and Technology of Food Industry > 2021 > 42(14): 226-232. > DOI: 10.13386/j.issn1002-0306.2020080205

ZHANG Minmin, LU Yanxiang, ZHAO Zhiguo, et al. Rapid Discrimination of Different Years of Brewing Liquor by Gas Chromatography-Ion Mobility Spectroscopy Combined with Chemometrics Method[J]. Science and Technology of Food Industry, 2021, 42(14): 226−232. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2020080205.

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Rapid Discrimination of Different Years of Brewing Liquor by Gas Chromatography-Ion Mobility Spectroscopy Combined with Chemometrics Method

ZHANG Minmin^{1, 2,},
LU Yanxiang³,
ZHAO Zhiguo^{1, 2},
CUI Li^{1, 2},
YAN Huijiao^{1, 2},
WANG Xiao^{1, 2},
ZHAO Hengqiang^{1, 2, ,}

1.
Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
2.
School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
3.
Jina Administrative Examination and Approval Department, Jinan 250001, China

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Received Date: August 20, 2020
Available Online: May 24, 2021

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Abstract

Abstract

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.

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[1]	陈志宏, 张汆, 徐有山. 白酒中风味物质分析研究进展[J]. 中国酿造,2020,39(6):13−16. doi: 10.11882/j.issn.0254-5071.2020.06.003
[2]	程娇娇. 不同年份赊店酒香气模型的建立及其对比分析[D]. 新乡: 河南科技学院, 2018.
[3]	陈晨. 怀藏酱酒香气物质研究[D]. 广州: 华南理工大学, 2017.
[4]	代金凤, 罗政, 文春平, 等. 不同贮藏环境对浓香型白酒品质的影响[J]. 中国酿造,2019,38(5):23−26. doi: 10.11882/j.issn.0254-5071.2019.05.005
[5]	奚留华. 几种白酒年份酒的荧光特性分析及其应用[D]. 无锡: 江南大学, 2016.
[6]	宋鑫澍, 陈国庆, 朱焯炜, 等. 3维荧光光谱测定白酒年份酒中乙酸的体积分数[J]. 激光技术,2018,42(4):531−535. doi: 10.7510/jgjs.issn.1001-3806.2018.04.018
[7]	宋鑫澍. 白酒年份酒中几种主要成分的荧光光谱研究[D]. 无锡: 江南大学, 2018.
[8]	邹小波, 刘泽宇, 郑悦, 等. 基于离子选择性电极传感器阵列的白酒香型快速鉴别[J]. 现代食品科技,2018,34(7):251−257.
[9]	茅嘉田, 周晚晴, Pavel N N, 等. 离子色谱电导法检测白酒、红酒、啤酒和多种黄酒中的6种阳离子[J]. 食品科学,2020,41(6):310−315. doi: 10.7506/spkx1002-6630-20190414-187
[10]	施珂, 孙啸涛, 沈才洪, 等. 基于直接-气相色谱-嗅闻的整体感官评价模式分析泸香型白酒的关键香气成分[J]. 食品工业科技,2020,41(7):208−219.
[11]	白丽真, 刘洪银, 刘伟, 等. 超高效液相色谱法检测白酒中乳酸含量的方法及方法确认[J]. 酿酒科技,2020,1:75−77.
[12]	朱焯炜, 阙立志, 陈国庆, 等. 三维荧光光谱结合平行因子及神经网络对清香型白酒的年份鉴别[J]. 光谱学与光谱分析,2015,35(9):2573−2577.
[13]	辜姣, 陈国庆, 张笑河, 等. 基于小波分解和因子分析的白酒香型和年份鉴定的研究[J]. 光谱学与光谱分析,2018,38(8):2511−2515.
[14]	Natalie G, Markus B, Daniel S, et al. Resolution-optimized headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) for non-targeted olive oil profiling[J]. Anal Bioanal Chem,2017,409(16):3933−3942. doi: 10.1007/s00216-017-0338-2
[15]	Taylor C, Lough F, Stanforth S P, et al. Analysis of listeria using exogenous volatile organic compound metabolitesand their detection by static headspace-multi-capillary column-gas chromatography-ion mobility spectrometry (SHS-MCC-GC-IMS)[J]. Analytical and Bioanalytical Chemistry,2017,409(17):4247−4256. doi: 10.1007/s00216-017-0375-x
[16]	Saschal L, Luzia S, Norman A, et al. Coupling laser desorption with gas chromatography and ion mobility spectrometry for improved olive oil characterization[J]. Food Chemistry,2018,255:323−331. doi: 10.1016/j.foodchem.2018.01.193
[17]	袁琴琴. 气相色谱-离子迁移谱分析漂烫和银杏叶提取物对腊肉挥发性物质成分的影响[J]. 食品研究与开发,2020,41(11):165−172.
[18]	Wang X R, Rogers K M, Li Y, et al. Untargeted and targeted discrimination of honey collected by apis cerana and apis mellifera based on volatiles using HS-GC-IMS and HS-SPME-GC-MS[J]. Journal of Agricultural and Food Chemistry,2019,67(43):12144−12152. doi: 10.1021/acs.jafc.9b04438
[19]	Sebastian S, Natalie G, Sascha R, et al. Data fusion of GC-IMS data and FT-MIR spectra for the authentication of olive oils and honeys-is it worth to go the extra mile?[J]. Analytical and Bioanalytical Chemistry,2019,411(23):6005−6019. doi: 10.1007/s00216-019-01978-w
[20]	Natalie G, Markus B, Sebastian S, et al. Volatile-compound fingerprinting by headspace-gas-chromatography ion-mobility spectrometry (HS-GC-IMS) as a benchtop alternative to ¹H NMR profifiling for assessment of the authenticity of honey[J]. Analytical Chemistey,2018,90(3):1777−1785. doi: 10.1021/acs.analchem.7b03748
[21]	Mengqi L, Ruiwen Y, Hao Z, et al. Development of a ﬂavor ﬁngerprint by HS-GC–IMS with PCA for volatile compounds of Tricholoma matsutake Singer[J]. Food Chemistry,2019,290:32−39. doi: 10.1016/j.foodchem.2019.03.124
[22]	Yu G, Dong C, Yifei D, et al. Characteristic volatiles ﬁngerprints and changes of volatile compounds in fresh and dried Tricholoma matsutake Singer by HS-GC-IMS and HS-SPMEGC-MS[J]. Journal of Chromatography B,2018,1099:46−55. doi: 10.1016/j.jchromb.2018.09.011
[23]	祁兴普, 陈通, 刘萍, 等. 基于气相离子迁移谱黄酒产地识别的研究[J]. 食品工业科技,2019,40(22):273−281.
[24]	王涛, 罗政, 文春平, 等. 不同贮藏方式下四川白酒的性质变化[J]. 食品工业,2020,41(2):169−172.
[25]	陈玉莲. 浅析酱香白酒风味质量形成的主要影响因素[J]. 食品安全导刊,2018(36):134. doi: 10.3969/j.issn.1674-0270.2018.12.116
[26]	张杰, 程伟, 潘天全, 等. 浓香型白酒风味成分研究现状及展望[J]. 酿酒,2019,46(1):29−32. doi: 10.3969/j.issn.1002-8110.2019.01.011
[27]	陆伦维, 钟敏, 冯小冰, 等. 基于主成分分析判别不同等级酱香型白酒的研究[J]. 酿酒科技,2020(2):17−21.

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