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综合/多维气相色谱法与质谱法和嗅闻法在葡萄酒和咖啡香气分析中的应用。

Application of integrated comprehensive/multidimensional gas chromatography with mass spectrometry and olfactometry for aroma analysis in wine and coffee.

机构信息

Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, VIC 3800, Australia.

Department of Food Science, University of Otago, PO Box 56, Dunedin 9056, New Zealand.

出版信息

Food Chem. 2015 Oct 15;185:355-61. doi: 10.1016/j.foodchem.2015.04.003. Epub 2015 Apr 9.

Abstract

Component coelution in chromatographic analysis complicates identification and attribution of individual odour-active volatile molecules in complex multi-component samples. An integrated system incorporating comprehensive two-dimensional gas chromatography (GC × GC) and multidimensional gas chromatography (MDGC), with flame ionisation, olfactometry and mass spectrometry detection was developed to circumvent data correlation across different systems. Identification of potent odorants in Shiraz wine and the headspace of ground coffee are demonstrated as selected applications. Multiple solid-phase microextraction (SPME) sampling with GC-O located odour-active regions; GC × GC established the complexity of odour-active regions; MDGC provided high-resolution separation for each region; simultaneous 'O' and MS detection completed the analysis for target resolved peaks. Seven odour regions in Shiraz were analysed with MDGC-O/MS detection, revealing 11 odour volatiles through matching of mass spectrometry and retention indices from both separating dimensions, including acetic acid; octen-3-ol; ethyl octanoate; methyl-2-oxo-nonanoate; butanoic acid, 2-methylbutanoic acid, and 3-methylbutanoic acid; 3-(methylthio)-1-propanol; hexanoic acid; β-damascenone; and ethyl-3-phenylpropanoate. A capsicum odour in ground coffee was identified as 2-methoxy-3-isobutylpyrazine with a 5-fold increase in S/N of the odorant when acquired using a 6-time cumulative SPME sampling approach.

摘要

在色谱分析中,组分共洗脱会使复杂多组分样品中个别具有气味活性的挥发性分子的鉴定和归属变得复杂。本研究开发了一种集成系统,该系统结合了全二维气相色谱(GC×GC)和多维气相色谱(MDGC),并结合了火焰离子化、嗅闻和质谱检测,以避免跨不同系统的数据相关性。以雪利酒和研磨咖啡顶空为选定应用,演示了在复杂混合物中鉴定强力气味物质的方法。采用 GC-O 定位气味活性区域的多次固相微萃取(SPME)采样;GC×GC 确定了气味活性区域的复杂性;MDGC 为每个区域提供了高分辨率的分离;同时进行“O”和 MS 检测,完成了目标解析峰的分析。采用 MDGC-O/MS 检测分析了 7 个雪利酒气味区域,通过匹配两个分离维度的质谱和保留指数,共鉴定出 11 种气味挥发物,包括乙酸;辛烯-3-醇;乙酸乙酯;甲基-2-氧代壬酸;丁酸、2-甲基丁酸和 3-甲基丁酸;3-(甲硫基)-1-丙醇;己酸;β-大马酮;和 3-苯丙酸乙酯。研磨咖啡中的辣椒气味被鉴定为 2-甲氧基-3-异丁基吡嗪,采用 6 次累积 SPME 采样方法时,气味物质的 S/N 增加了 5 倍。

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