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分散液液微萃取和气相色谱精确质量 spectrometry 用于葡萄渣馏出物中挥发性和半挥发性化合物的提取和非靶向分析。

Dispersive liquid-liquid microextraction and gas chromatography accurate mass spectrometry for extraction and non-targeted profiling of volatile and semi-volatile compounds in grape marc distillates.

机构信息

Laboratorio de Bioquímica Vegetal, Instituto de Biología Agrícola de Mendoza, Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad Nacional de Cuyo, Almirante Brown 500, M5528AHB Chacras de Coria, Argentina.

Departamento de Química Analítica, Nutrición y Bromatología, Instituto de Investigación y Análisis Alimentario (IIAA), Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain.

出版信息

J Chromatogr A. 2018 Apr 20;1546:36-45. doi: 10.1016/j.chroma.2018.03.003. Epub 2018 Mar 3.

Abstract

The suitability of dispersive liquid-liquid microextraction (DLLME) and gas chromatography accurate mass spectrometry (GC-MS), based on a time-of-flight (TOF) MS analyzer and using electron ionization (EI), for the characterization of volatile and semi-volatile profiles of grape marc distillates (grappa) are evaluated. DLLME conditions are optimized with a selection of compounds, from different chemical families, present in the distillate spirit. Under final working conditions, 2.5 mL of sample and 0.5 mL of organic solvents are consumed in the sample preparation process. The absolute extraction efficiencies ranged from 30 to 100%, depending on the compound. For the same sample volume, DLLME provided higher responses than solid-phase microextraction (SPME) for most of the model compounds. The GC-EI-TOF-MS records of grappa samples were processed using a data mining non-targeted search algorithm. In this way, chromatographic peaks and accurate EI-MS spectra of sample components were linked. The identities of more than 140 of these components are proposed from comparison of their accurate spectra with those in a low resolution EI-MS database, accurate masses of most intense fragment ions of known structure, and available chromatographic retention index. The use of chromatographic and spectral data, associated to the set of components mined from different grappa samples, for multivariate analysis purposes is also illustrated in the study.

摘要

采用基于飞行时间(TOF)质谱分析仪和电子电离(EI)的分散液相微萃取(DLLME)和气相色谱精确质量质谱(GC-MS)技术,评估其对葡萄渣蒸馏酒(grappa)挥发性和半挥发性成分特征的分析适用性。通过选择存在于馏出物烈酒中的不同化学家族的化合物,对 DLLME 条件进行优化。在最终工作条件下,样品制备过程中消耗 2.5 mL 样品和 0.5 mL 有机溶剂。绝对萃取效率取决于化合物,范围为 30%至 100%。对于相同的样品体积,对于大多数模型化合物,DLLME 比固相微萃取(SPME)提供更高的响应。使用数据挖掘非靶向搜索算法处理 grappa 样品的 GC-EI-TOF-MS 记录。通过这种方式,将样品成分的色谱峰和精确 EI-MS 光谱相关联。通过将这些成分的精确光谱与低分辨率 EI-MS 数据库、已知结构的大多数强碎片离子的精确质量和可用的色谱保留指数进行比较,提出了其中 140 多种成分的身份。还说明了在研究中,使用来自不同 grappa 样品提取的一组成分的色谱和光谱数据进行多元分析的用途。

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