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固相微萃取结合全二维气相色谱法在食品分析中的应用。

Solid-phase microextraction coupled to comprehensive multidimensional gas chromatography for food analysis.

机构信息

Laboratorio de Investigación y Desarrollo de Métodos Analíticos, LIDMA, Facultad de Ciencias Exactas (Universidad Nacional de La Plata, CIC-PBA, CONICET), Calle 47 Esq. 115, 1900, La Plata, Argentina.

Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium.

出版信息

Anal Bioanal Chem. 2024 Apr;416(9):2221-2246. doi: 10.1007/s00216-023-05048-0. Epub 2023 Nov 24.

DOI:10.1007/s00216-023-05048-0
PMID:37999723
Abstract

Solid-phase microextraction and comprehensive multidimensional gas chromatography represent two milestone innovations that occurred in the field of separation science in the 1990s. They have a common root in their introduction and have found a perfect coupling in their evolution and applications. This review will focus on food analysis, where the paradigm has changed significantly over time, moving from a targeted analysis, focusing on a limited number of analytes at the time, to a more holistic approach for assessing quality in a larger sense. Indeed, not only some major markers or contaminants are considered, but a large variety of compounds and their possible interaction, giving rise to the field of foodomics. In order to obtain such detailed information and to answer more sophisticated questions related to food quality and authenticity, the use of SPME-GC × GC-MS has become essential for the comprehensive analysis of volatile and semi-volatile analytes. This article provides a critical review of the various applications of SPME-GC × GC in food analysis, emphasizing the crucial role this coupling plays in this field. Additionally, this review dwells on the importance of appropriate data treatment to fully harness the results obtained to draw accurate and meaningful conclusions.

摘要

固相微萃取和全二维气相色谱代表了 20 世纪 90 年代分离科学领域的两项里程碑式创新。它们在引入时有着共同的根源,并在发展和应用中找到了完美的结合。

本篇综述聚焦于食品分析,随着时间的推移,该领域的研究范式发生了重大变化,从当时针对少数分析物的靶向分析,转变为更全面的方法来评估更大意义上的质量。事实上,不仅考虑了一些主要的标志物或污染物,还考虑了大量的化合物及其可能的相互作用,从而产生了食品组学领域。为了获得这些详细信息,并回答与食品质量和真实性相关的更复杂的问题,SPME-GC×GC-MS 的使用对于挥发性和半挥发性分析物的综合分析变得至关重要。

本文批判性地回顾了 SPME-GC×GC 在食品分析中的各种应用,强调了这种结合在该领域中的关键作用。此外,本文还探讨了适当的数据处理的重要性,以充分利用所获得的结果,得出准确和有意义的结论。

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本文引用的文献

1
Artificial Intelligence decision-making tools based on comprehensive two-dimensional gas chromatography data: the challenge of quantitative volatilomics in food quality assessment.基于全面二维气相色谱数据的人工智能决策工具:食品质量评估中定量挥发组学的挑战。
J Chromatogr A. 2023 Jul 5;1700:464041. doi: 10.1016/j.chroma.2023.464041. Epub 2023 Apr 29.
2
Augmented visualization by computer vision and chromatographic fingerprinting on comprehensive two-dimensional gas chromatographic patterns: Unraveling diagnostic signatures in food volatilome.计算机视觉增强可视化与全二维气相色谱图的色谱指纹图谱:揭示食品挥发物组中的诊断特征。
J Chromatogr A. 2023 Jun 21;1699:464010. doi: 10.1016/j.chroma.2023.464010. Epub 2023 Apr 23.
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Comprehensive two-dimensional gas chromatography with flow modulator coupled via tube plasma ionization to an atmospheric pressure high-resolution mass spectrometer for the analysis of vermouth volatile profile.采用载气流调制的全二维气相色谱法,通过管等离子体电离与大气压高分辨质谱联用,分析味美思的挥发性成分。
Anal Bioanal Chem. 2023 May;415(13):2561-2573. doi: 10.1007/s00216-023-04688-6. Epub 2023 Apr 15.
4
Multidimensional Gas Chromatography of Organosulfur Compounds in Coffee and Structure-Odor Analysis of 2-Methyltetrahydrothiophen-3-one.咖啡中有机硫化合物的多维气相色谱分析及2-甲基四氢噻吩-3-酮的结构-气味分析
J Agric Food Chem. 2023 Mar 15;71(10):4337-4345. doi: 10.1021/acs.jafc.2c08842. Epub 2023 Mar 2.
5
HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste.顶空固相微萃取-全二维气相色谱/质谱联用结合多元统计分析研究罐制蚕豆酱风味形成机制
Food Chem X. 2022 Dec 27;17:100556. doi: 10.1016/j.fochx.2022.100556. eCollection 2023 Mar 30.
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Anal Bioanal Chem. 2023 May;415(13):2511-2521. doi: 10.1007/s00216-022-04457-x. Epub 2022 Dec 8.
7
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