Cordero Chiara, Kiefl Johannes, Schieberle Peter, Reichenbach Stephen E, Bicchi Carlo
Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Turin, Italy,
Anal Bioanal Chem. 2015 Jan;407(1):169-91. doi: 10.1007/s00216-014-8248-z. Epub 2014 Oct 30.
Modern omics disciplines dealing with food flavor focus the analytical efforts on the elucidation of sensory-active compounds, including all possible stimuli of multimodal perception (aroma, taste, texture, etc.) by means of a comprehensive, integrated treatment of sample constituents, such as physicochemical properties, concentration in the matrix, and sensory properties (odor/taste quality, perception threshold). Such analyses require detailed profiling of known bioactive components as well as advanced fingerprinting techniques to catalog sample constituents comprehensively, quantitatively, and comparably across samples. Multidimensional analytical platforms support comprehensive investigations required for flavor analysis by combining information on analytes' identities, physicochemical behaviors (volatility, polarity, partition coefficient, and solubility), concentration, and odor quality. Unlike other omics, flavor metabolomics and sensomics include the final output of the biological phenomenon (i.e., sensory perceptions) as an additional analytical dimension, which is specifically and exclusively triggered by the chemicals analyzed. However, advanced omics platforms, which are multidimensional by definition, pose challenging issues not only in terms of coupling with detection systems and sample preparation, but also in terms of data elaboration and processing. The large number of variables collected during each analytical run provides a high level of information, but requires appropriate strategies to exploit fully this potential. This review focuses on advances in comprehensive two-dimensional gas chromatography and analytical platforms combining two-dimensional gas chromatography with olfactometry, chemometrics, and quantitative assays for food sensory analysis to assess the quality of a given product. We review instrumental advances and couplings, automation in sample preparation, data elaboration, and a selection of applications.
现代食品风味组学学科将分析工作重点放在阐明感官活性化合物上,通过对样品成分进行全面、综合的处理,包括物理化学性质、基质中的浓度和感官性质(气味/味道质量、感知阈值)等,来研究所有可能的多模态感知刺激(香气、味道、质地等)。此类分析需要对已知生物活性成分进行详细的剖析,以及采用先进的指纹图谱技术,以便在样品间全面、定量且可比地编目样品成分。多维分析平台通过整合分析物的身份信息、物理化学行为(挥发性、极性、分配系数和溶解度)、浓度和气味质量等信息,支持风味分析所需的全面研究。与其他组学不同,风味代谢组学和感官组学将生物现象的最终输出(即感官感知)作为一个额外的分析维度,而这种感官感知是由所分析的化学物质专门且唯一触发的。然而,从定义上来说就是多维的先进组学平台,不仅在与检测系统和样品制备的耦合方面,而且在数据处理和加工方面都带来了具有挑战性的问题。每次分析运行中收集的大量变量提供了高水平的信息,但需要适当的策略来充分利用这一潜力。本综述重点关注全二维气相色谱以及将二维气相色谱与嗅觉测定法、化学计量学和定量分析相结合用于食品感官分析以评估给定产品质量的分析平台的进展。我们综述了仪器方面的进展与联用技术、样品制备自动化、数据处理以及一系列应用。