Metabolomics of meat color: Practical implications

IF 0.5 4区生物学 Q4 BIOCHEMICAL RESEARCH METHODS

Current Proteomics Pub Date : 2021-12-30 DOI:10.2174/1570164619666211230153145

M. Denzer, F. Kiyimba, G. Mafi, R. Ramanathan

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引用次数: 0

Abstract

Meat is biochemically active, and the various pre-and post-harvest processes can affect meat quality. Metabolomics is a valuable tool to elucidate metabolite changes in meat. The overall goal of this study was to provide an overview of various techniques, data analysis, and application of metabolomics in meat color research. Both targeted and non-targeted approaches have been used to determine metabolite profiles in meat. Researchers use gas-, liquid-chromatography, and nuclear magnetic resonance platforms to separate molecules. Metabolomics is used to characterize muscle-specific differences in color stability, meat tenderness, the impact of aging on meat color, and to determine metabolite profile differences between normal-pH and dark-cutting beef. Color stable muscles have more glycolytic metabolites than color labile muscles. The use of metabolomics has greatly enhanced our understanding of metabolites' role in meat quality. There are challenges in data analysis; thus, there is a need for multiple platforms in order to obtain comprehensive metabolite libraries specific to food. Metabolomics in combination with wet-laboratory techniques can provide novel insights on the relationship between postmortem metabolism and meat color.

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肉颜色的代谢组学:实际意义

肉具有生物化学活性，收获前后的各种加工过程都会影响肉的品质。代谢组学是研究肉类代谢产物变化的重要工具。本研究的总体目标是概述代谢组学在肉色研究中的各种技术、数据分析和应用。靶向和非靶向方法已被用于确定肉类中的代谢物谱。研究人员使用气相色谱、液相色谱和核磁共振平台来分离分子。代谢组学用于表征颜色稳定性、肉嫩度、老化对肉颜色的影响等肌肉特异性差异，并确定正常ph值和深切牛肉之间代谢物谱的差异。颜色稳定的肌肉比颜色不稳定的肌肉有更多的糖酵解代谢产物。代谢组学的应用极大地提高了我们对代谢物在肉类品质中的作用的理解。在数据分析方面存在挑战;因此，需要多种平台来获得针对食物的综合代谢物文库。代谢组学与湿实验室技术的结合可以为死后代谢与肉色之间的关系提供新的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

>0 weeks

期刊介绍： Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.