Mass spectrometry-based untargeted metabolomics approach for differentiation of beef of different geographic origins

Man, K; Chan, Chi-On; Tang, Hok Him; Dong, Nai ping; Capozzi, Francesco; Wong, Ka Hing; Kwok, Kevin W.H.; Chan, Hing Man; Mok, Daniel Kam Wah

doi:10.1016/j.foodchem.2020.127847

Cited by 40 publications

(17 citation statements)

References 65 publications

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“…In this study, the major metabolites responsible for differentiation in orthogonal projection to latent structure-discriminant analysis (OPLS-DA) loading plots were succinate and various amino acids including isoleucine, leucine, methionine, tyrosine and valine. The use of a mass spectrometry-based untargeted metabolomics for differentiation of beef samples from different geographical origins, namely the United States, Japan and Australia, and feeding regimes was also found to be a relevant approach (Man et al, 2021). Another study by Osorio et al (2012) investigated the use of an NMR-based metabolomics to authenticate beef on the basis of the preslaughter production system.…”

Section: Emerging Use Of Metabolomics In Meat Quality Analysis and Au...mentioning

confidence: 99%

Current research and emerging tools to improve fresh red meat quality

Gagaoua

Duffy

Álvarez

et al. 2022

Irish Journal of Agricultural and Food Research

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A consumer’s decision to purchase red meat is guided by a combination of many interacting factors including safety, nutrition, sustainability and perception of healthiness along with a variety of sensory characteristics such as colour, marbling, tenderness, juiciness and flavour. Red meat quality is complex and influenced by many intrinsic and extrinsic factors, spanning the chain from breed/genetics through to the final end product with key influences coming from on-farm management and post-mortem processing. As a result of various factors, including consumer demands, the importance of both red meat quality and safety has in recent times come to the fore for the meat industry, with steps to meet these requirements having a large bearing on profitability. Therefore, a critical review of steps which can help control these traits is very important. Accordingly, several processing strategies were proposed at the research and industry level aiming to improve fresh red meat quality traits. This review summarises the current methods applied to improve fresh red meat quality and safety, including the advances in management and prediction tools for carcass and technological and sensory quality traits. These methods are also relevant to the safety and microbiological status of carcasses and meat produced, along with the recent developments in sensory analysis, which aim to understand the sensory properties of red meat and consumers responses. The potential of foodomics approaches is discussed under the topics of genomics, proteomics and metabolomics, which help our understanding of the underlying biological mechanisms behind the variation of sensory and technological quality traits and their use for the discovery of putative biomarkers. We further considered the current and emerging sequencing-based methods used to understand microbial community composition of fresh red meat.

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Section: Emerging Use Of Metabolomics In Meat Quality Analysis and Au...mentioning

confidence: 99%

Current research and emerging tools to improve fresh red meat quality

Gagaoua

Duffy

Álvarez

et al. 2022

Irish Journal of Agricultural and Food Research

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“…Primary metabolites responsible for discrimination of the geographical origin of raw beef were identified, including succinate and various amino acids. In another study carried out by MS-based metabolomics, Man et al characterised the metabolite profiles of beef samples from different geographical origins [139]. Twenty-four metabolites were identified as metabolic biomarkers for beef from different countries, including amino acids, several sugar metabolites, and many PCs and PEs.…”

Section: Geographical Originmentioning

confidence: 99%

Current State of Metabolomics Research in Meat Quality Analysis and Authentication

Tao

Chen

Xie

et al. 2021

Foods

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In the past decades, as an emerging omic, metabolomics has been widely used in meat science research, showing promise in meat quality analysis and meat authentication. This review first provides a brief overview of the concept, analytical techniques, and analysis workflow of metabolomics. Additionally, the metabolomics research in quality analysis and authentication of meat is comprehensively described. Finally, the limitations, challenges, and future trends of metabolomics application in meat quality analysis and meat authentication are critically discussed. We hope to provide valuable insights for further research in meat quality.

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“…Metabolomics focuses on the measurement of metabolites and identifies changes in metabolites as a result of genetic, environmental or dietary factors [ 10 , 11 ]. The presence of comprehensive metabolite profiles not only helps us identify the geographical region of C. speciosa but also assists in learning how these factors influence the nutritional values, quality and flavor of their fruits [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Metabolomics Study of Chaenomeles speciosa (Sweet) Nakai from Different Geographical Regions

et al. 2022

Foods

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Chaenomeles speciosa (Sweet) Nakai (C. speciosa) is not only a Chinese herbal medicine but also a functional food widely planted in China. Its fruits are used to treat many diseases or can be processed into food products. This study aims to find key metabolic components, distinguish the differences between geographical regions and find more medicinal and edible values of C. speciosa fruits. We used ultra-high-performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) and widely targeted metabolomics analysis to reveal key and differential metabolites. We identified 974 metabolites and screened 548 differential metabolites from 8 regions. We selected significantly high-content differential metabolites to visualize a regional biomarker map. Comparative analysis showed Yunnan had the highest content of total flavonoids, the highest amounts of compounds related to disease resistance and drug targets and the most significant difference from the other regions according to the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database, a unique platform for studying the systematic pharmacology of Chinese herbal medicine and capturing the relationship between drugs, targets and diseases. We used oral bioavailability (OB) ≥ 30% and drug likeness (DL) ≥ 0.18 as the selection criteria and found 101 key active metabolites, which suggests that C. speciosa fruits were rich in healthy metabolites. These results provide valuable information for the development of C. speciosa.

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Mass spectrometry-based untargeted metabolomics approach for differentiation of beef of different geographic origins

Cited by 40 publications

References 65 publications

Current research and emerging tools to improve fresh red meat quality

Current research and emerging tools to improve fresh red meat quality

Current State of Metabolomics Research in Meat Quality Analysis and Authentication

Comparative Metabolomics Study of Chaenomeles speciosa (Sweet) Nakai from Different Geographical Regions

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