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Advanced Understanding of Meat Matrix-Flavor Relationships

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Meat".

Deadline for manuscript submissions: closed (31 January 2026) | Viewed by 1019

Special Issue Editors

China Meat Research Center, Beijing, China
Interests: meat science

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Guest Editor
School of Food and Health, Beijing Technology and Business University, Beijing, China
Interests: food processing and flavor perception

Special Issue Information

Dear Colleagues,

The flavor quality of meat products is a decisive factor in consumer acceptance, which is closely associated with the dynamic changes in meat matrix components (proteins, lipids, carbohydrates, etc.) during processing and storage. In recent years, with the rapid development of modern food processing technologies and continuous innovation in analytical techniques, research on meat flavor has evolved from the identification of individual volatile compounds to systematic exploration of matrix component dynamics, flavor formation mechanisms, and regulation strategies. Studies on Maillard reactions, lipid and protein oxidation, and meat matrix–flavor interaction mechanisms have laid a theoretical foundation for precise flavor regulation. Furthermore, emerging technologies such as multi-omics, AI-assisted analysis, and computational modeling have significantly advanced the depth and efficiency of meat flavor research. Innovations in processing techniques offer novel approaches to addressing flavor defects in traditional meat products and developing new healthy meat alternatives. Considering these advances, this Special Issue focuses on the meat matrix–flavor relationship and its regulatory mechanisms, aiming to compile the latest findings in fundamental research and technological innovation. We seek to provide theoretical insights and technical support for improving meat flavor quality.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  1. Changes in meat matrix components under different processing or storage conditions and their impact on flavor formation;
  2. Interaction mechanisms between meat matrix and flavor compounds, and strategies for flavor release regulation;
  3. Application of novel technologies and tools in screening and predicting meat matrix and flavor markers;
  4. Influence of processing innovations on meat product flavor and optimization of process parameters.

We look forward to receiving your contributions.

Dr. Bing Zhao
Dr. Dandan Pu
Guest Editors

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Keywords

  • meat matrix
  • flavor regulation
  • meat matrix–flavor interaction
  • novel technology
  • sensory quality

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Published Papers (2 papers)

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Research

20 pages, 3957 KB  
Article
Integrated Lipidomics and Metabolomics Reveal Stage-Dependent Differences in Flavor Precursor Composition Between Higher- and Lower-Body-Weight Beijing-You Chickens
by Xia Chen, Jian Zhang, Xiaoyue Zhang, Cheng Chang, Hongchang Gu, Zhixun Yan, Lingchao Zeng, Ailian Geng, Jing Cao, Qin Chu and Huagui Liu
Foods 2026, 15(9), 1564; https://doi.org/10.3390/foods15091564 - 1 May 2026
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Abstract
Body weight variation within a breed may be associated with meat flavor in chickens, but its relationship with flavor-related precursor composition across developmental stages remains unclear. Here, integrated lipidomics and metabolomics were applied to compare breast muscle from Beijing-You chickens sampled from the [...] Read more.
Body weight variation within a breed may be associated with meat flavor in chickens, but its relationship with flavor-related precursor composition across developmental stages remains unclear. Here, integrated lipidomics and metabolomics were applied to compare breast muscle from Beijing-You chickens sampled from the same cohort at 90, 110, 130, and 150 d in a stage-wise design. At each stage, higher-body-weight (HBW) and lower-body-weight (LBW) groups were independently defined from the upper and lower tails of the body weight distribution at that age. A total of 440, 259, 161, and 324 differential lipids, as well as 491, 257, 291, and 402 differential metabolites, were identified at the four stages, respectively. However, only 23 lipids and 3 metabolites were shared across all stages, indicating that metabolic differences between the HBW and LBW groups varied markedly across developmental stages. Differential lipids were mainly distributed among phosphatidylcholine, phosphatidylethanolamine, and phosphatidylserine, while glycerophospholipid metabolism was consistently identified in both lipidomic and metabolomic analyses. Notably, a key transition was observed between 110 and 130 d, during which the predominant direction of PUFA-like differential lipids shifted from HBW to LBW predominance. Representative differential metabolites included N-acetyl-L-methionine, N-methyl-L-glutamic acid, and γ-glutamyl-5-hydroxytryptophan, suggesting alterations in amino acid- and peptide-related metabolism. Overall, these findings provide insight into stage-dependent variation in flavor-related precursor composition within a breed across developmental stages. However, their direct contribution to flavor remains to be validated. Full article
(This article belongs to the Special Issue Advanced Understanding of Meat Matrix-Flavor Relationships)
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19 pages, 3869 KB  
Article
Integrative Analysis of Volatile Flavor Compounds and Transcriptome Reveals Underlying Mechanisms Linked to Fatty Acid Content in Dabieshan Cattle
by Liu Zhang, Qian Li, Hai Jin, Shuanping Zhao, Huibin Zhang, Xinyi Du, Qinggang Li and Lei Xu
Foods 2026, 15(8), 1423; https://doi.org/10.3390/foods15081423 - 19 Apr 2026
Viewed by 430
Abstract
To investigate the associations between genes involved in fatty acid composition and volatile flavor compounds (VOCs), Dabieshan (DBS) cattle were selected and stratified into high (H: 0.018–0.024 g) and low (L: 0.007–0.012 g) groups according to the fatty acid content in the longissimus [...] Read more.
To investigate the associations between genes involved in fatty acid composition and volatile flavor compounds (VOCs), Dabieshan (DBS) cattle were selected and stratified into high (H: 0.018–0.024 g) and low (L: 0.007–0.012 g) groups according to the fatty acid content in the longissimus dorsi (LD). Integrated analysis using two-dimensional gas chromatography–time-of-flight mass spectrometry (GC×GC-TOF-MS) and transcriptomics systematically revealed differences in VOCs and gene expression profiles, along with their associations with fatty acid composition. The relative contents of aldehydes, esters, and hydrocarbons were significantly higher in the group H, whereas the group L exhibited elevated levels of alcohols, acids, and heterocyclic compounds. Among 54 differentially abundant VOCs identified, (E)-2-Nonenal (ROAV = 100) was established as the key flavor contributor. Transcriptomic analysis identified 678 differentially expressed genes (DEGs), with eight candidate genes implicated in fatty acid composition pinpointed through GO and KEGG enrichment analyses. Further correlation analysis showed that the expression levels of SGPL1, KLF15 and SLC27A6 were significantly correlated with the contents of polyunsaturated fatty acids (C22:5n-3, C18:3n-3, C18:2n-6, C18:1n-9c). There was also a significant correlation between the above fatty acids and characteristic flavor compounds including 3-Hexanone, (E)-2-Nonenal, (E,E)-2,4-Octadienal and Butanal. This study suggested potential links among fatty acid composition, key genes and characteristic flavor compounds in Dabieshan cattle, providing new insights into the genetic improvement of flavor quality of local cattle breeds. Full article
(This article belongs to the Special Issue Advanced Understanding of Meat Matrix-Flavor Relationships)
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