Proteomics-Discovered Quality Biomarkers for Chilled/Frozen Meat and Aquatic Products: Translational Barriers from Lab to Industry and Breakthrough Directions
Main Article Content
Keywords
protein biomarkers, proteomics, chilling/freezing, meat and aquatic products, translational gaps
Abstract
Over the past decade, proteomics has identified numerous differentially abundant proteins and post‑translational modifications in chilled and frozen meat and aquatic products, holding promise as molecular markers for quality monitoring. Yet, these candidates have rarely been used in commercial cold‑chain surveillance or rapid testing. This review asks a more practical question: what prevents proteomic findings from moving into industrial use? To keep the discussion focused, candidate biomarkers are grouped into three types: degradation fragments (e.g. the 30 kDa troponin‑T fragment), oxidized proteins (e.g. carbonylated creatine kinase), and abundance‑changed enzymes/chaperones (e.g. Hsp27/Hsp70). Across the literature, four barriers appear repeatedly: (1) insufficient validation of storage‑condition universality; (2) difficulty migrating quantitative methods from mass spectrometry to rapid detection formats; (3) lack of quantitative models linking biomarker changes to sensory/textural quality indices; and (4) scarcity of cross‑species and cross‑processing stability data. The main purpose of this review is to map where translation breaks down between discovery and application. Rather than treating proteomic identification as an endpoint, it examines the points where potential markers fail to become workable tools for quality monitoring. That gap matters. A candidate may perform well under controlled experimental conditions and still be difficult to apply in routine commercial testing. Based on this, the review organizes a specific set of translational problems and a research agenda that may help move freshness/freeze‑thaw history markers closer to practical cold‑chain quality control in the food industry.
References
- [1]M. Gagaoua and B. Picard, “Current Advances in Meat Nutritional, Sensory and Physical Quality Improvement,” Foods, vol. 9, no. 3, p. 321, Mar. 2020, doi: 10.3390/foods9030321.
- [2]G. Paredi, M.-A. Sentandreu, A. Mozzarelli, S. Fadda, K. Hollung, and A. M. de Almeida, “Muscle and meat: new horizons and applications for proteomics on a farm to fork perspective,” J Proteomics, vol. 88, pp. 58–82, Aug. 2013, doi: 10.1016/j.jprot.2013.01.029.
- [3]J. Chen and N. Zheng, “Accelerating protein biomarker discovery and translation from proteomics research for clinical utility,” Bioanalysis, vol. 12, no. 20, pp. 1469–1481, Oct. 2020, doi: 10.4155/bio-2020-0198.
- [4]R. Thomas, D. Sharma, R. Thomas, D. Bharadwaj, J. N. Vishwakarma, and V. K. Gupta, “Exploring potential biomarkers in foods of animal origin,” J Food Sci Technol, vol. 62, no. 10, pp. 1825–1841, Oct. 2025, doi: 10.1007/s13197-025-06412-x.
- [5]Q.-S. Ren, K. Fang, X.-T. Yang, and J.-W. Han, “Ensuring the quality of meat in cold chain logistics: A comprehensive review,” Trends in Food Science & Technology, vol. 119, pp. 133–151, Jan. 2022, doi: 10.1016/j.tifs.2021.12.006.
- [6]N. Soltanizadeh, M. Kadivar, J. Keramat, and M. Fazilati, “Comparison of fresh beef and camel meat proteolysis during cold storage,” Meat Sci, vol. 80, no. 3, pp. 892–895, Nov. 2008, doi: 10.1016/j.meatsci.2008.04.007.
- [7]Y. Kominami, T. Hayashi, T. Tokihiro, and H. Ushio, “Peptidomic analysis characterising proteolysis in thaw-aging of beef short plate,” Food Chem (Oxf), vol. 3, p. 100051, Dec. 2021, doi: 10.1016/j.fochms.2021.100051.
- [8]H. Negishi, E. Yamamoto, and T. Kuwata, “The origin of the 30 kDa component appearing during post-mortem ageing of bovine muscle,” Meat Sci, vol. 42, no. 3, pp. 289–303, Mar. 1996, doi: 10.1016/0309-1740(95)00044-5.
- [9]C. Y. Ho, M. H. Stromer, and R. M. Robson, “Identification of the 30 kDa polypeptide in post mortem skeletal muscle as a degradation product of troponin-T,” Biochimie, vol. 76, no. 5, pp. 369–375, Jan. 1994, doi: 10.1016/0300-9084(94)90110-4.
- [10]J. Stagsted, E. Bendixen, and H. J. Andersen, “Identification of specific oxidatively modified proteins in chicken muscles using a combined immunologic and proteomic approach,” J Agric Food Chem, vol. 52, no. 12, pp. 3967–3974, Jun. 2004, doi: 10.1021/jf035503d.
- [11]M. Pazos, R. Maestre, J. M. Gallardo, and I. Medina, “Proteomic evaluation of myofibrillar carbonylation in chilled fish mince and its inhibition by catechin,” Food Chem, vol. 136, no. 1, pp. 64–72, Jan. 2013, doi: 10.1016/j.foodchem.2012.07.109.
- [12]O. P. Soladoye, M. L. Juárez, J. L. Aalhus, P. Shand, and M. Estévez, “Protein Oxidation in Processed Meat: Mechanisms and Potential Implications on Human Health,” Compr Rev Food Sci Food Saf, vol. 14, no. 2, pp. 106–122, Mar. 2015, doi: 10.1111/1541-4337.12127.
- [13]D. Lomiwes, M. M. Farouk, E. Wiklund, and O. A. Young, “Small heat shock proteins and their role in meat tenderness: a review,” Meat Sci, vol. 96, no. 1, pp. 26–40, Jan. 2014, doi: 10.1016/j.meatsci.2013.06.008.
- [14]C. T. Moncau, A. F. Rosa, J. P. Eler, and J. C. C. Balieiro, “Proteínas de choque térmico na qualidade da carne,” Pesquisa Agropecuaria Brasileira, pp. 90–96, Feb. 2018, doi: 10.1590/S1678-3921.pab2018.v53.24794.
- [15]F. Zhao et al., “Proteomics and Metabolomics Profiling of Pork Exudate Reveals Meat Spoilage during Storage,” Metabolites, vol. 12, no. 7, p. 570, Jun. 2022, doi: 10.3390/metabo12070570.
- [16]T. S. Anand et al., “Development and validation of mitochondrial citrate synthase enzyme-based sandwich ELISA for reliable authentication of fresh vs frozen thawed pork meat,” Food Control, vol. 180, pp. 111672–111672, Jan. 2026, doi: 10.1016/j.foodcont.2025.111672.
- [17]R. Banerjee et al., “Lateral flow immunoassay-based absolute point-of-care technique for authentication of meat and commercial meat products,” J Food Sci Technol, vol. 60, no. 2, pp. 772–782, Feb. 2023, doi: 10.1007/s13197-022-05663-2.
- [18]O. E. Tsitsilonis et al., “A skeletal muscle troponin T specific ELISA based on the use of an antibody against the soluble troponin T (16-31) fragment,” J Immunol Methods, vol. 268, no. 2, pp. 141–148, Oct. 2002, doi: 10.1016/s0022-1759(02)00186-2.
- [19]C. K. F. Rahman et al., “ELISA-based detection of fresh and frozen-thawed lamb meat: a promising analytical approach for meat authentication,” Anal Methods, vol. 16, no. 37, pp. 6364–6372, Sep. 2024, doi: 10.1039/d4ay00874j.
