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Erasmus SW, Sohaib M, Revilla I, Vivar-Quintana AM, Giancoli SJ. Markers for meat provenance and authenticity with an account of its defining factors and quality characteristics - a review. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024. [PMID: 38545907 DOI: 10.1002/jsfa.13492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/08/2024] [Accepted: 03/28/2024] [Indexed: 05/09/2024]
Abstract
Provenance is becoming increasingly important in meat supply chains as it lends products higher perceived quality. However, its precise definition and interpretation along with its associated characteristics factors have remained somewhat elusive. This review meticulously defines meat provenance while dissecting the essential factors and associated quality attributes that constitute its essence and are subsequently employed to establish pertinent markers for provenance. Meat provenance emerges as a multi-dimensional construct stemming from the adept management of a constellation of factors relating to geographical origin, farm production system, traceability, and authenticity. Through intricate interactions, these factors unveil innate originality that not only forges a distinct reputation but also imparts a unique typicity to the meat product. Gaining insights into a meat product's provenance becomes attainable by scrutinizing its pertinent composition and organoleptic quality traits. Trace elements and stable isotopes stand out as provenance markers, forging a direct connection to both geographical origin and dietary sources. While somewhat less direct in linkage, other markers such as plant biomarkers, fatty acid composition, pH levels, flavour and aromatic compounds along with organoleptic characteristics contribute to the overall understanding of provenance. Additionally, the identification of animal species and breeds serves as key markers, particularly in the context of protected geographical indications. The study findings are useful for the various stakeholders of how the information for meat provenance can be linked with intrinsic and extrinsic factors for meat quality and protecting the integrity of the supply chain with special reference to traceability and authenticity. © 2024 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
| | - Muhammad Sohaib
- Food Quality and Design, Wageningen University & Research, Wageningen, The Netherlands
- Department of Food Science and Human Nutrition, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Isabel Revilla
- Food Technology Area, Universidad de Salamanca, Escuela Politécnica Superior de Zamora, Zamora, Spain
| | - Ana María Vivar-Quintana
- Food Technology Area, Universidad de Salamanca, Escuela Politécnica Superior de Zamora, Zamora, Spain
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Salgado Pardo JI, González Ariza A, Navas González FJ, León Jurado JM, Díaz Ruiz E, Delgado Bermejo JV, Camacho Vallejo ME. Discriminant canonical analysis as a tool for genotype traceability testing based on turkey meat and carcass traits. Front Vet Sci 2024; 11:1326519. [PMID: 38425837 PMCID: PMC10902079 DOI: 10.3389/fvets.2024.1326519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
The present study aims to develop a statistical tool for turkey breed traceability testing based on meat and carcass quality characteristics. To this end, a comprehensive meta-analysis was performed, collecting data from a total of 75 studies approaching meat and carcass attributes of 37 turkey strains and landraces since the late 1960s. A total of 22 meat and carcass traits were considered variables, grouped in the following clusters: carcass dressing traits, muscle fiber properties, pH, colorimetry, water-capacity traits, texture-related attributes, and nutritional composition of the meat. Once the multicollinearity analysis allowed the deletion of redundant variables, cold carcass weight, slaughter weight, muscle fiber diameter, sex-female, carcass/piece weight, meat redness, ashes, pH24, meat lightness, moisture, fat, and water-holding capacity showed explanatory properties in the discriminating analysis (p < 0.05). In addition, strong positive and negative correlations were found among those variables studied. Carcass traits were positively associated, particularly slaughter weight and cold carcass weight (+0.561). Among meat physical traits, pH showed positive correlations with drip loss (+0.490) and pH24 (+0.327), and water-holding capacity was positively associated with cholesterol (+0.434) and negatively associated with collagen (-0.398). According to nutritional traits, fat and ash showed a strong correlation (+0.595), and both were negatively associated with moisture (-0.375 and -0.498, respectively). Strong negative correlations were found as well between meat protein and fat (-0.460) and between collagen and cholesterol (-0.654). Finally, the Mahalanobis distance suggested a clustering pattern based on meat and carcass characteristics that report information about interbreeding and variety proximity. This study establishes a departure point in the development of a tool for breed traceability guaranteeing aimed at enhancing distinguished, local breed-based turkey meat.
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Affiliation(s)
| | - Antonio González Ariza
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, Córdoba, Spain
- Agropecuary Provincial Centre, Diputación Provincial de Córdoba, Córdoba, Spain
| | | | | | - Esther Díaz Ruiz
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, Córdoba, Spain
| | | | - María Esperanza Camacho Vallejo
- Department of Agriculture and Ecological Husbandry, Area of Agriculture and Environment, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Alameda del Obispo, Córdoba, Spain
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Banerjee R, Maheswarappa NB, Mohan K, Biswas S, Batabyal S. Proteomic Technologies and their Application for Ensuring Meat Quality,
Safety and Authenticity. CURR PROTEOMICS 2022. [DOI: 10.2174/1570164618666210114113306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
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Proteomic tools were extensively used to understand the relationship between muscle
proteome and conversion of muscle to meat, post-mortem proteolysis, meat texture, and variation
in meat color. Developments in proteomic tools have also resulted in their application for addressing
the safety and authenticity issues including meat species identification, detection of animal byproducts,
non-meat ingredients and tissues in meat products, traceability, identification of genetically
modified ingredients, chemical residues and other harmful substances. Proteomic tools are also
being used in some of the potential areas like understanding the effect of animal transportation,
stunning, slaughter stress, halal authentication and issues related to animal welfare. Emerging advances
in proteomic and peptidomic technologies and their application in traceability, meat microbiology,
safety and authentication are taking a major stride as an interesting and complementary alternative
to DNA-based methods currently in use. Future research in meat science need to be
linked to emerging metabolomic, lipidomic and other omic technologies for ensuring integrated
meat quality and safety management. In this paper, a comprehensive overview of the use of proteomics
for the assessment of quality and safety in the meat value chain and their potential application
is discussed.
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Affiliation(s)
- Rituparna Banerjee
- ICAR-National Research Centre on Meat, Chengicherla, Hyderabad, 500092, India
| | | | - Kiran Mohan
- Department of Livestock Products
Technology, Veterinary College, KVAFSU, Bidar, Karnataka 585401, India
| | - Subhasish Biswas
- Department of Livestock Products
Technology, West Bengal University of Animal and Fishery Sciences, Kolkata700037, India
| | - Subhasish Batabyal
- Department of Veterinary
Biochemistry, West Bengal University of Animal and Fishery Sciences, Kolkata700037, India
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Monahan FJ, Schmidt O, Moloney AP. Meat provenance: Authentication of geographical origin and dietary background of meat. Meat Sci 2018; 144:2-14. [PMID: 29859716 DOI: 10.1016/j.meatsci.2018.05.008] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 05/10/2018] [Indexed: 02/07/2023]
Abstract
The authenticity of meat is now an important consideration in the multi-step food chain from production of animals on farm to consumer consumption of the final meat product. A range of techniques, involving analysis of elemental and molecular constituents of meat, fingerprint profiling and multivariate statistical analysis exists and these techniques are evolving in the quest to provide robust methods of establishing the dietary background of animals and the geographical origin of the meat derived from them. The potential application to meat authentication of techniques such as stable isotope ratio analysis applied to different animal tissues, measurement in meat of compounds directly derived from the diet of animals, such as fatty acids and fat soluble vitamins, and spectroscopy is explored. Challenges pertaining to the interpretation of data, as they relate to assignment of dietary background or geographical origin, are discussed.
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Affiliation(s)
- Frank J Monahan
- University College Dublin, School of Agriculture and Food Science, Dublin 4, Ireland.
| | - Olaf Schmidt
- University College Dublin, School of Agriculture and Food Science, Dublin 4, Ireland.
| | - Aidan P Moloney
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Co. Meath, Ireland.
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Fontanesi L, Scotti E, Gallo M, Nanni Costa L, Dall'Olio S. Authentication of “mono-breed” pork products: Identification of a coat colour gene marker in Cinta Senese pigs useful to this purpose. Livest Sci 2016. [DOI: 10.1016/j.livsci.2015.12.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Paredi G, Sentandreu MA, Mozzarelli A, Fadda S, Hollung K, de Almeida AM. Muscle and meat: New horizons and applications for proteomics on a farm to fork perspective. J Proteomics 2013; 88:58-82. [DOI: 10.1016/j.jprot.2013.01.029] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2012] [Accepted: 01/31/2013] [Indexed: 11/16/2022]
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Montowska M, Pospiech E. Species-specific expression of various proteins in meat tissue: Proteomic analysis of raw and cooked meat and meat products made from beef, pork and selected poultry species. Food Chem 2013. [DOI: 10.1016/j.foodchem.2012.09.072] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Myosin light chain isoforms retain their species-specific electrophoretic mobility after processing, which enables differentiation between six species: 2DE analysis of minced meat and meat products made from beef, pork and poultry. Proteomics 2012; 12:2879-89. [DOI: 10.1002/pmic.201200043] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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