Tissue and species identification in minced meat and meat products from Italian commercial markets by DNA microarray and histological approach
DOI:
https://doi.org/10.12834/VetIt.1669.8871.3Keywords:
Bovine, DNA microarray, Histology, Meat products, Minced meatAbstract
Adequate testing and adulterant detection of food products are required to assure its safety and avoid fraudulent activities. Adulteration/substitution of costlier meat with a cheaper or inferior meat is one of the most common fraudulence in meat industry. Aim of this study was to check the correct labelling of meat and ready to cook bovine meat products, combining the DNA microarray approach to identify the animal species with the histological examination, to check the composition and safety of meat. One hundred and one samples of bovine minced meat (Group 1) and ready to cook meat products (Group 2) were collected from supermarkets in Turin, Italy. DNA microarray revealed that 25.7% of samples were positive for species not declared on the label, swine being the most common. Histology showed the presence of cartilage, bone and glandular tissue. A higher presence of bacteria and inflammatory cells was detected in Group 1. Bacterial cells associated to inflammatory cells were detected with a higher score in Group 2. Sarcocystis spp. were present in 83.3% samples of Group 1 and 49.1% of Group 2. This study confirmed that the mislabelling of meat products is not uncommon. The combination of DNA microarrays and histology can increase the monitoring capacity in bovine meat industry.
References
Ballin N.Z. 2010. Authentication of meat and meat products. Meat Sci, 86, 577‑587.
Beltramo C., Riina M.V., Colussi S., Campia V., Maniaci M.G., Biolatti C., Trisorio S., Modesto P., Peletto S. & Acutis P.L. 2017. Validation of DNA biochip technology for species identification in food forensic science. Food Control, 78, 366‑373.
Botka‑Petrak K., Hraste A., Luci H., Gottstein Ž., Martina Đ., Jakši S. & Petrak T. 2011. Histological and chemical characteristics of mechanically deboned meat of broiler chickens. Vet Arh, 81, 273‑283.
Calvo J.H., Rodellar C., Zaragoza P. & Osta R. 2002. Beef‑ and bovine‑derived material identification in processed and unprocessed food and feed by PCR amplification. J Agric Food Chem, 50, 5262‑5264.
Chiesa F., Muratore E., Dalmasso A. & Civera T. 2013. A new molecular approach to assess the occurrence of Sarcocystis spp. in cattle and products thereof: preliminary data. Ital J Food Saf 2, e41, 148‑151.
Danezis G.P., Tsagkaris A.S., Camin F., Brusic V. & Georgiou C.A. 2016. Food authentication: techniques, trends & emerging approaches. Trends Analyt Chem, 85, 123‑132.
De la Cruz S., López‑Calleja I., Martín R., González I., Alcocer M. & García T. 2017. Recent advances in the detection of allergens in foods. Methods Mol Biol, 1592, 263‑295.
Domenis L., Peletto S., Sacchi L., Clementi E., Genchi M., Felisari L., Felisari C., Mo P., Modesto P., Zuccon F., Campanella C., Maurella C., Guidetti C. & Acutis P.L. 2011. Detection of a morphogenetically novel Sarcocystis hominis‑like in the context of a prevalence study in semi‑intensively bred cattle in Italy. Parasitol Res, 109, 1677‑1687.
Flores‑Munguia M.E., Bermudez‑Almada M.C. & Vázquez‑Moreno L. 2000. Research note: detection of adulteration in processed traditional meat products. J Muscle Foods, 11 (4), 319‑325.
Font‑i‑Furnols M. & Guerrero L. 2014. Consumer preference, behaviour and perception about meat and meat products: an overview. Meat Sci, 98, 361‑371.
Ghisleni G., Stella S., Radaelli E., Mattiello S. & Scanziani E. 2010. Qualitative evaluation of tortellini meat filling by histology and image analysis. Int J Food Sci Technol, 45, 265‑270.
Gibson‑Corley K.N., Olivier A.K. & Meyerholz D.K. 2013. Principles for valid histopathologic scoring in research. Vet Pathol, 50 (6), 1007‑1015.
Hafeez A., Zaki R.S. & El‑magiud A. 2016. Applying light, histochemical and scanning histological methods for the detection of unauthorized animal and herbal content in street meat sandwich: what is in the sandwich we eat? J Food Process Technol, 7 (12), 1‑11.
Herde K., Bergmann M., Lang C., Leiser R. & Wenisch S. 2005. Glial fibrillary acidic protein and myelin basic protein as markers for the immunochemical detection of bovine central nervous tissue in heat‑treated meat products. J Food Prot, 68 (4), 823‑827.
Lijima K., Suzuki K., Ozaki K., Kuriyama H., Kitagawa Y. & Yamashita H. 2006. DNA analysis for identification of food‑associated foreign substances. J Food Qual, 29 (5), 531‑542.
Lulini B., Maurella C., Pintore M.D., Vallino Costassa E., Corbellini D., Porcario C., Pautasso A., Salata C., Gelmetti D., Avanzato T., Palù G., D'Angelo A., Caramelli M. & Casalone C. 2012. Ten years of BSE surveillance in Italy: neuropathological findings in clinically suspected cases. Res Vet Sci, 93, 872‑878.
Iwobi AN., Huber I., Hauner G., Miller A. & Busch U. 2011. Biochip technology for the detection of animal species in meat products. Food Anal Methods, 4 (3), 389‑398.
Kane D.E. & Hellberg R.S. 2015. Identification of species in ground meat products sold on the U.S. commercial market using DNA‑based methods. Food Control, 59, 158‑163.
Latorre R., Sadeghinezhad J., Hajimohammadi B., Izadi F. & Sheibani M.T. 2015. Application of morphological method for detection of unauthorized tissues in processed meat products. J Food Qual Hazards Control, 2, 71‑74. ù
Lockley A.K. & Bardsley R.G. 2000. DNA‑based methods for food authentication. Trends Food Sci Technol, 11, 67‑77. Malakauskiene S., Alioniene I., Dziugiene D., Babrauskiene V., Riedel C., Atler T. & Malakouskas M. 2016. Histological analysis for quality evaluation of cured meat sausages. Vet Med Zoot, 74 (96), 23‑26.
Martín I., García T., Fajardo V., Rojas M., Pegels N., Hernández P.E. & Martín I.G. 2009. SYBR‑Green real‑time PCR approach for the detection and quantification of pig DNA in feedstuffs. Meat Sci, 82, 252‑259.
Meistro S., Peletto S., Pezzolato M., Varello K., Botta M., Richelmi G., Biglia C., Baioni E., Modesto P., Acutis P.L. & Bozzetta E. 2015. Sarcocystis spp. prevalence in bovine minced meat: a histological and molecular study. Ital J Food Safety, 4 (2), 85‑87.
Mousavi S.M., Jahed Khaniki G., Eskandari S., Rabiei M., Mirab Samiee S. & Mehdizadeh M. 2015. Applicability of species‑specific polymerase chain reaction for fraud identification in raw ground meat commercially sold in Iran. J Food Compost Anal, 40, 47‑51.
Özpinar H., Tezmen G., Gökçe I. & Tekiner I.H. 2013. Detection of animal species in some meat and meat products by comparatively using DNA microarray and real time PCR methods. Kafkas Univ Vet Fak Derg, 19, 245‑252.
Parchami Nejad F., Tafvizi F., Tajabadi Ebrahimi M. & Hosseni S.E. 2014. Optimization of multiplex PCR for the identification of animal species using mitochondrial genes in sausages. Eur Food Res Technol, 239 (3), 533‑541.
Pascoal A., Prado M., Castro J., Cepeda A. & Barros‑Velázquez J. 2004. Survey of authenticity of meat species in food products subjected to different technological processes, by means of PCR‑RFLP analysis. Eur Food Res Technol, 218, 306‑312.
Prayson B., McMahon J.T. & Prayson R.A. 2008. Fast food hamburgers: what are we really eating? Ann Diagn Pathol, 12 (6), 406‑409. Roberts T.A., Cordier J.L., Gram L., Tompkin R.B., Pitt J.I. & Gorris L.G.M. 2005. Meat and meat products, In Micro‑organisms in foods. 6. ed., Springer, Boston, MA, 36‑39.
Sadeghinezhad J., Hajimohammadi B., Izadi F., Yarmahmoudi F. & Latorre R. 2015. Evaluation of the morphologic method for the detection of animal and herbal content in minced meat. Czech J. Food Sci, (6), 564‑569.
Sentandreu M.Á. & Sentandreu E. 2014. Authentic of meat products: tools against fraud. Food Res Int, 60, 19‑29.
Tafvizi F. & Hashemzadegan M. 2016. Specific identification of chicken and soybean fraud in premium burgers using multiplex‑PCR method. J Food Sci Technol, 53, 816‑823.
Vlachos A., Arvanitoyannis I.S & Tserkezou P. 2016. An updated review of meat authenticity methods and applications. Crit Rev Food Sci Nutr, 56, 1061‑1096.
Yosef T.A., Al‑Julaifi M.Z. & AL‑Rizqi A.R. 2014. Food forensics: using DNA‑based technology for the detection of animal species in meat products. Nat Sci, 12, 82‑90.