Advances in the Standards & Applied Sciences

Advances in the Standards & Applied Sciences

Development and Validation of a PCR Based Method for Species Identification of Cow and Buffalo Milk

Document Type : Original Article

Authors
1 Food Toxicology Research Group, Food Technology and Agricultural Products Research Center, Standard Research Institute (SRI), P.O. Box 31745-139, Karaj, Iran
2 Food, Halal and Agricultural Products Research Group, Research Center of Food Technology and Agricultural Products, Standard Research Institute, Karaj, Iran
10.22034/asas.2026.581880.1104
Abstract
Background and Objective: Food fraud through the substitution of high value milk with lower cost cow milk represents a significant challenge in the dairy supply chain. Reliable analytical methods capable of accurately determining the species origin of milk are therefore essential for ensuring product authenticity and consumer protection. The aim of this study was to develop and validate a PCR based method for the species identification of cow and buffalo milk.
Materials and Methods: Raw milk samples from cow and buffalo were collected from private farms. Genomic DNA was successfully extracted using the CTAB method in combination with a commercial extraction kit. Species specific primers were designed using bioinformatic analyses, and PCR amplification conditions were optimized to ensure efficient amplification of the target fragments. The developed method was validated by evaluating key performance parameters including specificity, sensitivity, limit of detection, repeatability, and robustness under varying experimental conditions.
Results: The results demonstrated that the designed primers exhibited high species specificity for cow and buffalo DNA. Cross reactivity tests confirmed the absence of amplification with non target DNA, indicating strong discriminatory power of the assay. The method also showed satisfactory sensitivity, repeatability, and robustness across different reaction conditions.
Conclusion: Overall, the validated PCR based method provides a rapid, sensitive, and reliable approach for the identification of cow and buffalo milk species origin. This method can serve as a practical tool for authenticity verification and quality control within the dairy industry.
Keywords
Subjects

[1] Spink J, Ortega DL, Chen C. Economically motivated adulteration and food fraud. Curr Opin Food Sci. 2017;18:19 24.
[2] Manning L, Soon JM. Food fraud vulnerability assessment. Food Control. 2016;67:54 60.
[3] Naveena BM, et al. Buffalo milk: composition, properties and processing applications. Dairy Sci Technol. 2015;95:729 748.
[4] Ménard O, et al. Buffalo milk and dairy products: technological and nutritional aspects. J Dairy Sci. 2021;104:1 15.
[5] Danezis GP, Tsagkaris AS, Camin F, Brusic V, Georgiou CA. Food authentication: techniques and emerging approaches. TrAC Trends Anal Chem. 2016;85:123 132.
[6] Kamruzzaman M, Makino Y, Oshita S. Rapid detection of milk adulteration using spectroscopy. Food Chem. 2015;174:165 171.
[7] Agrimonti C, Marmiroli M, Marmiroli N. PCR based methods for food authentication. Food Chem. 2015;184:57 69.
[8] Bottero MT, Dalmasso A. Animal species identification in food products. Food Chem. 2017;213:1 10.
[9] Giusti A, Guardone L, Castigliego L, Armani A. DNA based methods for species authentication in dairy products. Food Control. 2018;91:205 212.
[10] López Calleja I, González I, Martín R, García T. PCR detection of species adulteration in milk. J Dairy Sci. 2013;96:2783 2790.
[11] Cammà C, et al. Real time PCR for detection of buffalo milk in dairy products. Food Control. 2012;23:137 141.
[12] Köppel R, Zimmerli F, Breitenmoser A. Multiplex real time PCR for species detection in milk. J Dairy Sci. 2013;96:5339 5346.
[13] Ren J, Deng T, Huang W, Chen Y, Ge Y. Digital PCR method for identifying animal species in milk. Food Chem. 2020;308:125642.
[14] Bottero MT, Civera T. Animal species identification in food products: evolution of biomolecular methods. Vet J. 2013;190(1):34-8.
[15] Di Pinto A, Forte VT, Conversano MC, Tantillo GM. Duplex polymerase chain reaction for detection of pork meat in horse meat fresh sausages from Italian retail sources. Food Control. 2015;47:13-7.
[16] Amaral JS, Santos CG, Melo VS, Oliveira MBPP. Identification of food components by DNA-based methods. Methods Mol Biol. 2017;1542:3-21.
[17] Dalmasso A, Civera T, La Neve F, Bottero MT. Simultaneous detection of cow and buffalo milk in mozzarella cheese by real-time PCR assay. Food Chem. 2011;124(1):362-6.
[18] Zheng X, Chen W, Wang S, Ren P, Luo H. Development of a species-specific PCR method for the identification of buffalo milk in dairy products. Food Anal Methods. 2014;7(5):1032-8.
[19] Cutarelli A, Cappiello F, D’Urso S, et al. Detection of buffalo milk adulteration in dairy products by species-specific PCR. Int Dairy J. 2017;73:52-7.
[20] El Sheikha AF. DNAFoil, a novel technology for food monitoring and traceability. Trends Food Sci Technol. 2019;88:273-85.
[21] Golinelli LP, Carvalho AC, Casaes Nunes CA, Paschoalin VMF, Silva JT. Detection of animal DNA in dairy products processed under different manufacturing conditions. Food Control. 2014;45:71-6.
[22] Kesmen Z, Yetiman AE, Sahin F, Yetim H. Detection of chicken and turkey meat in meat mixtures by using real-time PCR assays. J Food Sci. 2012;77(2):C167-73.
[23] Soares S, Amaral JS, Oliveira MBPP, Mafra I. A SYBR Green real-time PCR assay to detect and quantify pork meat in processed poultry meat products. Meat Sci. 2013;94(1):115-20.
[24] Floren C, Wiedemann I, Brenig B, Schütz E, Beck J. Species identification and quantification in meat and meat products using droplet digital PCR (ddPCR). Food Chem. 2015;173:1054-8.
[25] Ren J, Deng T, Huang W, Chen Y, Ge Y. A digital PCR method for identifying and quantifying adulteration of meat species in raw and processed food. PLoS One. 2017;12(3):e0173567.
[26] Codex Alimentarius Commission. Guidelines on performance criteria and validation of methods for detection, identification and quantification of specific DNA sequences and specific proteins in foods. Rome: FAO/WHO; 2019.
[27] Broeders S, Huber I, Grohmann L, Berben G, Taverniers I, Mazzara M, et al. Guidelines for validation of qualitative real-time PCR methods. Trends Food Sci Technol. 2014;37(2):115-26.
[28] Mafra I, Ferreira IMPLVO, Oliveira MBPP. Food authentication by PCR-based methods. Eur Food Res Technol. 2008;227:649-65.
[29] López-Calleja I, González I, Fajardo V, Martín I, Hernández PE, García T, et al. Application of real-time PCR to detect and quantify meat adulteration in processed foods. Food Control. 2013;29(1):1-6.
[30] Amaral JS, Soares S, Oliveira MBPP, Mafra I. Advances in food authentication. TrAC Trends Anal Chem. 2017;94:1-12.
[31] Danezis GP, Tsagkaris AS, Camin F, Brusic V, Georgiou CA. Food authentication: techniques, trends and emerging approaches. TrAC Trends Anal Chem. 2016;85:123-32.
[32] Kamruzzaman M, Makino Y, Oshita S. Rapid and non-destructive authentication of food products by using visible and near-infrared spectroscopy. Trends Food Sci Technol. 2016;55:1-14.
[33] Holst-Jensen A, De Loose M, Van den Eede G. Coherence between legal requirements and approaches for detection of genetically modified organisms (GMOs) and their derived products. J Agric Food Chem. 2012;60(36):8472-9.
[34] Köppel R, Ganz S, Bucher T, Stalder M, Meyer R. Multiplex real-time PCR for the detection and quantification of DNA from beef, pork, chicken and turkey. Eur Food Res Technol. 2013;236:1093-8.
[35] Shehata HR, Li J, Alwaldt E, et al. A comparative analysis of DNA barcoding and PCR-based assays for the authentication of food products of animal origin. Food Control. 2020;114:107234.