Evaluation of a multiplex PCR for detection of a fraud in the minced beef meat by adding buffalo meat
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Keywords

species identification
food authenticity
adulteration

How to Cite

1.
Oliveira AC do S de, Ferreira BCA, Cardoso GVF, Silva CL, Silva AS da, Silva F da, Melo RM de, Cardilli DJ, Leite FPL, Roos TB, Moraes CM de. Evaluation of a multiplex PCR for detection of a fraud in the minced beef meat by adding buffalo meat. Rev Inst Adolfo Lutz [Internet]. 2016 Aug. 26 [cited 2024 Jul. 22];74(4):371-9. Available from: https://periodicos.saude.sp.gov.br/RIAL/article/view/33490

Abstract

This study aimed at evaluating the sensitivity of a multiplex PCR technique for detecting fraud by the deliberate addition of buffalo meat into the minced bovine beef. The minced bovine beef containing 0.01 %, 0.1 %, 1.0 %, 5.0 %, 10.0 %, 25.0 %, 50.0 %, 75.0 %, 90.0 %, 95.0 %, 99 %, 99.9 %, 99.99 % of minced buffalo beef were produced in triplicate, with five replicates. The minced meats exclusively of each animal species were used as control samples. Every prepared sample was analyzed by means of multiplex polymerase chain reaction. For performing the assay sensitivity analysis, the known concentrations of DNA samples (0.01 %, 0.1 %, 1.0 %, 5.0 %, 10.0 %, 25.0 %, 50.0 %, 75.0 %, 90.0 %, 95.0 %, 99.0 %, 99.9 %, 99.99 %) from Bos taurus and Bubalus bubalis species were diluted and mixed into a final volume of 10 μL; and these DNA samples were also assayed by the proposed PCR methodology. The multiplex PCR showed to be is an effective and highly sensitive technique enough for detecting increments of 10 % (2.05 ng) of bubaline DNA and of 0.1 % (0.041 ng) of bovine DNA.

https://doi.org/10.53393/rial.2015.v74.33490
PDF (Português (Brasil))

References

1. Brasil. Ministério da Agricultura, Pecuária e do Abastecimento. Instrução Normativa nº 83, de 21 de novembro de 2003. Regulamento Técnico de Identidade e Qualidade de Carne Moída de Bovino. Diário Oficial [da] União, 24 nov. 2003, Seção 1, p.29. [acesso 2014 Nov 20].Disponível em: [http://extranet.agricultura.gov.br/sislegis- consulta/consultarLegislacao.do?operacao=visualizar&id=4317].

2. Torre JCM, Beraquete NJ. Composição centesimal e teor de colágeno em carne bovina moída. Rev Inst Adolfo Lutz. 2005;64(2):223-31.

3. Pigarro PMA, Santos M. Avaliação microbiológica da carne moída de duas redes de supermercados da cidade de Londrina- PR [monografia de especialização]. Universidade Castelo Branco; 2008.

4. Mendonça BS, Silva CS, Souza LM, Martins MLL. Qualidade microbiológica da carne moída comercializada na cidade Cariacica, ES. Rev Hig Aliment. 2012;26(208/209):101-5.

5. Marques CSS, Oaigen RP, Moraes CM, Tavares REB, Lima MM, Miranda AS. Caracterização da Cadeia Produtiva Bubalina no Brasil: Rebanho, Abates e Limitações. X Congresso Brasileiro de Buiatria; setembro de 2013; Belém: XXXVII Semana do Médico Veterinário do Pará - SEMAVET. p.173-88.

6. Ohly JJ. Prova organoléptica com carnes bubalinas e bovinas de animais criados nas pastagens de várzeas da Amazônia central. Acta Amaz. 1997;27(1): 33-42. [DOI:10.1590/1809-43921997271042].

7. Brasil. Ministério da Agricultura Pecuária e Abastecimento. Decreto n° 30.691, de 29 de março de 1952. Regulamento da Inspeção Industrial e Sanitária dos Produtos de Origem Animal (RIISPOA). Diário Oficial [da] União. Brasília, DF,7 jul. 1956.

8. Mane BG, Mendiratta SK, Tiwari AK. Polymerase chain reaction assay for identification of chicken in meat and meat products. Food Chem. 2009;116(3):806-10. [DOI: 10.1016/j.foodchem.2009.03.030].

9. Mane BG, Mendiratta SK, Tiwari AK. Beef specific polymerase chain reaction assay for authentication of meat and meat products. Food Chem. 2012;(28):246-9. [DOI: 10.1016/j.foodcont.2012.05.031].

10. Instituto Brasileiro de Geografia e Estatística – IBGE (2012). Censo Agropecuário 2012. [acesso 2014 Nov 25]. Disponível em: [http://www.ibge.gov.br/home/estatistica/economia/ppm/2012/default_pdf.shtm].

11. Bender AE. Meat and meat products in human nutrition in developing. Food and Nutrition Paper 53. Food and Agriculture Organization of the United Nations. Rome; 1992.

12. Karabasanavar NS, Singh SP, Umapathi V, Kumar D, Patil G, Shebannavar SN. A highly specific PCR assay for identification of raw and heat treated mutton (Ovis aries) Small Ruminant Research. Meat Sci. 2011;100(2):153-8. [DOI:10.1016/j.smallrumres.2011.07.009].

13. López-Calleja I, González AI, Fajardo V, Rodríguez MA, Hernández PE, García T, et al. PCR detection of cows’ milk in water buffalo milkand mozzarella cheese. Int Dairy J. 2005;15(11):1122-9. [DOI: 10.1016/j.idairyj.2004.12.003].

14. Darwish SF, Allam HA, Amin AS. Evaluation of PCR assay for derection of cow’s Milk in water buffalo’s milk. World Appl Sci J. 2009;7(4):461-7.

15. Ghovvati S, Nassiri MR, Mirhoseini SZ, Moussavi AH, Javadmanesh A. Fraud identification in industrial meat products by multiplex PCR assay. Food Control. 2009;20(8):696-9. [DOI:10.1016/j.foodcont.2008.09.002].

16. Luo JQ, Wang JQ, Bu DP, Dan L, Wang L, Wei HY. Development and application of a PCR approach for detection of bovis, sheep, pig, and chicken derived materials in feedstuff. Agri Sci China. 2008;7(10):1260-6. [DOI: 10.1016/S1671-2927(08)60173-X].

17. Zhang C. Semi-nested multiplex PCR enhanced method sensitivity of species detection in further-processed meats. Food Control. 2013;31(2):326-30. [DOI: 10.1016/j.foodcont.2012.11.002].

18. Matsunaga T, Chikuni K, Tanabe R, Muroya S, Shibata K, Yamada J, et al. A quick and simple method for the identification of meat species and meat products by PCR assay. Meat Sci. 1999;51(2):143-8. [DOI: 10.1016/S0309-1740(98)00112-0].

19. Kitpipit T, Sittichan K, Thanakiatkrai, P. Direct- multiplex PCR assay for meat species identification in food products. Food Chem. 2014;(163):77-82. [DOI: 10.1016/j.foodchem.2014.04.062].

20. Ali ME, Kashif M, Uddin K, Hashim U, Mustafa S, Che Man YB. Species authentication methods in foods and feeds: the present, past, and future of halal forensics. Food Anal Methods. 2012;5(5):935–55. [DOI:10.1007/s12161-011-9357-3].

21. Kitpipit T, Sittichan K, Thanakiatkrai P. Are these food products fraudulent? Rapid and novel triplex-direct PCR assay for meat identification. Forensic Sci Int Genet. 2013;4(1):e33-4. [DOI:10.1016/j.fsigss.2013.10.016].

22. Bai WL, Yin RH, Zhao SJ, Li C, Ma ZJ, Yin RL, et al. A PCR assay for sex determination of yak (Bos grunniens) meat by amplification of the male-specific SRY gene. Food Control. 2010;21(5):726-31. [DOI:10.1016/j.foodcont.2009.10.016].

23. Veloso ACA, Teixeira N, Ferreira IMPLVO, Ferreira MA. Detecção de adulterações em produtos alimentares contendo leite e/ou proteínas lácteas. Quim Nova. 2002;25(4):609-15.

24. López-Calleja I, González I, Fajardo VA, Martin I, Hernández PE, García T, Martin R. Application of Polymerase Chain Reaction to Detect Adulteration of Sheep’s Milk with Goats’ Milk. Int Dairy J. 2005;15(6):3115-20. [DOI:10.3168/jds.S0022-0302(05)72993-3].

25. Hou B, Meng X, Zhang L, Guo J, Li S, Jin H. Development of a sensitive and specifc multiplex PCR method for the simultaneous detection of chicken, duck and goose DNA in meat products. Meat Sci. 2015;(101):90-4. [DOI: 10.1016/j.meatsci.2014.11.007].

26. Ballin NZ. Authentication of meat and meat products. Meat Sci. 2010;86(3):577-87. [DOI:10.1016/j.meatsci.2010.06.001].

27. Zha D, Xing X, Yang F. A multiplex PCR assay for fraud identification of deer products. Food Control. 2010;21(10):1402-7. [DOI:10.1016/j.foodcont.2010.04.013].

28. Drumond MG, Brasil BSAF, Dalsecco LS, Brasil RSAF, Teixeira LV, Oliveira DAA. A versatile real-time PCR method to quantify bovine contamination in buffalo products. Food Control. 2013;(29):131-7. [DOI:10.1016/j.foodcont.2012.05.051].

29. Teixeira LV, Teixeira CS, Oliveira DAA. Identificação espécie-específica de carnes e produtos cárneos de origem bubalina e bovina pela técnica de PCR RFLP. Arq Bras Med Vet Zootec. 2015;67(1):309-14. [DOI:10.1590/1678-7239].

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