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2019 | 75 | 07 |

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Molecular techniques for detecting food adulteration

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Food adulteration means that substances have been added to food that change its composition and reduce its nutritional value. Food adulteration also includes giving a product a misleading name, providing false information on its composition, date of production or expiry date, and any other incorrect labelling. Numerous cases of food adulteration have been recorded in many countries, including Poland. This has led to the creation of a new field of science, known as ‘green criminology’, to combat violations of food law. Over the years, new techniques for identifying food adulterations have been developed. Originally, these were sensory techniques, which proved unreliable. Later, physical analysis of the product was performed on the basis of information on the label and microscopic examination. Later methods, based on identification of lipids and proteins, were also unreliable due to biochemical changes during processing. These problems prompted scientists to become interested in the potential of DNA testing. Due the stability of DNA and the universal applicability of DNA-based methods to all cells, they are ideal for use in practice. Currently, the most reliable test for detecting food adulteration is PCR, as it is a highly sensitive and specific technique.








Opis fizyczny



  • Department of Biochemistry and Food Chemistry, Faculty of Food Science and Biotechnology, University of Life Sciences in Lublin, Skromna 8, 20-704 Lublin, Poland
  • Department and Clinic of Animal Internal Diseases, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, Gleboka 30, 20-612 Lublin, Poland
  • Institute of Biological Basis of Animal Production, Faculty of Biology and Animal Breeding and Bioeconomy, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland
  • Department and Clinic of Animal Internal Diseases, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, Gleboka 30, 20-612 Lublin, Poland


  • Ali M. E., Razzak M. A., Hamid A. S. B.: Multiplex PCR in species authentication: probability and prospects – a review. Food Anal. Method 2014, 7, 1933-1949.
  • Ballin N. Z., Vogensen F. K., Karlsson A. H.: Species determination – can we detect and quantify meat adulteration? Meat Sci. 2009, 83, 165-174.
  • Bania J., Ugorski M., Polanowski A., Adamczyk E.: Application of polymerase chain reaction for detection of goats’ milk adulteration by milk of cow. Journal of Dairy Research 2001, 68, 333-336.
  • Cammà C., Di Domenico M., Monaco F.: Development and validation of fast real-time PCR assays for species identification in raw and cooked meat mixtures. Food Control 2012, 23, 400-404.
  • Fajardo V., Gonzalez I., Martin I., Rojas M., Hernandez P. E., Garcia T., Martin R.: Real-time PCR for detection and quantification of red deer (Cervus elaphus), fallow deer (Dama dama), and roe deer (Capreolus Capreolus) in meat mixtures. Meat Sci. 2008, 79, 289-298.
  • Fajardo V., Gonzáles I., Rojas M., García T., Martín R.: A review of current PCR-based methodologies for the authentication of meats from game animal species. Trends Food Sci. Technol. 2010, 21, 408-421.
  • Hazim M. M. Y., Mustafa S., Cheman Y. B., Omar A. R., Mokhtar N. F. K.: Detection of raw pork targeting porcine-specific mitochondrial cytochrome b gene by molecular beacon probe real-time polymerase chain reaction. Food Anal. Method. vol. 5 2012, 422-429.
  • Herrero B., Vieites J. M., Espiñeira M.: Authentication of Atlantic salmon (Salmo Salar) using real-time PCR. Food Chem. 2011, 127, 1268-1272.
  • Karlsson A. O., Holmlund G.: Identification of mammal species using speciesspecific DNA pyrosequencing. Forensic Sci. Int. 2007, 173, 16-20.
  • Kesmen Z., Celebi Y., Güllüce A., Yetim H.: Detection of seagull meat in meat mixtures using real-time PCR analysis. Food Control 2013, 34, 47-49.
  • Koppel R., Zimmerli F., Breitenmoser A.: Heptaplex real-time PCR for the identification and quantification of DNA from beef, pork, chicken, turkey, horse meat, sheep (mutton) and goat. Eur. Food Res. Technol. 2009, 230, 125-133.
  • Köppel R., Ruf J., Rentsch J.: Multiplex real-time PCR for the detection and quantification of DNA from beef, pork, horse and sheep. Eur. Food Res. Technol. 2011, 232, 151-155.
  • Kowalczyk M., Zawadzka E., Jakubczak A., Gryzińska M., Szewczuk D.: Molecular Markers Used in Human and Animal Forensic Genetics. Med. Sci. Law. 2018, 58, 201-209.
  • Kumar V., Kumar Shukla S., Kumar Singh S., Goyal G., Mathew J., Sharma D.: Genetic diversity and phylogenic relationship analysis between red jungle fowl and domestic chicken using AFLP markers. Japan Poult. Sci. As. 2015, 52, 94-100.
  • Mawgood A. L. A.: DNA based techniques for studying genetic diversity. Genet. Diversity Microorg. vol. 4, 2012, 97.
  • Mecca J. N., Meireles R., De Andrade H. F. Jr.: Quality control of toxoplasma gondii in meat packages: standardization of an ELISA test and its use for detection in rabbit meat cuts. Meat Sci. 2011, 88, 584-589.
  • Mohamad N. A., El Sheikha A. F., Mustafa S., Mokhtar N. F. K.: Comparison of gene nature used in real-time PCR for porcine identification and quantification: a review. Food Res. Int. 2013, 50, 330-338.
  • Mollica J. P., Oakhill J. S., Lamb G. D., Murphy R. M.: Are genuine changes in protein expression being overlooked? Reassessing western blotting. Anal. Biochem. 2009, 386, 270-275.
  • Nurjuliana M., Cheman Y. B., Mat Hashim D., Mohamed A. K.: Rapid identification of pork for halal authentication using the electronic nose and gas chromatography mass spectrometer with headspace analyzer. Meat Sci. 2011, 88, 638-644.
  • Pływaczewski W., Płocki R.: Nielegalny rynek żywności. Skala zjawiska i możliwości przeciwdziałania. Wydawnictwo Wyższej Szkoły Policji w Szczytnie. Szczytno 2013, p. 12-15.
  • Raamsdonk L. W. D. Van, Holst C. von, Baeten V., Berben G., Boix A., de Jong J.: New developments in the detection and identification of processed animal proteins in feeds. Anim. Feed Sci. Technol. 2007, 133, 63-83.
  • Rienzo di V., Fanelli V., Miazzi M. M., Savino V., Pasqualone A., Summo C., Giannini P., Sabetta W., Montemurro C.: A reliable analytical procedure to discover table grape DNA adulteration in industrial wines and musts. Acta Hortic. 2017, 1188, 365-370.
  • Rohman A., Sismindari, Erwanto Y., Cheman Y. B.: Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. Meat Sci. 2011, 88, 91-95.
  • Soares S., Amaral J. S., Oliveira M. B., Mafra I.: A Sybr Green realtime PCR assay to detect and quantify pork meat in processed poultry meat products. Meat Sci. 2013, 94, 115-120.
  • Spiegel M. Van der, Fels-Klerx H. J. Van der, Sterrenburg P., Ruth S. M. van, Scholtens-Toma I. M. J., Kok E. J.: Halal assurance in food supply chains: verification of halal certificates using audits and laboratory analysis. Trends Food Sci Technol. 2012, 27, 109-119.
  • Stirtzel S., Andree S., Seuss-Baum I., Schwagele F.: Authentification of the most common poultry species by means of PCR. Fleischwirtschaft 2007, 87, 86-89.
  • Śmiechowska M.: Autentyczność jako kryterium zapewnienia jakości żywności. Ann. Acad. Med. Gedan. 2013, 43, 176.
  • Tahira T., Kukita Y., Higasa K., Okazaki Y., Yoshinga A., Hayashi K.: Estimation of SNP allele frequencies by SSCP analysis of pooled DNA. Single nucleotide polymorphisms. Methods Protocols 2009, 578, 193-207.
  • Targoński Z., Stój A.: Zafałszowania żywności i metody ich wykrywania. Żywn. Nauk. Technol. 2005, 4, 30-40.
  • Tobe S. S., Linacre A. M. T.: A multiplex assay to identify 18 European mammal species from mixtures using the mitochondrial cytochrome b gene. Electrophoresis 2008, 29, 340-347.
  • Tsai-Hsiu CH., Ching-Wen K., Hui-Chin L., Ding-Shi H., Po-Long W.: Genetic diversity of ivory shell (Babylonia Areolata) in Taiwan and identification of species using DNA-based assays. Food Control 2015, 48, 108-116.
  • Ulca P., Balta H., Cagin I., Senyuva H. Z.: Meat species identification and halal authentication using PCR analysis of raw and cooked traditional Turkish foods. Meat Sci. 2013, 94, 280-284.

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