Skip to main content
Log in

Heptaplex real-time PCR for the identification and quantification of DNA from beef, pork, chicken, turkey, horse meat, sheep (mutton) and goat

  • Original Paper
  • Published:
European Food Research and Technology Aims and scope Submit manuscript

Abstract

Meat products are often composed of meat from several species. Due to fraud or incorrect manufacturing processes, different proportions of unexpected or undeclared meat may be incorporated. Pork, beef, chicken, turkey, horse meat, sheep (mutton) and goat are the most common types of meat in these products. To measure the fractional proportion of each of the seven meat types simultaneously, a quantitative multiplex PCR has been developed. This system has proven its applicability in the examination of meat compounds with fractional proportions between 2 and 100%. The uncertainty was 32% or better. In a single analytical step, the multiplex PCR identifies and in certain cases quantifies the most probable species of composed meat products. Additionally, this study illustrates that by using dyes with different wavelength shifts, more targets can be distinguished than channels provided for by the Rotorgene 6000® thermocycler.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Swiss Food Legislation Verordnung über Lebensmittel tierischer Herkunft 23. November 2005 Art. 8 Abs. 5

  2. Meyer R, Candrian U, Lüthy J (1994) Detection of pork in heated meat products by the polymerase chain reaction. J AOAC Int 77(3):617–622

    CAS  Google Scholar 

  3. Matsunaga T, Chikuni K, Tanabe R, Muroya S, Shibata K, Yamada J, Shimura Y (1999) A quick and simple method for the identification of meat species and meat products by PCR assays. Meat Sci 51:143–148

    Article  CAS  Google Scholar 

  4. Laube I, Butschke A, Zagon J, Spiegelberg A, Schauzu M, Bögl K-W, Kroh LW, Broll H (2001) Nachweisverfahren für Rindfleisch in Lebensmitteln unter Anwendung der TaqMan®-Technologie Bundesgesundheitsblatt 44: 326–330

  5. Calvo JH, Osta R, Zaragoza P (2002) Quantitative PCR detection of pork in raw and heated ground beef and pâté. J Agric Food Chem 50:5265–5267

    Article  CAS  Google Scholar 

  6. Laube I, Spiegelberg A, Butschke A, Zagon J, Schauzu M, Kroh L, Broll H (2003) Methods for the detection of beef and pork in foods using real-time polymerase chain reaction. Int J Food Sci Technol 38:111–118

    Article  CAS  Google Scholar 

  7. Sawyer J, Wood C, Shanahan D, Gout S, McDowell D (2003) Real-time PCR for quantitative meat species testing. Food Control 14:579–583

    Article  CAS  Google Scholar 

  8. Brodmann P, Moor D (2003) Sensitive and semi-quantitative TaqMan® real-time polymerase chain reaction systems for the detection of beef (Bos taurus) and the detection of the family Mammalia in food and feed. Meat Sci 65: 599–607

    Google Scholar 

  9. Rodriguez MA, Garcia T, Gonzales I, Asensio L, Pablo E, Hernandez PE, Rosario Martin R (2004) Quantitation of mule duck in goose foie gras using TaqMan real-time polymerase chain reaction. J Agric Food Chem 52: 1478–1483

    Google Scholar 

  10. Binke R, Spiegel K, Schwägele F (2005) Vergleichende Untersuchung von mitochondrialen und nukleären Gensequenzen zur Identifizierung von tierischen Bestandteilen in Fleischerzeugnissen mittels PCR. Mitteilungsblatt der Fleischforschung Kulmbach 44(169):201–210

    Google Scholar 

  11. Lopez-Andreo M, Lugo L, Garrido-Pertierra A, Prieto I, Puyet A (2005) Identification and quantitation of species in complex DNA mixtures by real-time polymerase chain reaction. Anal Biochem 339:73–82

    Article  CAS  Google Scholar 

  12. Hird H, James Chisholm J, Brown J (2005) The detection of commercial duck species in food using a single probe-multiple species-specific primer real-time PCR assay. Eur Food Res Technol 221:559–563

    Article  CAS  Google Scholar 

  13. Lopez-Andreo M, Lugo L, Garrido-Pertierra A, Prieto I, Puyet A (2005) Identification and quantitation of species in complex DNA mixtures by real-time polymerase chain reaction. Anal Biochem 339:73–82

    Article  CAS  Google Scholar 

  14. Laube I, Zagon J, Broll H (2007) Quantitative determination of commercially relevant species in foods by real-time PCR. Int J Food Sci Technol 42:336–341

    Article  CAS  Google Scholar 

  15. Eugster A, Ruf J, Rentsch J, Hübner P, Köppel R (2008) Quantification of beef and pork fraction in sausages by real-time PCR analysis: results of an interlaboratory trial. Eur Food Res Technol 227(1):17–20

    Article  CAS  Google Scholar 

  16. Köppel R, Ruf J, Zimmerli F, Breitenmoser A (2008) Multiplex real-time PCR for the detection and quantification of DNA from beef, pork, chicken and turkey. Eur Food Res Technol 227(4):1199–1203

    Article  Google Scholar 

  17. Jonker KM, Tilburg JHC, Hägele GH, De Boer E (2008) Species identification in meat products using real-time PCR. Food Addit Contam 25(5):527–533

    Article  CAS  Google Scholar 

Download references

Acknowledgments

We thank the Cantonal Laboratory of Zurich for providing the resources to enable this work. Additional thanks are due to Qiagen GmbH Hilden of Germany for their generous support of this work by providing the QuantiTect® Multiplex PCR NoROX Master Mix Kit.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to René Köppel.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Köppel, 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 230, 125–133 (2009). https://doi.org/10.1007/s00217-009-1154-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00217-009-1154-5

Keywords

Navigation