Skip to main content

GMO Detection

  • Chapter
  • First Online:
  • 2976 Accesses

Part of the book series: Food Microbiology and Food Safety ((FMFS))

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Ahmed, F. E. (2002). Detection of genetically modified organisms in foods. Trends Biotechnology, 20, 215–223.

    Article  CAS  Google Scholar 

  • Anklam, E., Gadani, F., Heinze, P., Pijnenburg, H., & Van Den Eede, G. (2002). Analytical methods for detection and determination of genetically modified organisms in agricultural crops and plant derived products. European Food Research and Technology, 214, 3–26.

    Article  CAS  Google Scholar 

  • Arvanitoyannis, I. S., Choreftaki, S., & Tserkezou, D. (2005). An update of EU legislation (Directives and Regulations) on food-related issues (safety, hygiene, packaging, technology, GMOs, additives, radiation, labelling): presentation and comments. International Journal of Food Science & Technology, 40, 1021–1112.

    Article  CAS  Google Scholar 

  • Babu, C. V. S., Song, E. J., Babar, S. M., Oh, E., Wi, M. H., & Yoo, Y. S. (2008). Capillary Electrophoresis at the omics level: Towards systems biology – An update. Electrophoresis, 29, 129–142.

    Article  Google Scholar 

  • Bai, S. L., Zhong, X. B., Ma, L. G., Zheng, W., Fan, L.-M., Wei, N., & Deng, X. W. (2007). A simple and reliable assay for detecting specific nucleotide sequences in plants using optical thin-film biosensor chips. Plant Journal, 49, 354–366.

    Article  CAS  Google Scholar 

  • Beismann, H., Finck, M., & Seitz, H. (2007). Standardisation of methods for GMO Monitoring on a European level. Journal for Consumer Protection and Food Safety, 2(Suppl. 1), 76–78.

    Google Scholar 

  • Bendixen, C., Hedegaard, J., & Horn, P. (2005). Functional genomics in farm animals – Microarray analysis, Meat Science, 71, 128–137.

    Article  CAS  Google Scholar 

  • Bertheau, Y., Diolez, A., Kobilinsky, A., & Magin, K. (2002). Detection methods and performance criteria for genetically modified organisms. The Journal of AOAC International, 85, 801–808.

    CAS  Google Scholar 

  • Bertoni, G., & Marsan, P. A. (2005). Safety risks for animals fed genetic modified (GM) plants. Veterinary Research Communications, 29(Suppl. 2), 13–18.

    Article  Google Scholar 

  • Biotech Industry Organisation. (2008). Biotechnology Industry Review. From http://www.accessexcellence.org/RC/AB/IE/Biotech_Industry_Review.php.

  • Bonfini, L., Heinze, P., Kay, S., & Van den Eede, G. (2001). Review of GMO detection and quantification techniques, final version. From http://www.osservaogm.it/pdf/JRCReview.pdf.

  • Brera, C., Donnarumma, E., Foti, N., Miraglia, M., Onori, R., & Pazzaglini, B. (2005). Evaluation of sampling criteria for the detection of GM soybeans in bulk. Italian Journal of Food Science, 17, 177–185.

    Google Scholar 

  • Brod, F. C. A., & Raisi, A. C. M. (2005). Recombinant DNA in meat additives: Specific detection of Roundup Ready™ soybean by nested PCR. Journal of the Science of Food and Agriculture, 87, 1980–1984.

    Article  Google Scholar 

  • Brown, S. C., Kruppa, G., & Dasseux, J. L. (2005). Metabolomics applications of FT-ICR mass spectrometry. Mass Spectrometry Reviews, 24, 223–231.

    Article  CAS  Google Scholar 

  • Buntjer, J. B., Lenstra, J. A., & Nel, H. (1995). Rapid species identification in meat by using satellite DNA probes, Zeitschrift Lebensmitteluntersuch. Forschung, 201, 577–582.

    Article  CAS  Google Scholar 

  • Cankar, K., Štebih, D., Dreo, T., Žel, J., & Gruden, K. (2006). Critical points of DNA quantification by real-time PCR – effects of DNA extraction method and sample matrix on quantification of genetically modified organisms, BMC Biotechnology, 6, doi: 10.1186/1472-6750-6-37.

    Google Scholar 

  • Chapela, M. J., Sotelo, G. C., Pérez-Martín, R. I., Pardo, M. D., Pérez-Villareal, B., Gilardi, P., et al. (2007). Comparison of DNA extraction methods from muscle of canned tuna for species identification, Food Control, 18, 1211–1215.

    Article  CAS  Google Scholar 

  • Chen, T. L., Sanjay, A., Prasad, V., Lee, C. H., Lin, K. H., Chiueh, L. C., et al. (2006). Validation of cDNA microarray as a prototype for throughput detection of GMOs. Botanical Studies, 47, 1–11.

    Google Scholar 

  • Collard, B. C. Y., & Mackill, D. J. (2008). Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 363, 557–572.

    Article  CAS  Google Scholar 

  • Czaplicki, A., Ovesná, J., & de Vries, E. G. (2005). History and uses of plant biotechnology. In P. Pechan, & G. E. de Vries (Eds.), Genes on the menu – facts for knowledge-based decision (pp. 10–17).Berlin: Springer.

    Google Scholar 

  • Daniell, H., Ruiz, O. N., & Dhingra, A. (2005). Chloroplast genetic engineering to improve agronomic traits. Transgenic Plants: Methods and Protocols, 286, 111–137.

    Article  CAS  Google Scholar 

  • De Leon-Garcia, L. P. (2007). Codex Alimentarius and international regulations to conduct food safety assessment of foods derived from recombinant-DNA plants. Revista Mexicana De Ingenieria Quimica, 6, 1–9.

    Google Scholar 

  • Degrieck, I., Silva, E. D., Van Bockstaele, E., & De Loose, M. (2005). Quantitative GMO detection in maize (Zea mays L.) seed lots by means of a three-dimensional PCR based screening strategy. Seed Science and Technology, 33, 31–43.

    Google Scholar 

  • Deisingh, A. K., & Badrie, N. (2005). Detection approaches for genetically modified organisms in foods. Food Research International, 38, 639–649.

    Article  CAS  Google Scholar 

  • Delseny, M., Cooke, R., Comella, P., Wu, H. J., Raynal, M., & Grellet, F. (1997). The Arabidopsis thaliana genome project, Comptes Rendus De L Academie Des Sciences Serie Iii-Sciences De La Vie-Life Sciences, 320, 589–599.

    Article  CAS  Google Scholar 

  • Demeke, T., Perry, D. J., & Scowcroft, W. R. (2006). Adventitious presence of GMOs: Scientific overview for Canadian grains. Canadian Journal of Plant Science, 86, 1–23.

    Google Scholar 

  • Di Pinto, A., Forte, V. T., Guastadisegni, M. G., Martino, C., Schena, F., & Tantillo, B (2007). A comparison of DNA extraction methods for food analysis. Food Control, 18, 76–81.

    Article  Google Scholar 

  • Dos Santos Ferrari, C., Valente, L. L., Brod, F. C. A., Tagliari, C., Sebastião, E. S., & Arisi, S. A. C. M. (2007). Evaluation of polymerase chain reaction and DNA isolation protocols for detection of genetically modified soybean. International Journal of Food Science & Technology, 42, 1249–1255.

    Article  CAS  Google Scholar 

  • Du, S. J., Gong, Z., Fletcher, G. L., Shears, M. A, King, M. J., Idler, D. R., et al. (1992). Growth enhancement in transgenic Atlantic salmon by the use of an all fish chimeric growth-hormone gene construct. Bio/Technology, 10, 176–181.

    Article  CAS  Google Scholar 

  • Emslie, K. R., Whaites, L., Griffiths, K. R., & Murby, E. J. (2007). Sampling plan and test protocol for the semiquantitative detection of genetically modified canola (Brassica napus) seed in bulk canola seed. Journal of Agricultural and Food Chemistry, 55, 4414–4421.

    Article  CAS  Google Scholar 

  • Ermolli, M., Fantozzi, A., Marini, M., Scotti, D., Balla B., Hoffmann, S., et al. (2006). Food safety: Screening tests used to detect and quantify GMO proteins. Accreditation Quality Assurance, 11, 55–57.

    Article  CAS  Google Scholar 

  • Federal Health Office. (1998) Detection of a genetic modification of Lactobacillus curvatus in uncooked-meat sausage by amplification of the modified DNA sequence using the polymerase chain reaction (PCR) and hybridization of the PCR product with a DNA probe. In Collection of official methods under article 35 of the German Federal Foods Act; Methods or sampling and analysis of foods, tobacco products, cosmetics and commodity goods. Berlin: Beuth Verlag GmbH.

    Google Scholar 

  • Ferrari, C. D. S., Lehmkuhl Valente, L., Brod, F. C. A., Tagliari, C., Sant'Anna, E. S., & Maisonnave Arisi, A. C. (2007). Evaluation of polymerase chain reaction and DNA isolation protocols for detection of genetically modified soybean. International Journal of Food Science & Technology, 42, 1249–1255.

    Article  Google Scholar 

  • Fletcher, G. L., Davies, P. L., & Hew, C. L. (1992). Genetic engineering of freeze resistant Atlantic salmon. In C. L. Hew, & G. L. Fletcher (Eds.), Transgenic fish (pp. 190–208). River Edge, NJ: World Scientific Publishing.

    Google Scholar 

  • Food and Agriculture Organization. (2008). From http://www.fao.org/DOCREP/MEETING/006/Y8350e.HTM.

  • Freese, L., Scholdberg, T. A., Burton, D. D., Norden, T. D., Shokere, L. A., & Jenkins, G. R. (2007). Evaluating homogeneity of LL601 rice in commercial lots using quantitative real-time PCR Source. Journal of Agricultural and Food Chemistry, 55, 6060–6066.

    Article  CAS  Google Scholar 

  • Gamborg, P., & Sandøe, A. (2004). Sustainability in farm animal breeding: a review. Livestock Production Science, 92, 221–231.

    Article  Google Scholar 

  • García-Cañas, V., Cifuentes, A., & Gonzalez, R. (2004). Detection of genetically modified organisms in foods by DNA amplification techniques. Critical Reviews in Food Science and Nutrition, 44, 425–436.

    Article  Google Scholar 

  • García-Cañas, V., González, R., & Cifuentes, A. (2004). The combined use of molecular techniques and capillary electrophoresis. Trends in Analytical Chemistry, 23, 637–643.

    Article  Google Scholar 

  • Giovannini, T., & Concillo, L. (2002). PCR detection of genetically modified organisms: a review. Starch, 54, 321–327.

    Article  CAS  Google Scholar 

  • Hallenan, E. M., McLean, E., & Fleming, I. A. (2007). Effects of growth hormone transgenes on the behavior and welfare of aquacultured fishes: A review identifying research needs. Applied Animal Behaviour Science, 104, 265–294.

    Article  Google Scholar 

  • Harbers, M. (2008). The current status of cDNA cloning. Genomics, 91, 232–242.

    Article  CAS  Google Scholar 

  • Hazebroek, J. P. (2000). Analysis of genetically modified oils. Progress in Lipid Research, 39, 477–506.

    Article  CAS  Google Scholar 

  • Herdt, R. W. (2006). Biotechnology in Agriculture. Annual Review of Environment and Resources, 31, 265–295.

    Article  Google Scholar 

  • Hernandez, M., Rodriguez-Lazaro, D., & Ferrando, A. (2005). Current methodology for detection, identification and quantification of genetically modified organisms. Current Analytical Chemistry, 1, 203–221.

    Article  CAS  Google Scholar 

  • Holst-Jensen, A., & Berdal, K. G. (2004). The modular analytical procedure and validation approach and the units of measurement for genetically modified materials in foods and feeds. The Journal of AOAC International, 87, 4927–936.

    Google Scholar 

  • Hug, K. (2008). Genetically modified organisms: do the benefits outweigt the risks? Medicina Lithuania, 44, 87–99.

    Google Scholar 

  • Hulse, J. H. (2004). Biotechnologies: past, history, present state and future prospects trends. Food Science and Technology, 15, 3–18.

    Article  CAS  Google Scholar 

  • Jerman, S., Podgornik, A., Cankar, K., Čadež, N., Skrt, M., Žel, K., et al. (2005). Detection of processed genetically modified food using CIM monolithic columns for DNA isolation. Journal of Chromatography, 1065, 107–113.

    Article  CAS  Google Scholar 

  • Kamenarova, K., Gecheff, K., Stoyanova, M., Muhovski, Y., Anzai, H., & Atanassov, A. (2007). Production of recombinant human lactoferin in transgenic barley. Biotechnology & Biotechnological Equipment, 21, 18–27.

    CAS  Google Scholar 

  • Kasama, K., Watanabe, T., Kikuchi, H., Suzuki, T., Tokishita, S., Sakata, K., et al. (2005). Laboratory-performance study of the quantitative detection method for genetically modified soybeans (Roundup ready soybeans 40-3-2). Journal of Food Hygienic Social Japan, 46, 270–276.

    Article  CAS  Google Scholar 

  • Kay, R., & Paoletti, C. (2001). Sampling Strategies for GMO detection and/or quantification. From http://biotech.jrc.it/home/documents/EuroReport-Sampling_Strategies.pdf.

  • Kobilinsky, A., & Bertheau, Y. (2005). Minimum cost acceptance sampling plans for grain control, with application to GMO detection. Chemometrics and Intelligent Laboratory Systems, 75, 189–200.

    Article  CAS  Google Scholar 

  • Kok, E. J., Keijer, J., Meter, G. A., & Kuiper, H. A. (2008). Comparative safety assessment of plant derived foods. Regulatory Toxicology and Pharmacology, 50, 98–113.

    Article  CAS  Google Scholar 

  • Kolodziejczyk, P. P., & Fedec, P. (1999). Recent progress in agricultural biotechnology and opportunities for contract research and development. Chemicals via Higher Plant Bioengineering, 464, 5–20.

    CAS  Google Scholar 

  • Konig, A., Cockburn, A., Crevel, R. W. R., Debruyne, E., Grafström, R. C., Hammerling, U., et al. (2004). Assessment of the safety of foods derived from genetically modified (GM) crops. Food and Chemical Toxicology, 42, 1047–1088.

    Article  CAS  Google Scholar 

  • La Paz, J. L., Esteve, T., & Pla, M. (2007). Comparison of real-time PCR detection chemistries and cycling modes using Mon810 event-specific assays as model. Journal of Agricultural and Food Chemistry, 11, 4312–4318.

    Article  Google Scholar 

  • Lechner, M., & Rieder, J. (2007). Mass spectrometric profiling of low-molecular-weight volatile compounds - Diagnostic potential and latest applications. Current Medicinal Chemistry, 14, 987–995.

    Article  CAS  Google Scholar 

  • Leimanis, S., Hernandez, M., Fernande, S., Boyer, F., Burns, M., Bruderer, S., et al. (2006). A microarray-based detection system for genetically modified (GM) food ingredients. Plant Molecular Biology, 61, 123–139.

    Article  CAS  Google Scholar 

  • Lezaun, J. (2006). Creating a new object of government: Making genetically modified organisms traceable. Social Studies Science, 36, 499–531.

    Article  Google Scholar 

  • Lupotto, E., & Stile, M. R. (2007). Molecular farming in plants. Conference Information: 11th Annual Congress of the IAPTCB, Aug. 13–18, 2006 Beijing China, Biotechnology and Sustainable Agriculture and Betone, 389–396.

    Google Scholar 

  • Marabelli, R. (2005). Aspects connected with the enforcement of the EU provisions on genetically modified organisms. Veterinary Research Communications, 29 (Suppl. 2), 19–26.

    Article  Google Scholar 

  • Markoulatos, P., Siafakas, N., Papatho, A., Nerantzis, E., Betzios, B., Dourtoglou, T., et al. (2004). Qualitative and quantitative detection of protein and genetic traits in genetically modified food. Food Reviews International, 20, 275–296.

    Article  CAS  Google Scholar 

  • Marvier, M. (2008). Pharmaceutical crops in California, benefits and risks: A review. Agronomy for Sustainable Development, 28, 1–10.

    Article  Google Scholar 

  • McLean, E., & Devlin, R. H. (2000). Application of Biotechnology to enhance growth of salmonids and other fish. In M. Fingerman, & R. Nagabhushanam (Eds.), Recent advances in marine biotechnology (Vol. 4, pp. 17–55). Enfield, NH: Aquaculture, Part B: Fishes. Science Publishers.

    Google Scholar 

  • Metz, T. O., Zhang, Q. B., Page, J. S., Shen, Y., Callister, S. J., Jacobs, J. M., et al. (2007). Future of liquid chromatography-mass spectrometry in metabolic profiling and metabolomic studies for biomarker discovery. Biomarkers in Medicine, 1, 159–185.

    Article  CAS  Google Scholar 

  • Meyer, V. (2008). Genetic engineering of filamentous fungi - Progress, obstacles and future trends. Biotechnology Advances, 26, 177–185.

    Article  CAS  Google Scholar 

  • Miraglia, M., Berdal, K. G., Brera, C., Corbisier, P., Holst-Jensen, A., Kok, E. J., et al. (2004). Detection and traceability of genetically modified organisms in the food production chain. Food and Chemical Toxicology, 42, 1157–1180.

    Article  CAS  Google Scholar 

  • Monastra, G., & Rossi, L. (2003). Transgene foods as a tool for malnutrition elimination and their impact on agricultural system. Rivista di Biologia , 96, 363–384.

    Google Scholar 

  • Moreano, F., Busch, U., & Engel, K. H. (2005). Distortion of genetically modified organism quantification in processed foods: Influence of particle size compositions and heat-induced DNA degradation. Journal of Agricultural and Food Chemistry, 53, 9971–9979.

    Article  CAS  Google Scholar 

  • Moreano, F., Ehlert, A., Busch, U., & Engel, K. H. (2006). Ligation-dependent probe amplification for the simultaneous event-specific detection and relative quantification of DNA from two genetically modified organisms. European Food Research and Technology, 222, 479–485.

    Article  CAS  Google Scholar 

  • Moreano, F. X. (2007). Novel strategies for the detection of genetically modified food and feed. Archiv fur Lebensmittelhygiene, 58, 43–46.

    CAS  Google Scholar 

  • Nam, Y. K., Maclean, N., Hwang, G., & Kim, G. S. (2008). Autotransgenic and allotransgenic manipulation of growth traits in fish for aquaculture: a review. Journal of Fish Biology, 72, 1–26.

    Article  CAS  Google Scholar 

  • Nesvold, H., Kristoffersen, A. B., Holst-Jensen, A., & Berdal, K. G. (2005). Design of a DNA chip for detection of unknown genetically modified organisms (GMOs). Bioinformatics, 21, 1917–1926.

    Article  CAS  Google Scholar 

  • Niemann, H. (2008). Application perspectives of animal biotechnology. Zuchtungskunde, 80, 61–66.

    Google Scholar 

  • Paoletti, C., Donatelli, M., Kay, S., & Van Den Eede, G. (2003). Simulating kernel lot sampling: the effect of heterogeneity on the detection of GMO contaminations. Seed Science and Technology, 31, 629–638.

    Google Scholar 

  • Paoletti, C., Heissenberger, A., Mazzara, M., Larcher, S., Grazioli, E., Corbisier, P., et al. (2006). Kernel lot distribution assessment (KeLDA): A study on the distribution of GMO in large soybean shipments. European Food Research and Technology, 224, 129–139.

    Article  CAS  Google Scholar 

  • Pechan, P. (2005). Basic fact about GM crop. In P. Pechan, & G. E. de Vries (Eds.), Genes on the menu – Facts for knowledge-based decision (pp. 10–17). Berlin: Springer.

    Google Scholar 

  • Rahman, M. A., & Maclean, N. (1999). Growth performance of transgenic tilapia containing an exogenous piscine growth hormone gene. Aquaculture, 173, 333–346.

    Article  CAS  Google Scholar 

  • Ramessar, K., Sabalza, M., Capell, T., & Christou, P. (2008). Maize plants: An ideal production platform for effective and safe molecular pharming. Plant Science, 174, 409–419.

    Article  CAS  Google Scholar 

  • Remund, K. M., Dixon, D. A., Wright, D. L., & Holden, L. R. (2001). Statistical considerations in seed purity testing for transgenic traits. Seed Science Research, 11, 101–119.

    Google Scholar 

  • Roy, S., & Sen, C. K. (2006). cDNA microarray screening in food safety. Toxicology, 221, 128–133.

    Article  CAS  Google Scholar 

  • Sauter, H., Lauer, M., & Fritsch, H. (1991). Metabolic Profiling Of Plants – A New Diagnostic-Technique. ACS Symposium Series, 443, 288–299.

    Article  CAS  Google Scholar 

  • Sayre, P., & Seidler, R. J. (2005). Application of GMOs in the US: EPA research & regulatory considerations related to soil systems., Plant and Soil, 275, 77–91.

    Article  CAS  Google Scholar 

  • Singh, O. V., Ghai, S., Paul, D., & Jain, R. K. (2006). Genetically modified crops: success, safety assessment, and public concern. Applied Microbiology and Biotechnology, 71, 598–609.

    Article  CAS  Google Scholar 

  • Smith, D. S., & Maxwell, P. W. (2007). Use of quantitative PCR to evaluate several methods for extracting DNA from corn flour and cornstarch. Food Control, 18, 236–242.

    Article  CAS  Google Scholar 

  • Snelling, W. M., Chiu, R., Schein, J. E., Hobbs, M., Abbey, C. A., Adelson, D. L., et al. (2007). A physical map of the bovine genome. Genome Biology, 8, R165. DOI: 10.1186/gb-2007-8-8-r165

    Google Scholar 

  • Sölkner, J., Grausgruber, H., Okeyo, A. M., Ruckenbauer, P. & Wurzinger, M. (2008). Breeding objectives and the relative importance of traits in plant and animal breeding: a comparative review. Euphytica, 161, 273–282.

    Article  Google Scholar 

  • Starbird, S. (2007). Testing errors, supplier segregation, and food safety. Agricultural Economics, 36, 325–334.

    Article  Google Scholar 

  • Stein, N. (2007). Triticeae genomics: advances in the sequence of large genome cereal crops. Chromatography Research, 15, 21–31.

    CAS  Google Scholar 

  • Straub, J. A., Hertel, C., & Hammes, W. P. (1999). The fate of recombinant DNA in thermally treated fermented sausages. European Food Research and Technology, 210, 62–67.

    Article  CAS  Google Scholar 

  • Theofanis, C. (2004). The precautionary principle, risk assessment, and the comparative role of science in the EC and the US legal systems. In N. J. Vig, & M. G. Faure (Eds.), Green giants, environmental policies of the US and the EU (pp. 17–52). MA.USA: MIT Press, Cambridge.

    Google Scholar 

  • Toyota, A., Akiyama, H., Sugimura, M., Watanabe, A., Sakata, K., Shiramasa, H., et al. (2006). Rapid quantification methods for genetically modified maize contents using genomic DNAS pretreated by sonication and restriction endonuclease digestion for a capillary-type real-time PCR system with a plasmid reference standard. Bioscience, Biotechnology and Biochemistry, 70, 2965–2973.

    Article  CAS  Google Scholar 

  • Van den Eede, G., Aarts, H. J., Buhk, H. J., Corthier, G., Flint, H. J., Hammes, W., et al. (2004). The relevance of gene transfer to the safety of food and feed derived from genetically modified (GM) plants. Food and Chemical Toxicology, 42, 1127–1156.

    Article  Google Scholar 

  • Waiblinger, H. U., Ernst, B., Graf, N., & Pietsch, K. (2007). Ring trial validation of a method for the extraction of DNA from soy lecithins. Journal for Consumer Protection and Food Safety, 2, 113–115.

    CAS  Google Scholar 

  • Wang, X. M., Li, W. Q., Li, M. Y., & Welti, R. (2006). Profiling lipid changes in plant response to low temperatures. Physiologia Plantarum, 126, 90–96.

    Article  CAS  Google Scholar 

  • Wolf, E., Schernthaner, W., Zakhartchenko, V., Prelle, K., Stojkovic, M., & Brem, G. (2000). Transgenic technology in farm animals-progress and perspectives. Experimental Physiology, 85, 615–625.

    Article  CAS  Google Scholar 

  • Xu, J., Zhu, S., Miao, H., Huang, W., Qiu, M., Huang, Y., et al. (2007). Event-specific detection of seven genetically modified soybean and maizes using multiplex-PCR coupled with oligonucleotide microarray. Journal of Agricultural and Food Chemistry, 55, 5575–5579.

    Article  CAS  Google Scholar 

  • Žel, J., Gruden, K., Cankar, K., Štebih, D., & Blejec, A. (2007). Calculation of measurement uncertainty in quantitative analysis of genetically modified organisms using intermediate precision – A practical approach. Journal of AOAC International, 90, 582–586.

    Google Scholar 

  • Žel, J., Cankar, K., Ravnikar, M., Camloh, M., & Gruden, K. (2006). Accreditation of GMO detection laboratories: Improving the reliability of GMO detection, Accreditation and Quality assurance. Journal for Quality, Comparability and Reliability in Chemical Measurement, 10, 531–536.

    Google Scholar 

Download references

Acknowledgment

The work was supported by the projects of The Czech Ministry of Agriculture CZ00027002602, MZE0002700604 and 1B44068 (National Agency for Agricultural Research).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jaroslava Ovesná .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Ovesná, J., Demnerová, K., Pouchová, V. (2009). GMO Detection. In: Toldrá, F. (eds) Safety of Meat and Processed Meat. Food Microbiology and Food Safety. Springer, New York, NY. https://doi.org/10.1007/978-0-387-89026-5_20

Download citation

Publish with us

Policies and ethics