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Food Additives & Contaminants: Part A Volume 39, 2022 - Issue 4
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Articles

A new real-time PCR assay to specifically detect crustaceans in vegan raw materials and vegan shrimps

Geoffrey CottenetInstitute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, SwitzerlandCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4293-8158
ORCID Icon &
Carine BlancpainInstitute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, Switzerland
Pages 645-652 | Received 02 Nov 2021, Accepted 20 Jan 2022, Published online: 18 Mar 2022

References

  • Ballin NZ, Vogensen FK, Karlsson AH. 2009. Species determination – can we detect and quantify meat adulteration? Meat Sci. 83(2):165–174.
  • Brzezinski JL. 2005. Detection of crustacean DNA and species identification using a PCR-restriction fragment length polymorphism method. J Food Prot. 68(9):1866–1873.
  • Burns M, Foster L, Walker M. 2019. DNA techniques to verify food authenticity – applications in food fraud. United Kingdom: The Royal Society of Chemistry.
  • Cao J, Yu B, Ma L, Zheng Q, Zhao X, Xu J. 2011. Detection of shrimp-derived components in food by real-time fluorescent PCR. J Food Prot. 74(10):1776–1781.
  • Cavin C, Cottenet G, Blancpain C, Bessaire T, Frank N, Zbinden P. 2016. Food adulteration: from vulnerability assessment to new analytical solutions. Chimia. 70(5):329–333.
  • Cavin C, Cottenet G, Fuerer C, Tran L-A, Zbinden P. 2019. Food fraud vulnerabilities in the supply Chain: an industry perspective. In: Reference Module in Food Science. Elsevier B. V.
  • CODEX CAC/GL 74-2010. 2010. Guidelines on performance criteria and validation of methods for detection, identification and quantification of specific DNA sequences and specific proteins in foods [accessed 2021 June 07]. http://www.fao.org/fileadmin/user_upload/gmfp/resources/CXG_074e.pdf.
  • Cottenet G, Blancpain C. 2021. A real-time PCR method to assess the presence of vertebrate material in plant-based products. Food Control. 125:108001.
  • Cottenet G, Sonnard V, Blancpain C, Ho HZ, Leong HL, Chuah PF. 2016. A DNA macro-array to simultaneously identify 32 meat species in food samples. Food Control. 67:135–143.
  • Covich AP, Thorp JH, Rogers DC. 2010. Introduction to the subphylum Crustacea. In: Thorp JH and Covich AP, editor. Ecology and classification of North American Freshwater Invertebrates, 3rd ed. London: Academic Press; p. 695–723.
  • Eischeid AC, Kim B-H, Kasko SM. 2013. Two quantitative real-time PCR assays for the detection of Penaeid shrimp and blue crab, crustacean shellfish allergens. J Agric Food Chem. 61(24):5669–5674.
  • Eischeid AC, Stadig SR, Rallabhandi P. 2021. Comparison of real-time PCR and ELISA for the detection of crustacean shellfish allergens. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 38(4):563–572.
  • European Vegetarian Union. 2021. Criteria of the V-Label: regulations [accessed 2021 June 16]. https://www.v-label.eu/regulations_text.
  • FAO, Food and Agriculture Organization of the United Nations. 2020. The State of World Fisheries and Aquaculture 2020. Sustainability in action. Rome, Italy: FAO.
  • Fernandes TJR, Costa J, Oliveira MBPP, Mafra I. 2018. A new real-time PCR quantitative approach for the detection of shrimp crustaceans as potential allergens. J Food Compost Anal. 72:7–14.
  • Fernandes TJR, Silva CR, Costa J, Oliveira MBPP, Mafra I. 2017. High resolution melting analysis of a COI mini-barcode as a new approach for Penaeidae shrimp species discrimination. Food Control. 82:8–17.
  • Ghedira R, Papazova N, Vuylsteke M, Ruttink T, Taverniers I, De Loose M. 2009. Assessment of primer/template mismatch effects on real-time PCR amplification of target taxa for GMO quantification. J Agric Food Chem. 57(20):9370–9377.
  • Herrero B, Vieites JM, Espineira M. 2012. Fast real-time PCR for the detection of Crustacean allergen in foods. J Agric Food Chem. 60(8):1893–1897.
  • Hird H, Chisholm J, Sanchez A, Hernandez M, Goodier R, Schneede K, Boltz C, Popping B. 2006. Effect of heat and pressure processing on DNA fragmentation and implications for the detection of meat using a real-time polymerase chain reaction. Food Addit Contam. 23(7):645–650.
  • Mäde D, Rohmberger D. 2017. Development of sensitive and specific real-time PCR systems for the detection of crustaceans in food. Eur Food Res Technol. 243(12):2105–2113.
  • Monaci L, Visconti A. 2010. Immunochemical and DNA-based methods in food allergen analysis and quality assurance perspectives. Trends Food Sci Technol. 21(6):272–283.
  • NCBI Nucleotide database. 2013. National library of medicine (US). National Center for Biotechnology Information [accessed 2021 Feb 8]. https://www.ncbi.nlm.nih.gov/nuccore?itool=toolbar.
  • Santaclara FJ, Espineira M. 2017. Fast real-time PCR for the detection of crustacean allergens in foods. Methods Mol Biol. 1620:163–171.
  • Vegan Society. 2021. Statistics [accessed 2021 June 16]. https://www.vegansociety.com/news/media/statistics.
  • Woo CK, Bahna SL. 2011. Not all shellfish “allergy” is allergy! Clin Transl Allergy. 1(1):3.

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