Quantification of animal species using quantitative real-time PCR (qPCR) to verify fraud in meat products

Authors

DOI:

https://doi.org/10.33448/rsd-v12i1.38972

Keywords:

Real-time qPCR; Validation; Beef and chicken meat; Myostatin.

Abstract

Food labeling is fundamental to avoid eating a specific kind of meat for religious and cultural reasons, but mainly to avoid fraud with the purpose of obtaining financial advantages. The real-time qPCR method is commonly used to quantify DNA in a given sample by relative quantification (concentration of specific target DNA over concentration of endogenous DNA). In studies that use qPCR to quantify contaminating species, normalization is performed using a single-copy reference gene, such as myostatin, present in most mammals and birds. This study aimed to standardize the real-time qPCR technique to obtain relative quantitative results in rigged beef. For method standardization, the limit of detection (LD) resulted in a Cq fluorescence signal of 36.80 cycles in at least 9 out of 10 repetitions (90%) at a concentration of 0.008% in horse and Cq of 36.60 cycles in at least 7 of 10 repetitions (70%) at a concentration of 0.0005% in chicken. The lowest concentration at which the relative standard deviation (RSD) was ≤25% was between 0.125% and 0.031% for both horse and chicken. Even using standard quantitation curves containing 50% meat blends or 100% pure target meat, curve slope, amplification efficiency, and linear correlation were within recommended acceptance criteria. The test is sensitive and an alternative in the routine inspection of products for both human and animal consumption.

Author Biographies

Hans Fröder, Universidade Estadual do Rio Grande do Sul

Graduated in Full Degree in Sciences with specialization in Biology (2000) from the University of Vale do Taquari (UNIVATES), Specialization in Biotechnology and Bioprocesses (2018) from the State University of Maringá, Master's (2005) and Doctorate (2008) in Science of Food - Bromatology area at the University of São Paulo, with a Sandwich Doctorate at the Freie Universität Berlin / Bundesinstitut für Risikobewertung (BfR), and Post-Doctoral internship at the Post-Graduate Program in Biotechnology (2022) at the University of Caxias do Sul ( UCS). He has experience in the area of food microbiology and molecular biology, working mainly on the following topics: official and alternative methods for the detection and quantification of pathogens in food, identification of animal species and genetically modified organisms by real-time qPCR, design of primers /probes, in addition to teaching at undergraduate and graduate levels

Eléia Righi, Universidade Estadual do Rio Grande do Sul

Graduated from UFSM-RS, in the Bachelor of Geography course. Bachelor in Business Administration from UNOPAR. Master in Geography by UFRGS-RS. PhD in Geography from UFRGS-RS. She has experience in the field of Geosciences, with an emphasis on Physical and Human Geography, working mainly on the following topics: Geodisasters, Mathematical Modeling, Water Resources, Cartography, Geoprocessing, Remote Sensing, Regional / Local Sustainable Development, Tourism and Environmental Management. I am currently coordinating the courses: Postgraduate Lato Sensu in: Innovation and Technology for Food and Beverage; and Lato Sensu Post-Graduation in: Agronomy, Environment and Sustainability

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Published

01/01/2023

How to Cite

FRÖDER, H.; RIGHI, E. Quantification of animal species using quantitative real-time PCR (qPCR) to verify fraud in meat products. Research, Society and Development, [S. l.], v. 12, n. 1, p. e1512138972, 2023. DOI: 10.33448/rsd-v12i1.38972. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/38972. Acesso em: 22 dec. 2024.

Issue

Section

Agrarian and Biological Sciences