Journal
KOREAN JOURNAL FOR FOOD SCIENCE OF ANIMAL RESOURCES
Volume 34, Issue 6, Pages 799-807Publisher
KOREAN SOC FOOD SCIENCE ANIMAL RESOURCES
DOI: 10.5851/kosfa.2014.34.6.799
Keywords
LAMP; meat identification; mitochondrial DNA; meat adulteration; food safety
Categories
Funding
- National Research Foundation of Korea Grant - Korean Government [NRF-2012R1A1A1012293]
- BK PLUS program for Creative Veterinary Science Research
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Meat source fraud and adulteration scandals have led to consumer demands for accurate meat identification methods. Nucleotide amplification assays have been proposed as an alternative method to protein-based assays for meat identification. In this study, we designed Loop-mediated isothermal amplification (LAMP) assays targeting species-specific mitochondrial DNA to identify and discriminate eight meat species; cattle, pig, horse, goat, sheep, chicken, duck, and turkey. The LAMP primer sets were designed and the target genes were discriminated according to their unique annealing temperature generated by annealing curve analysis. Their unique annealing temperatures were found to be 85.56 +/- 0.07 degrees C for cattle, 84.96 +/- 0.08 degrees C for pig, and 85.99 +/- 0.05 degrees C for horse in the BSE-LAMP set (Bos taurus, Sus scrofa domesticus and Equus caballus); 84.91 +/- 0.11 degrees C for goat and 83.90 +/- 0.11 degrees C for sheep in the CO-LAMP set (Capra hircus and Ovis aries); and 86.31 +/- 0.23 degrees C for chicken, 88.66 +/- 0.12 degrees C for duck, and 84.49 +/- 0.08 degrees C for turkey in the GAM-LAMP set (Gallus gallus, Anas platyrhynchos and Meleagris gallopavo). No cross-reactivity was observed in each set. The limits of detection (LODs) of the LAMP assays in raw and cooked meat were determined from 10 pg/mu L to 100 fg/mu L levels, and LODs in raw and cooked meat admixtures were determined from 0.01% to 0.0001% levels. The assays were performed within 30 min and showed greater sensitivity than that of the PCR assays. These novel LAMP assays provide a simple, rapid, accurate, and sensitive technology for discrimination of eight meat species.
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