Abstract
Meat authentication and meat adulteration have become a growing global concern leading to consumers’ demand for accurate meat identification methods. Since existing methods for meat identification are cumbersome and require specialized equipment and/or training, we developed a specific colorimetric detection method that can rapidly identify horse meat as few as 0.1% contamination in xenogeneic meat sources within 1 h with no false-positive signals observed. Specificity analysis revealed no cross-reactivity with 14 other animal species. Therefore, a rapid on-site survey based on our method can be set up to identify undeclared meat in the food supply chain and contributes to an approach on food analysis by meeting the demands for quick and easy-to-perform analytical methods.
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Abbreviations
- FSAI:
-
Food Safety Authority of Ireland
- PBZ:
-
phenylbutazone
- ELISA:
-
enzyme-linked immunosorbent
- mtDNA:
-
mitochondrial DNA
- real-time PCR:
-
real-time polymerase chain reaction
- PCR-RFLP:
-
PCR-based restriction fragment length polymorphism
- LAMP:
-
loop-mediated isothermal amplification
- COI gene:
-
cytochrome c oxidase subunit I gene
- HNB:
-
hydroxy naphthol blue
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Funding
This work was supported by the National Natural Science Foundation of China [grant numbers 21572222, 21708037, 21877108], the Innovative Team of Sichuan Province [grant number 2017TD0021], Chengdu Municipal Bureau of Science and Technology [grant number 2015-HM02-00099-SF, 2016-HM01-00371-SF], and China Postdoctoral Science Foundation [grant number 2017M612998].
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Jiayu Wang declares that she has no conflict of interest. Yuping Wan declares that she has no conflict of interest. Gangyi Chen declares that he has no conflict of interest. Hengxing Liang declares that he has no conflict of interest. Sheng Ding declares that he has no conflict of interest. Ke Shang declares that he has no conflict of interest. Mei Li declares that she has no conflict of interest. Juan Dong declares that she has no conflict of interest. Feng Du declares that she has no conflict of interest. Xin Cui declares that she has no conflict of interest. Zhuo Tang declares that he has no conflict of interest.
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Wang, J., Wan, Y., Chen, G. et al. Colorimetric Detection of Horse Meat Based on Loop-Mediated Isothermal Amplification (LAMP). Food Anal. Methods 12, 2535–2541 (2019). https://doi.org/10.1007/s12161-019-01590-9
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DOI: https://doi.org/10.1007/s12161-019-01590-9