Detection of fish allergen by droplet digital PCR.
Autor: | Daga C; Food Safety Department, Institute for Experimental Veterinary Medicine of Sardinia, Sassari, Italy., Cau S; Food Safety Department, Institute for Experimental Veterinary Medicine of Sardinia, Sassari, Italy., Tilocca MG; Food Safety Department, Institute for Experimental Veterinary Medicine of Sardinia, Sassari, Italy., Soro B; Food Safety Department, Institute for Experimental Veterinary Medicine of Sardinia, Sassari, Italy., Marongiu A; Food Safety Department, Institute for Experimental Veterinary Medicine of Sardinia, Sassari, Italy., Vodret B; Food Safety Department, Institute for Experimental Veterinary Medicine of Sardinia, Sassari, Italy. |
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Jazyk: | angličtina |
Zdroj: | Italian journal of food safety [Ital J Food Saf] 2019 Feb 11; Vol. 7 (4), pp. 7264. Date of Electronic Publication: 2019 Feb 11 (Print Publication: 2018). |
DOI: | 10.4081/ijfs.2018.7264 |
Abstrakt: | Fish is one of fourteen allergens that must be highlighted on the label within the ingredients list. The European regulation is very restrictive to allergens with zero tolerance. Therefore, it is important to establish sensitive and specific methods for detecting fish allergen. Applicability to detect and quantify fish allergen by droplet digital polymerase chain reaction (ddPCR) has been evaluated in this work. Genomic DNA of three species belonging to the most common fish families were analyzed. PCR primers were designed to amplify a 166 bp region of the 18S rRNA gene. Comparative studies were performed to establish the optimal primer and probe concentrations. Annealing temperature was determined by using thermal gradient. The results have shown good applicability of the optimized 18S rRNA gene-method to detect and quantify small amounts of the target in samples analyzed. However, validation studies are needed in order to apply ddPCR technology for routine allergens analysis. Competing Interests: Conflict of interest: the authors declare no potential conflict of interest. |
Databáze: | MEDLINE |
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