Estimation of the number of Anisakis larvae in commercial fish using a descriptive model based on real-time PCR.
J Sci Food Agric
; 101(3): 1085-1090, 2021 Feb.
Article
in En
| MEDLINE
| ID: mdl-32770689
BACKGROUND: Seafood parasitation by Anisakis (Anisakidae) larvae has been reported in most of the oceans and seas worldwide. The presence of these nematodes in commonly consumed fish represents a potential hazard for consumers as they can provoke gastrointestinal symptoms and allergic reactions. In the present work, the capacity of a SYBR Green qPCR protocol to quantify Anisakis larvae in commercial fish was evaluated using experimentally spiked samples with different numbers (0-50) of A. simplex third-stage larvae (L3). To verify the agreement of the obtained results, 25 naturally infected fish specimens of Atlantic blue whiting underwent a parallel visual inspection. RESULTS: The logarithmic behavior of the Cq data obtained from the experimentally spiked samples allowed the development of a descriptive mathematical model that correlates the Cq value with the number of Anisakis larvae (R2 = 0.9908, CV = 2.37%). In the commercial blue whiting specimens there was a high correlation between the results of the molecular technique and the visual inspection (R2 = 0.9912); the Bland-Altman analysis showed that 94% of the differences were within the limits of agreement (-4.98 and 6.68), indicating the reliability of the descriptive mathematical model based on the SYBR Green qPCR technique. CONCLUSION: The descriptive function presented based on the SYBR Green qPCR assay is promising as a sensitive and accurate tool for measuring the Anisakis larval load in commercial fish, with a potential application not only in the food industry but also in prevention programs for public health. © 2020 Society of Chemical Industry.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Anisakis
/
Anisakiasis
/
Real-Time Polymerase Chain Reaction
/
Fish Diseases
/
Fishes
Type of study:
Evaluation_studies
Limits:
Animals
Language:
En
Journal:
J Sci Food Agric
Year:
2021
Type:
Article
Affiliation country:
Spain