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DOI 10.1002/jsfa.10718

Медицинская библиотека · Journal of the science of food and agriculture · 2020

Estimation of the number of Anisakis larvae in commercial fish using a descriptive model based on real-time PCR.

Godínez-González Carla, Roca-Geronès Xavier, Montoliu Isabel, Fisa Roser

Оценочное исследованиеСтатьяПеревод в очереди

Аннотация

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.

Для цитирования: Godínez-González Carla, Roca-Geronès Xavier, Montoliu Isabel, Fisa Roser. Estimation of the number of Anisakis larvae in commercial fish using a descriptive model based on real-time PCR.. Journal of the science of food and agriculture. 2020. DOI: 10.1002/jsfa.10718.

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