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http://hdl.handle.net/2445/171720
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DC Field | Value | Language |
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dc.contributor.author | Godínez González, Carla | - |
dc.contributor.author | Roca Geronès, Xavier | - |
dc.contributor.author | Montoliu Sanllehy, Isabel de | - |
dc.contributor.author | Fisa Saladrigas, Roser | - |
dc.date.accessioned | 2020-11-04T09:50:22Z | - |
dc.date.available | 2021-08-08T05:10:18Z | - |
dc.date.issued | 2020-08-08 | - |
dc.identifier.issn | 0022-5142 | - |
dc.identifier.uri | http://hdl.handle.net/2445/171720 | - |
dc.description.abstract | 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. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Wiley | - |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1002/jsfa.10718 | - |
dc.relation.ispartof | Journal of the Science of Food and Agriculture, 2020 | - |
dc.relation.uri | https://doi.org/10.1002/jsfa.10718 | - |
dc.rights | (c) Society of Chemical Industry, 2020 | - |
dc.source | Articles publicats en revistes (Biologia, Sanitat i Medi Ambient) | - |
dc.subject.classification | Anisakiosi | - |
dc.subject.classification | Parasitologia | - |
dc.subject.classification | Seguretat alimentària | - |
dc.subject.other | Anisakiasis | - |
dc.subject.other | Parasitology | - |
dc.subject.other | Food security | - |
dc.title | Estimation of the number of Anisakis larvae in commercial fish using a descriptive model based on real-time PCR | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 704136 | - |
dc.date.updated | 2020-11-04T09:50:22Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Biologia, Sanitat i Medi Ambient) |
Files in This Item:
File | Description | Size | Format | |
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704136.pdf | 555.33 kB | Adobe PDF | View/Open |
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