Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/171720
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dc.contributor.authorGodínez González, Carla-
dc.contributor.authorRoca Geronès, Xavier-
dc.contributor.authorMontoliu Sanllehy, Isabel de-
dc.contributor.authorFisa Saladrigas, Roser-
dc.date.accessioned2020-11-04T09:50:22Z-
dc.date.available2021-08-08T05:10:18Z-
dc.date.issued2020-08-08-
dc.identifier.issn0022-5142-
dc.identifier.urihttp://hdl.handle.net/2445/171720-
dc.description.abstractBACKGROUND: 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.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherWiley-
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1002/jsfa.10718-
dc.relation.ispartofJournal of the Science of Food and Agriculture, 2020-
dc.relation.urihttps://doi.org/10.1002/jsfa.10718-
dc.rights(c) Society of Chemical Industry, 2020-
dc.sourceArticles publicats en revistes (Biologia, Sanitat i Medi Ambient)-
dc.subject.classificationAnisakiosi-
dc.subject.classificationParasitologia-
dc.subject.classificationSeguretat alimentària-
dc.subject.otherAnisakiasis-
dc.subject.otherParasitology-
dc.subject.otherFood security-
dc.titleEstimation of the number of Anisakis larvae in commercial fish using a descriptive model based on real-time PCR-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/acceptedVersion-
dc.identifier.idgrec704136-
dc.date.updated2020-11-04T09:50:22Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Biologia, Sanitat i Medi Ambient)

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