Detection by real time PCR of walnut allergen coding sequences in processed foods
| dc.contributor.author | Linacero De La Fuente, M. Rosario | |
| dc.contributor.author | Ballesteros Redondo, María Isabel | |
| dc.contributor.author | Sanchiz Giraldo, África | |
| dc.contributor.author | Prieto, Nuria | |
| dc.contributor.author | Iniesto, Elisa | |
| dc.contributor.author | Martínez, Yolanda | |
| dc.contributor.author | Martín Pedrosa, Mercedes | |
| dc.contributor.author | Muzquiz, Mercedes | |
| dc.contributor.author | Cabanillas Martín, Beatriz | |
| dc.contributor.author | Rovira, Mercè | |
| dc.contributor.author | Burbano, Carmen | |
| dc.contributor.author | Cuadrado Vives, María Carmen | |
| dc.date.accessioned | 2023-06-18T05:48:00Z | |
| dc.date.available | 2023-06-18T05:48:00Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | A quantitative real-time PCR (RT-PCR) method, employing novel primer sets designed on Jug r 1, Jug r 3, and Jug r 4 allergen-coding sequences, was set up and validated. Its specificity, sensitivity, and applicability were evaluated. The DNA extraction method based on CTAB–phenol–chloroform was best for walnut. RT-PCR allowed a specific and accurate amplification of allergen sequence, and the limit of detection was 2.5 pg of walnut DNA. The method sensitivity and robustness were confirmed with spiked samples, and Jug r 3 primers detected up to 100 mg/kg of raw walnut (LOD 0.01%, LOQ 0.05%). Thermal treatment combined with pressure (autoclaving) reduced yield and amplification (integrity and quality) of walnut DNA. High hydrostatic pressure (HHP) did not produce any effect on the walnut DNA amplification. This RT-PCR method showed greater sensitivity and reliability in the detection of walnut traces in commercial foodstuffs compared with ELISA assays. | en |
| dc.description.department | Depto. de Genética, Fisiología y Microbiología | |
| dc.description.faculty | Fac. de Ciencias Biológicas | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | Ministerio de Economía, Comercio y Empresa (España) | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/42947 | |
| dc.identifier.citation | Linacero De La Fuente, R., Ballesterios Redondo, M. I., Sanchiz Giraldo, Á. et al. «Detection by Real Time PCR of Walnut Allergen Coding Sequences in Processed Foods». Food Chemistry, vol. 202, julio de 2016, pp. 334-40. DOI.org (Crossref), https://doi.org/10.1016/j.foodchem.2016.01.132. | |
| dc.identifier.doi | 10.1016/j.foodchem.2016.01.132 | |
| dc.identifier.issn | 0308-8146 | |
| dc.identifier.officialurl | https://doi.org/10.1016/j.foodchem.2016.01.132 | |
| dc.identifier.relatedurl | http://www.sciencedirect.com/science/article/pii/S0308814616301327 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/23364 | |
| dc.journal.title | Food Chemistry | |
| dc.language.iso | eng | |
| dc.page.final | 340 | |
| dc.page.initial | 334 | |
| dc.publisher | Elsevier | |
| dc.relation.projectID | AGL 2008-03453 and AGL 2012-39863 | |
| dc.rights.accessRights | open access | |
| dc.subject.cdu | 664 | |
| dc.subject.cdu | 579.67 | |
| dc.subject.keyword | Juglans regia | |
| dc.subject.keyword | Walnut allergen detection | |
| dc.subject.keyword | Real-time PCR | |
| dc.subject.keyword | Processed foods | |
| dc.subject.keyword | Thermal processing | |
| dc.subject.keyword | Pressure processing | |
| dc.subject.ucm | Biotecnología | |
| dc.subject.ucm | Genética | |
| dc.subject.unesco | 3399 Otras Especialidades Tecnológicas | |
| dc.subject.unesco | 2409 Genética | |
| dc.title | Detection by real time PCR of walnut allergen coding sequences in processed foods | en |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dc.type.hasVersion | AO | |
| dc.volume.number | 202 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 7a31c7ab-4871-4814-b1f4-279302d4250c | |
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| relation.isAuthorOfPublication | 42e92a87-1f3d-4a15-8413-a9f5a7d096ca | |
| relation.isAuthorOfPublication.latestForDiscovery | c84c5e8f-7011-463c-be08-5dccdc2dcd9e |


