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http://hdl.handle.net/10662/22109
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DC Field | Value | Language |
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dc.contributor.author | Sánchez, Ramiro | - |
dc.contributor.author | Martín Tornero, Elísabet | - |
dc.contributor.author | Lozano, Jesús | - |
dc.contributor.author | Arroyo Muñoz, Patricia | - |
dc.contributor.author | Meléndez, Félix | - |
dc.contributor.author | Martín Vertedor, Daniel | - |
dc.date.accessioned | 2024-08-27T11:45:22Z | - |
dc.date.available | 2024-08-27T11:45:22Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://hdl.handle.net/10662/22109 | - |
dc.description.abstract | A sensory panel and an electronic nose (E-nose) were used to discriminate olives stuffed with flavored hydrocolloids submitted to different thermal treatments. The aroma perceived by the tasting panel before the sterilization was considered to be highly intense. However, the application of a single sterilization caused a 35–42% decrease in aroma intensity perceived by tasters. The aroma intensity also decreased when the number of sterilizations increased, but the tasting panel did not detect differences between them. The sterilization led to an increase in the ‘cooking effect’ that was less detected by panelists when the olives were flavored. The E-nose showed that the olives subjected to sterilization presented a different aromatic profile. Thus, the E-nose was able to discriminate the three treatments applied with greater precision than the tasting panel. E-nose technology offers a fast, inexpensive and non-destructive method for discriminating between olives stuffed with flavored hydrocolloids submitted to sterilization. | es_ES |
dc.format.extent | 6 p. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Nariz electrónica | es_ES |
dc.subject | Aceitunas de mesa | es_ES |
dc.subject | Tratamiento esterilización | es_ES |
dc.subject | E-nose | es_ES |
dc.subject | Sterilization treatment | es_ES |
dc.subject | Flavor | es_ES |
dc.subject | Cooking defect | es_ES |
dc.subject | Table olives | es_ES |
dc.title | Evaluation of the olfactory pattern of black olives stuffed with flavored hydrocolloids | es_ES |
dc.type | article | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | es_ES |
dc.subject.unesco | 3309 Tecnología de Los Alimentos | es_ES |
dc.subject.unesco | 31 Ciencias Agrarias | es_ES |
dc.subject.unesco | 3309.25 Esterilización de Alimentos | es_ES |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | amiro Sánchez, Elísabet Martín-Tornero, Jesús Lozano, Patricia Arroyo, Félix Meléndez, Daniel Martín-Vertedor, Evaluation of the olfactory pattern of black olives stuffed with flavored hydrocolloids, LWT, Volume 163, 2022, 113556, ISSN 0023-6438, https://doi.org/10.1016/j.lwt.2022.113556 | es_ES |
dc.type.version | acceptedVersion | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Instituto Universitario de Investigación de Recursos Agrarios (INURA) | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Ingeniería del Medio Agronómico y Forestal | es_ES |
dc.contributor.affiliation | CICYTEX. Instituto Tecnológico Agroalimentario de Extremadura (INTAEX) | - |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0023643822004911?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.lwt.2022.113556 | - |
dc.identifier.publicationtitle | LWT - Food Science and Technology | es_ES |
dc.identifier.publicationfirstpage | 113556-1 | es_ES |
dc.identifier.publicationlastpage | 113556-6 | es_ES |
dc.identifier.publicationvolume | 163 | es_ES |
dc.identifier.e-issn | 0023-6438 | - |
dc.identifier.orcid | 0000-0002-8908-1104 | es_ES |
Appears in Collections: | DQUAN - Artículos INURA - Artículos |
Files in This Item:
File | Description | Size | Format | |
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j_lwt_2022_113556.pdf | 1,47 MB | Adobe PDF | View/Open |
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