Publicação
State-of-the-art of analytical techniques to determine food fraud in olive oils
| dc.contributor.author | González Pereira, Antía | |
| dc.contributor.author | Otero, Paz | |
| dc.contributor.author | Fraga-Corral, Maria | |
| dc.contributor.author | García-Oliveira, Paula | |
| dc.contributor.author | Carpena Rodríguez, María | |
| dc.contributor.author | Prieto Lage, Miguel A. | |
| dc.contributor.author | Simal-Gandara, Jesus | |
| dc.date.accessioned | 2018-02-19T10:00:00Z | |
| dc.date.accessioned | 2021-12-02T16:31:37Z | |
| dc.date.available | 2018-01-19T10:00:00Z | |
| dc.date.available | 2021-12-02T16:31:37Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The benefits of the food industry compared to other sectors are much lower, which is why producers are tempted to commit fraud. Although it is a bad practice committed with a wide variety of foods, it is worth noting the case of olive oil because it is a product of great value and with a high percentage of fraud. It is for all these reasons that the authenticity of olive oil has become a major problem for producers, consumers, and legislators. To avoid such fraud, it is necessary to develop analytical techniques to detect them. In this review, we performed a complete analysis about the available instrumentation used in olive fraud which comprised spectroscopic and spectrometric methodology and analyte separation techniques such as liquid chromatography and gas chroma-tography. Additionally, other methodology including protein-based biomolecular techniques and analytical approaches like metabolomic, hhyperspectral imaging and chemometrics are discussed. | en_EN |
| dc.description.sponsorship | The research leading to these results was supported by MICINN with the Ramón&Cajal grant for M. A. Prieto (RYC-2017-22891); by Xunta de Galicia and University of Vigo supporting the post-doctoral grant of M. Fraga-Corral (ED481B-2019/096) and the pre-doctoral grants for A. G. Pereira (ED481A-2019/0228) and P. García-Oliveira (ED481A-2019/295) and by University of Vigo supporting the predoctoral grant for M. Carpena (Uvigo-00VI 131H 6410211). | |
| dc.description.version | info:eu-repo/semantics/publishedVersion | en_EN |
| dc.identifier.citation | Pereira, A. G.; Otero, P.; Fraga-Corral, M.; Garcia-Oliveira, P.; Carpena, M.; Prieto, M. A.; Simal-Gandara, J. (2021). State-of-the-art of analytical techniques to determine food fraud in olive oils. Foods. ISSN 2304-8158. 10:3, p. 1-24 | en_EN |
| dc.identifier.doi | 10.3390/foods10030484 | en_EN |
| dc.identifier.issn | 2304-8158 | |
| dc.identifier.uri | http://hdl.handle.net/10198/24426 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | en_EN |
| dc.subject | Chromatographic methods | en_EN |
| dc.subject | Food fraud | en_EN |
| dc.subject | Optimum analytical methodology | en_EN |
| dc.subject | Recent analytical approaches | en_EN |
| dc.subject | Techniques of spectroscopy and spec-trometry | en_EN |
| dc.title | State-of-the-art of analytical techniques to determine food fraud in olive oils | en_EN |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| person.familyName | González Pereira | |
| person.familyName | Fraga-Corral | |
| person.familyName | García-Oliveira | |
| person.familyName | Prieto | |
| person.givenName | Antía | |
| person.givenName | Maria | |
| person.givenName | Paula | |
| person.givenName | Miguel A. | |
| person.identifier | 1054547 | |
| person.identifier | 107688 | |
| person.identifier.ciencia-id | 1616-98AD-4546 | |
| person.identifier.ciencia-id | 781F-C144-9DBD | |
| person.identifier.ciencia-id | 221E-1E00-AB74 | |
| person.identifier.orcid | 0000-0002-4095-7857 | |
| person.identifier.orcid | 0000-0002-5663-9239 | |
| person.identifier.orcid | 0000-0003-4058-3709 | |
| person.identifier.orcid | 0000-0002-3513-0054 | |
| person.identifier.rid | G-7335-2017 | |
| person.identifier.rid | G-4516-2011 | |
| person.identifier.scopus-author-id | 57214457428 | |
| person.identifier.scopus-author-id | 56346469200 | |
| person.identifier.scopus-author-id | 35937495700 | |
| rcaap.rights | openAccess | en_EN |
| rcaap.type | article | en_EN |
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