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Application of FTIR-ATR spectroscopy on the bee pollen characterization

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dc.contributor.authorAnjos, O.
dc.contributor.authorSantos, António J.
dc.contributor.authorDias, Teresa
dc.contributor.authorEstevinho, Letícia M.
dc.date.accessioned2017-04-26T23:30:59Z
dc.date.available2017-04-26T23:30:59Z
dc.date.issued2017
dc.description.abstractBee pollen contains almost all nutrients required by the human organism as well as diverse health-promoting substances. However, its composition and nutritional value greatly depend on the botanical origin. As such, it is importante to develop a rapid and non-expensive methodology that allows studying its characteristics, making labelling more objective and easier. The FTIR-ATR technique was used to predict some nutritional parameters in 126 bee pollen samples. FTIR-ATR spectrum obtained in the region between 4000 and 400 cm−1 with PLS Regression models were used to correlate spectral information with the data obtained using reference methods. In this first approach with pollen samples, good correlation models with appropriate accuracy were obtained for the evaluated parameters with r2 varying from 74.8 to 97% and residual prediction deviation between 2.0 and 5.8. These results suggest that FTIR-ATR may be a useful technique for assessing bee pollen’s composition.pt_PT
dc.description.abstractResumo El polen de abeja contiene casi todos los nutrientes requeridos por el organismo humano, así como diversas sustancias promotoras de la salud. Sin embargo, su composición y valor nutricional dependen en gran medida del origen botánico. Como tal, es importante desarrollar una metodología rápida y económica que permita estudiar sus características, haciendo el etiquetado más objetivo y más fácil. La técnica FTIR-ATR se utilizó para predecir algunos parámetros nutricionales en 126 muestras de polen de abeja. Se utilizó el espectro FTIR-ATR obtenido en la región entre 4000 y 400 cm-1 con modelos de regresión PLS para correlacionar información espectral con los datos obtenidos usando métodos de referencia. En este primer abordaje con muestras de polen, se obtuvieron buenos modelos de correlación con una precisión adecuada para los parámetros evaluados con r2 variando de 74,8% a 97% y una desviación de predicción residual entre 2,0 y 5,8. Estos resultados sugieren que el FTIR-ATR puede ser una técnica útil para evaluar la composición del polen de abeja.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationANJOS, O. ; SANTOS, A.J.A. ; Dias, T.; Estevinho, L.M. (2017) - Application of FTIR-ATR spectroscopy on the bee pollen characterization. Journal of Apicultural Research. ISSN: 0021-8839. 56:3. P. 210-218.pt_PT
dc.identifier.doi10.1080/00218839.2017.1289657pt_PT
dc.identifier.issn0021-8839
dc.identifier.urihttp://hdl.handle.net/10400.11/5539
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBee pollenpt_PT
dc.subjectChemical compositionpt_PT
dc.subjectFourier Transform Infrared Spectroscopypt_PT
dc.subjectAttenuated total reflectancept_PT
dc.titleApplication of FTIR-ATR spectroscopy on the bee pollen characterizationpt_PT
dc.title.alternativeAplicación de la espectroscopía FTIR-ATR a la caracterización del polen de abejapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage218pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage210pt_PT
oaire.citation.volume56pt_PT
person.familyNameAnjos
person.familyNameMiranda Fernandes Estevinho
person.givenNameOfélia
person.givenNameMaria Leticia
person.identifier.ciencia-idC21D-D8C7-3037
person.identifier.ciencia-idBA14-09D6-A406
person.identifier.orcid0000-0003-0267-3252
person.identifier.orcid0000-0002-9249-1948
person.identifier.ridG-2808-2012
person.identifier.scopus-author-id23395659700
person.identifier.scopus-author-id6506577664
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationdf9191ae-0bbb-4bb8-bbdc-0f79c7365876
relation.isAuthorOfPublication833b19a5-a9f2-485d-a48d-4ead7bdd3f0d
relation.isAuthorOfPublication.latestForDiscoverydf9191ae-0bbb-4bb8-bbdc-0f79c7365876

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