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dc.contributor.authorCosta, Maria Cristina A.; et. al.-
dc.contributor.otherPT_Br
dc.date.accessioned-
dc.date.accessioned2021-12-09T19:01:12Z-
dc.date.availablePT_Br
dc.date.available2021-12-09T19:01:12Z-
dc.date.copyright-
dc.date.issued2019-
dc.identifierPT_Br
dc.identifier.citationFood Chemistry, v. 273, p. 85-90, 2019. https://doi.org/10.1016/j.foodchem.2018.02.017pt_BR
dc.identifier.issn0308-8146-
dc.identifier.urihttp://repositorio.ital.sp.gov.br/jspui/handle/123456789/209-
dc.description.abstractBee pollen consumption has increased in the last years, mainly due to its nutritional value and therapeutic applications. The quantification of mineral constituents is of great importance in order to evaluate both, the toxicity and the beneficial effect of essential elements. The purpose of this work was to quantify the essential elements, Ca, Mg, Zn, P and K, by diffuse reflectance spectra in the near infrared region (NIR) combined with partial least squares regression (PLS), which is a clean and fast method. Reference method used was ICP OES. The determination coefficients for calibration models (R2) were above 0.87 and the mean percent calibration error varied from 5 to 10%. For external validation R2 values were higher than 0.76. The results indicated that NIR spectroscopy can be useful for an approximate quantification of these minerals in bee pollen samples and can be used as a faster alternative to the standard methodologies.pt_BR
dc.description.sponsorshipCNPq / FAPESPpt_BR
dc.formatPT_Br
dc.languagePT_Br
dc.language.isoenpt_BR
dc.publisherElsevier Ltd.pt_BR
dc.rightsPT_Br
dc.sourcePT_Br
dc.subjectChemometricspt_BR
dc.subjectDiffuse reflectancept_BR
dc.subjectMineralspt_BR
dc.subjectPLSpt_BR
dc.subjectNIR spectroscopypt_BR
dc.titleQuantification of mineral composition of Brazilian bee pollen by near infrared spectroscopy and PLS regressionpt_BR
dc.typeArticlept_BR
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dc.subject.cnpqPT_Br
dc.contributor.CRUESPPT_Br
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