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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Quantification of mineral composition of Brazilian bee pollen by near infrared spectroscopy and PLS regression

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Author(s):
Costa, Maria Cristina A. [1] ; Morgano, Marcelo A. [2] ; Ferreira, Marcia Miguel C. [1] ; Milani, Raquel F. [2]
Total Authors: 4
Affiliation:
[1] Univ Campinas Unicamp, Theoret & Appl Chemometr Lab LQTA, Inst Chem, POB 6154, BR-13084971 Campinas, SP - Brazil
[2] Food Technol Inst ITAL, Food Sci & Qual Ctr CCQA, Ave Brasil 2880, POB 139, BR-13070178 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Food Chemistry; v. 273, n. SI, p. 85-90, FEB 1 2019.
Web of Science Citations: 4
Abstract

Bee 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 (R-2) were above 0.87 and the mean percent calibration error varied from 5 to 10%. For external validation R-2 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. (AU)

FAPESP's process: 15/22951-2 - Theoretical Studies of bioactive substances Molecular modeling and QSAR (2D and 4D) studies of: A) 1,4 Naftoquinones derivatives with Antileucemic activity. B) Herbicides 3-benzil-5-arilidenofuran-2(5H)-one and Trifluoromethyl Arylamides
Grantee:Marcia Miguel Castro Ferreira
Support Opportunities: Regular Research Grants