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Multivariate calibration: Identification of phenolic compounds in PROPOLIS using FT‐NIR
Author(s) -
Matei Letycia Alyne,
Lafay Cintia Boeira Batista,
Calegari Matheus Augusto,
Oldoni Tatiane Luiza Cadorin
Publication year - 2020
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.3296
Subject(s) - propolis , calibration , multivariate statistics , multivariate analysis , chemometrics , derivative (finance) , chromatography , chemistry , mathematics , food science , statistics , financial economics , economics
The chemical composition of propolis is complex and varies according to location, seasonality, and vegetation where the hives are located. Raw and macerated propolis produced in different regions of Brazil were assessed and produced iPLS models from FTNIR combined to multivariate calibration to determine total phenolic content (TPC). The spectra of raw propolis were obtained analyzing samples directly, without treatment or processing, while macerated propolis was submitted to the milling process using liquid nitrogen. Concerning the results, the TPC ranged from 3.61 to 90.4 mg GAE g ‐1 , which indicates a significant difference among samples. It was possible to conclude that macerated propolis presented the best multivariate calibration obtained from the second derivative and SNV pre‐processing. The error values RMSECV and RMSEP were 3.79 and 6.17 mg GAE g ‐1 respectively, while the determination coefficients in the calibration, cross‐validation, and external validation were 0.97, 0.87, and 0.82, respectively.