5-Hydroxymethyl furfural determination in Italian honeys by a fast near infrared spectroscopy
| Autor: | Ludovica Quattrocchi, Federico Marini, Anna Maria Girelli, Azzurra Apriceno, Remo Bucci |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Correlation coefficient
010401 analytical chemistry Statistical model 04 agricultural and veterinary sciences Derivative Residual 040401 food science 01 natural sciences 0104 chemical sciences Analytical Chemistry Root mean square 0404 agricultural biotechnology Partial least squares regression Calibration 5‑hydroxymethylfurfural hplc italian honeys nir analytical chemistry spectroscopy Biological system Spectroscopy Smoothing Mathematics |
| Popis: | The determination of 5‑hydroxymethylfurfural (HMF) content in honey samples of different botanical origin by a NIR-chemometrics-based approach is reported. Spectral regions, statistical models, scatter and derivative correction together with smoothing pre-treatment were examined and selected on the basis of correlation coefficient and root mean square errors for both the calibration (R2c and RMSEC) and cross-validation (R2v and RMSECV). Prediction ability was tested on an external set of honey samples and the best results were achieved with a Partial Least Square regression approach coupled with a multiplicative signal correction of the scattering in the spectral region 4252–4848 cm1. The correlation coefficient in prediction (R2 = 0.98) as the residual predictive deviation (RPD = 3.3) suggest that the proposed model proves to be a powerful tool to fulfil quality goals in such a complex matrix as honey. |
| Databáze: | OpenAIRE |
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