| Full text | |
| Author(s): |
Malegori, Cristina
;
Nascimento Marques, Emanuel Jose
;
de Freitas, Sergio Tonetto
;
Pimentel, Maria Fernanda
;
Pasquini, Celio
;
Casiraghi, Ernestina
Total Authors: 6
|
| Document type: | Journal article |
| Source: | Talanta; v. 165, p. 112-116, APR 1 2017. |
| Web of Science Citations: | 33 |
| Abstract | |
The main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-MR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-MR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits. (AU) | |
| FAPESP's process: | 08/57808-1 - National Institute of Advanced Analytical Science and Technology |
| Grantee: | Celio Pasquini |
| Support Opportunities: | Research Projects - Thematic Grants |