Comparison of NIRS approach for prediction of internal quality traits in three fruit species
2014
Alvès De Oliveira , Gabrieli(auteur de correspondance) (INRA , Avignon (France). UMR 0408 Sécurité et Qualité des Produits d'Origine Végétale) | Bureau , Sylvie (INRA , Avignon (France). UMR 0408 Sécurité et Qualité des Produits d'Origine Végétale) | Renard , Catherine (INRA , Avignon (France). UMR 0408 Sécurité et Qualité des Produits d'Origine Végétale) | Pereira-Netto , Adaucto Bellarmino (Federal University of Parana, Curitiba(Brésil). Graduate program in food engineering) | de Castilhos , Fernanda (Federal University of Parana, Curitiba(Brésil). Graduate program in food engineering)
NIR Spectroscopy ability was investigated to assess the fruit structure effect (passion fruit, tomato and apricot) on prediction performance of soluble solids content (SSC) and titratable acidity (TA). Relationships between spectral wavelengths and SSC and TA were evaluated through the application of chemometric techniques based on partial least squares (PLS). Good prediction performance was obtained for apricot with correlation coefficients of 0.93 and 0.95 for SSC and TA and root mean square errors of prediction (RMSEP%) of 3.3% and 14.2%, respectively. For the passion fruit and tomato, the prediction models were not satisfactorily accurate due to the high RMSEP. Results showed that NIR technology can be used to evaluate apricot internal quality, however, it was not appropriate to evaluate internal quality in fruits with thick skin, (passion fruit), and/or heterogeneous internal structure (tomato).
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