Comparison of NIRS approach for prediction of internal quality traits in three fruit species - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Food Chemistry Year : 2014

Comparison of NIRS approach for prediction of internal quality traits in three fruit species

Abstract

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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Dates and versions

hal-02636656 , version 1 (27-05-2020)

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Gabrieli Alvès de Oliveira, Sylvie Bureau, Catherine M.G.C. Renard, Adaucto Bellarmino Pereira-Netto, Fernanda de Castilhos. Comparison of NIRS approach for prediction of internal quality traits in three fruit species. Food Chemistry, 2014, 143, pp.223-230. ⟨10.1016/j.foodchem.2013.07.122⟩. ⟨hal-02636656⟩
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