Comparison of NIRS approach for prediction of internal quality traits in three fruit species.
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).
Graduate Program in Food Engineering, Paraná Federal University, 81531-980 Curitiba, Brazil; UMR408 Sécurité et Qualité des Produits d'Origine Végétale, INRA, Université d'Avignon, Site Agroparc, CS 40509, F-84000 Avignon, France. Electronic address: gabrieli@ufpr.br.
Gabrieli Alves
GA
de Oliveira
Sylvie
S
Bureau
Catherine Marie-Geneviève Claire
CM
Renard
Adaucto Bellarmino
AB
Pereira-Netto
Fernanda
F
de Castilhos
D005638:Fruit / Q000737:chemistry*; D018551:Solanum lycopersicum / Q000737:chemistry*; D029598:Passiflora / Q000737:chemistry*; D027861:Prunus / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
Apricot; Chemometrics; Near infrared; Passion fruit; Soluble solids content; Tomato; Total acidity