It is important to note that for commercial purposes
a major determinant for internal quality in fruit is their sweetness, since this is the major parameter affecting consumer acceptance or rejection and thus influencing the market value of the fruit (Li et al., 2006). So, even the correlation coefficients for the passion fruit and tomatoes were below 0.63 and 0.52, the prediction error was lower than 10% (9.8% for passion fruit and 8.85% for tomato). This finding demonstrate that NIR technology can be used for sorting (between low, medium and high levels of sweetness) fruits on arrival to the industry. In addition, since NIR is a non destructive technology, it would allow increased sampling for Carfilzomib each batch, ensuring a more precise and accurate guarantee of specific quality. The applicability of NIR spectroscopic technique
to determine the soluble solids content and titratable acidity was tested in three fruits with different check details characteristics (passion fruit, tomato and apricot). The calibration and prediction performance of PLS models developed with different spectral regions and pretreatment methods was also investigated. The analysis of the best models shows that the physical features of the fruit directly affect the results. The low correlation values for passion fruit were attributed to the low penetration of infrared radiation due the thick skin of the fruit. For tomatoes, internal characteristics (heterogeneity) and high water contents led to weak correlations. On the other hand, good and robust prediction results were observed for apricot, which is a fruit with thin of skin and homogeneous pulp. From the results obtained in this work, it can be pointed out that NIR spectroscopy can be used to predict the soluble solids content and titratable acidity with excellent accuracy in intact homogeneous fruits, as apricot. However, a poor performance was obtained to intact passion fruit and tomato, where NIR was not adequate to establish quality traits due to the physical structure of these species.
Therefore, it is worthwhile to note that there are specific limitations to each fruit type, as observed for passion fruit and tomato, that should be considered in NIR spectroscopy applications. This study was supported by UMR-A408 of INRA and by CAPES-Brazil. “
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