One possible reason leading to the difficulty for predicting fruit acidity could be due to the low titratable acidity, which ranges from 3.5 to 7.4 mmol H+·100 g FW−1 in tomato (Table 1). Similarly to what was found for SSC, higher correlation
learn more coefficients were found for apricot, when compared to passion fruits and tomatoes. The best model for TA in apricot used 6 LVs and MSC pre-processing, followed by smoothing. This model yielded a cross validation error of 2.00 mmol H+·100 g FW−1. When the model was used to predict the 24 internal validation samples, a high correlation coefficient (R2 = 0.95) was obtained, along with a prediction error of 14.21%. There are several potential limitations in NIR assessment that make it difficult to predict quality in some fruits. These limitations can be intrinsic to the spectral range used: NIR is not a high sensitivity method. NIR spectra of fruit and vegetables are dominated by water absorption bands and the typical low acid concentration (compared to sugar) found in fruit cannot be well measured (Nicolai et al., 2007). Other limitations are linked to the physical nature of the fruits and the properties of NIR radiation, notably the depth of penetration of NIR radiation into fruit tissue (Lammertyn selleck screening library et al., 2000 and Nicolai et al., 2007). Some limitations can be linked to
the fruit themselves: variation in quality traits (Long & Walsh, 2006), and fruit sampling location (Guthrie et al., 2006 and Long and Walsh, 2006). Finally, other limitations are related to experimental design, such as the robustness of the calibration models (Golic & Walsh, 2006) depending on properly chosen sample sets, with a maximum variability and limited internal correlations. In this work, we tested the effectiveness of the use of NIR technology for the prediction of SSC and TA in fruits presenting anatomical features expected to interfere with the penetration of NIR radiation into fruit tissue. PFKL The three species used in this trial have distinct physical (Fig. 4) and biochemical (Table 1) characteristics. Regarding chemical composition, passion fruit pulp is characterized by high acidity. Tomato has usually low SSC and acidity, and may contain
over 95% water. In apricot, SSC is higher than the acidity. A broad range of values was recorded in this work for SSC and TA in all of the three fruits. This finding is likely due to the fact that sampling was, as experimentally designed, carried out during different ripening stages, and it is well known that during ripening, sugars accumulate and acidity decreases, the later, as a result of the consumption of the predominant acids during fruit respiration. Values of the SSC and TA in this work were within the range found in literature for passion fruit (Jiménez et al., 2011), tomato (Scibisz et al., 2011) and apricot (Bureau et al., 2009 and Camps and Christen, 2009). The passion fruit is a fleshy, berry type fruit, with a thin pericarp (peel) that can be lignified.