Non-Destructive Quality Evaluation of Tropical Fruit (Mango and Mangosteen) Purée Using Near-Infrared Spectroscopy Combined with Partial Least Squares Regression

Mango and mangosteen are commercially important tropical fruits with a short shelf life. Fruit processing is one of the alternatives to extend life these fruits. Purée processed products fresh fruit. In this research, quality mango purée was analyzed. Titratable acidity (TA) total soluble solids (TSS) were predicted using non-destructive near-infrared (NIR) spectroscopy. A partial least squares regression (PLSR) model developed based on NIR spectra wavelength ranging from 800 2500 nm. The PLSR returned coefficient determination (r2) ratio prediction deviation (RPD) 0.955 4.7 for TSS, 0.784 2.2 TA, in purée. Similarly, best selected TSS through PLSR, an r2, root mean square error cross-validation (RMSECV), RPD 0.799, 0.3% malic acid, 2.2, respectively. results show possible application spectroscopy product line, although larger number samples wide variation future studies needed as input update model, order obtain more robust model.