Quality evaluation of intact açaí and juçara fruit by means of near infrared spectroscopy

摘要: ABSTRACT The objective of this study was to report the robustness partial least squares regression (PLSR) models developed using FT-NIR reflectance spectra obtained from intact acai and jucara fruit. Mature fruit were collected over two years (6 populations jucara, totalling 505 samples). Diffuse acquired (64 scans spectral resolution 8 cm −1 ) ∼25 fruits per batch on a 90 mm diameter glass dish in single layer. Spectra subject several pre-processing procedures variable selection methods develop PLSR models. For total anthocyanin content (TAC) acai, model wavelength range 1606–1793 nm, standard normal variate (SNV) second derivative Savitzky–Golay (SNV +  d 2 A achieved bias corrected root mean square error (SEP) 3.6 g kg R p 0.7 predicting an external independent set, which better than for (SEP 3.7 g kg , 0.5), both species combined 5.7 g kg 0.5). soluble solids (SSC) SNV +  window 1640–1738 nm bias-corrected SEP 2.9% 0.8, similar 1.1%, 0.9) 2.3%, 0.8). can be used sort based SSC TAC into grades (low high contents).