Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics

Abstract The objective of this study was to evaluate the performance a handheld NIR spectrometer for non-destructive quality analysis apples and pears produced in Brazilian Semi-arid region. spectra were acquired with portable wavelength range 750–1065 nm reference analyses dry matter content (DMC) soluble solids (SSC) measured weekly during 10 weeks storage at 0.5 °C. Spectra pre-processed standard normal variate used develop DMC SSC models using partial least squares regression full cross-validation. validated data not included calibration. Satisfactory prediction results obtained (R² = 0.58) 0.55), 0.55) 0.65). All showed relative root mean square error lower than 8%. These findings indicate that is promising tool be rapid determination internal traits pears.