摘要

The potential of Near-Infrared (NIR) spectroscopy technique was assessed to predict moisture and soluble solids content of Mazafati date fruit. Spectral acquisitions were carried out during four main ripening stages (Kimri, Khalal, Rutab and Tamr) using a fast, non-scanning spectrometer in the interactance mode. Two different preprocessing methods; vector normalization and multiplicative scatter correction, and wavelength regions (900-1700 nm and 1332-1641 nm) were used to build partial least squares (PLS) regression models. The best predictive models showed coefficient of determination (R(2)) values of 0.980 and 0.966 for the moisture and the soluble solids content respectively; the relative residual predictive deviation (RPD) values were 7.1 and 4.8. NIR spectroscopy appeared to be a good method for the assessment of maturity of the analyzed date variety.

  • 出版日期2010-5