Vis-NIR measurement of soluble solids in cherry and apricot by PLS regression and wavelength selection
2000
Carlini, P. | Massantini, R. | Mencarelli, F.
Experimental results are presented on the use of partial least squares (PLS) regression and wavelength selection for the definition of models for visible-near-infrared (Vis-NIR) evaluation of soluble solids content in fruits. First, the relatively easy to deal with-but still not studied in the literature-case of cherry fruit is presented in detail. By using a very simple selection scheme, involving the subsampling of the spectral interval from 600 to 1100 nm with a fixed step, accurate models were found, consistently showing very favorable combinations of SEC and SEP values, in the 0.50 degrees Brix range for a total variation of about 15 degrees Brix. Apricot fruit represented a more difficult species, and wavelengths to be included in the calibration had to be individually selected for the best results. Nevertheless, parsimonious models could be found, including a total of 38 spectral lines and leading to SEP values at the 0.75 degrees Brix level.
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