title: Vis-NIR measurement of soluble solids in cherry and apricot by PLS regression and wavelength selection.
abstract: 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.
authors.affiliation: Istituto di Tecnologie Agroalimentari, Facoltà di Agraria, Università degli Studi della Tuscia, Via S. C. De Lellis snc, I-01100, Viterbo, Italy.
authors.forename: P
authors.initials: P
authors.lastname: Carlini
authors.forename: R
authors.initials: R
authors.lastname: Massantini
authors.forename: F
authors.initials: F
authors.lastname: Mencarelli
mesh_terms: D002138:Calibration; D005638:Fruit / Q000737:chemistry*; D016018:Least-Squares Analysis; D012044:Regression Analysis; D015203:Reproducibility of Results; D013053:Spectrophotometry / Q000379:methods