Two supervised chemometric algorithms (discriminant analysis and artificial neutral networks) were used to elaborate the protein transfer reaction-mass spectrometry (PTR-MS) data of 63 strawberry samples from 2 cultivars harvested in 2002 from Italy. This technique allowed the discrimination of the cultivars using only 2 variables. Measurements were non-destructive on single fruits.
Characterization of strawberry genotypes by PTR-MS spectral fingerprinting / Mott, Daniela; Biasioli, F.; Gasperi, F.; Aprea, E; Marini, F.; Mark, T. D.. - In: ACTA HORTICULTURAE. - ISSN 0567-7572. - 2004:649(2004), pp. 65-68.
Characterization of strawberry genotypes by PTR-MS spectral fingerprinting
Mott, Daniela;Gasperi F.;Aprea E;
2004-01-01
Abstract
Two supervised chemometric algorithms (discriminant analysis and artificial neutral networks) were used to elaborate the protein transfer reaction-mass spectrometry (PTR-MS) data of 63 strawberry samples from 2 cultivars harvested in 2002 from Italy. This technique allowed the discrimination of the cultivars using only 2 variables. Measurements were non-destructive on single fruits.File in questo prodotto:
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CHARACTERIZATION OF STRAWBERRY GENOTYPES BY PTR-MS SPECTRAL FINGERPRINTING.pdf
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