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Two unsupervised pattern recognition techniques such as stepwise linear discriminant analysis (SLDA) and Soft Independent Modeling of Class Analogy (SIMCA) were used to classify tomato samples in categories corresponding to the cultivation areas. The same approach was used for triple concentrated pastes for discrimination between two different Italian production areas. Accordingly, HS-SPME-GC-MS with...
New phenolic compounds from Olea europaea, identified by high performance liquid chromatography/electrospray ionization tandem mass spectrometry, are suitable markers for differentiation between different varieties of olive trees cultivated in the same geographical area (Rende, Italy). Five cultivars (Carolea, Cassanese, Coratina, Nocellara and Leccino) were considered for the discrimination. Samples...
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