USING CHEMOMETRIC DATA TO DISCRIMINATE CO COA MASSES - ANALYSIS OF METAL CONTENTS APPLIED TO THE DETERMINATION OF THEIR GEOGRAPHICAL ORIGINAND PROCESS EFFECT
C. Hernandez et al., USING CHEMOMETRIC DATA TO DISCRIMINATE CO COA MASSES - ANALYSIS OF METAL CONTENTS APPLIED TO THE DETERMINATION OF THEIR GEOGRAPHICAL ORIGINAND PROCESS EFFECT, Analusis, 22(1), 1994, pp. 15-22
Using chemometric data to discriminate cocoa masses: analysis of metal
contents applied to the determination of their geographical origin an
d process effect. The copper zinc, iron, magnesium and manganese conte
nts irt cocoa masses were determined by atomic absorption spectrometry
after wet digestion. These data were evaluated by principal component
analysis in order to build a geographical model. Nevertheless, the co
ntamination of cocoa nasses originating from the grinding tools, preva
ils over origin variability of concentrations of metals. A part of the
discrimination of cocoa masses was then based on copper and zinc cont
amination.