[Chemical and sensory characterization of tea (Thea sinensis) consumed in Chile].
By means of descriptive analysis four varieties of tea (Thea sinensis) were assesed: Argentinean OP (orange pekoe) tea (black), Brazilian OP tea (black), Ceylan OP tea (black) and Darjeeling OP tea (green). The appearance of dry tea leaves were qualitatively characterized comparing with dry leaves standard. The attributes: colour, form, regularity of the leaves, fibre and stem cutting were evaluated The differences obtained were related to the differences produced by the effect of the fermentation process. Flavour and aroma descriptors of the tea liqueur were generated by a trained panel. Colour and astringency were evaluated in comparison with qualified standards using non structured linear scales. In order to relate the sensory analysis and the chemical composition for the different varieties of tea, following determinations were made: chemical moisture, dry material, aqueous extract, tannin and caffeine. Through multifactor regression analysis the equations in relation to the following chemical parameters were determined. Dry material, aqueous extract and tannins for colour and moisture, dry material and aqueous extract for astringency, respectively. Statistical analysis through ANOVA (3 variation sources: samples, judges and replications) showed for samples four significant different groups for astringency and three different groups for colour. No significant differences between judges or repetitions were found. By multifactor regression analysis of both, colour and astringency, on their dependence of chemist results were calculated in order to asses the corresponding equations.
Wittig de Penna
Emma
E
Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago, Chile.
José Zúñiga
María
M
Fuenzalida
Regina
R
López-Planes
Reinaldo
R
D000704:Analysis of Variance; D001118:Argentina; D001938:Brazil; D002110:Caffeine; D028241:Camellia sinensis / Q000737:chemistry*; D002677:Chile; D003116:Color; D005518:Food Preferences; D006801:Humans; D012044:Regression Analysis; D012903:Smell; D013188:Sri Lanka; D013649:Taste; D013662:Tea / Q000737:chemistry*
D013662:Tea; D002110:Caffeine