Identification of green tea origins based on chemical components with statistical analysis
Green tea,one of the six major teas in China,has a wide distribution of origins and a distinct difference in tea quality.Currently,differentiation of green teas from different geographical origins mainly depends on the sensory evaluation.Lack of the quantified evaluation criteria often result in an uncertain result.By analyzing the main chemical components of green teas from six provinces,we used the Bayesian discriminant analysis together with the cluster analysis method to differentiate green teas from six different geographical origins.Results suggested that the Bayesian discriminant analysis can be used to discriminate 27 samples from six regions perfectly and the cluster analysis also showed the same result.Thus,the Bayesian discriminant analysis can provide a specific quantitative model for differentiating green teas originated from different geographical regions.
green teaoriginBayesian discriminantcluster analysis