Study on Statistical Analysis Method Effective for Discrimination of Origin of Tea Leaves Using Inorganic Element Concentration

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  • 無機元素濃度を用いた茶葉の産地判別に有効な統計学的解析手法の検討
  • ムキ ゲンソ ノウド オ モチイタ チャバ ノ サンチ ハンベツ ニ ユウコウ ナ トウケイガクテキ カイセキ シュホウ ノ ケントウ

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Abstract

<p>Tea leaves are produced all over the world, and their production areas are labeled and sold as brands. It has been recognized that it is effective to measure the concentration of inorganic elements in tea leaves as a scientific and objective discrimination method to support the origin of tea leaves. Several statistical analyzes using IBM SPSS (version 22) were performed on the inorganic element content of tea leaves with clear production area, and a statistical analysis method effective for discrimination of origin was studied. Sodium, aluminum, iron, magnesium and calcium contents were subjected to statistical analysis using 135 samples of Darjeeling tea, 32 samples of Yakushima tea leaves, 47 samples of Japanese tea leaves other than Yakushima and 10 samples of Sri Lankan tea leaves. We performed principal component analysis, discriminant analysis, decision tree analysis on the discrimination of the four groups of Darjeeling, Yakushima, Japan other than Yakushima and Sri Lanka as well as the discrimination of the two groups of Darjeeling and other production areas. As a result, since the number of data of each group is greatly different, discrimination analysis was found to be the most accurate for the production area discrimination. In addition, it was suggested that a conclusion should be made by using a plurality of analysis methods in combination for accurate determination.</p>

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