Discrimination of the Geographic Origin of Mangoes Using Fluorescence Fingerprint

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  • Nakamura Yukako
    Graduate School of Agricultural and Life Sciences, The University of Tokyo
  • Fujita Kaori
    National Food Research Institute, National Agriculture and Food Research Organization
  • Sugiyama Junichi
    National Food Research Institute, National Agriculture and Food Research Organization
  • Tsuta Mizuki
    National Food Research Institute, National Agriculture and Food Research Organization
  • Shibata Mario
    National Food Research Institute, National Agriculture and Food Research Organization
  • Yoshimura Masatoshi
    National Food Research Institute, National Agriculture and Food Research Organization
  • Kokawa Mito
    Graduate School of Agricultural and Life Sciences, The University of Tokyo
  • Nabetani Hiroshi
    Graduate School of Agricultural and Life Sciences, The University of Tokyo National Food Research Institute, National Agriculture and Food Research Organization
  • Araki Tetsuya
    Graduate School of Agricultural and Life Sciences, The University of Tokyo

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Other Title
  • 蛍光指紋計測によるマンゴーの産地判別
  • ケイコウ シモン ケイソク ニ ヨル マンゴー ノ サンチ ハンベツ

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Abstract

A new method using fluorescence fingerprint (FF) to determine the geographic origin of mangoes was developed. The advantages of this method are that it is easy, non-destructive, and non-contact. Mangoes (Mangifera indica L., “Irwin”) harvested in 2010 and 2011 from Taiwan, Miyazaki and Okinawa were examined. FF of their pulp and skin were measured by a fluorescence spectrophotometer. Canonical discriminant analysis was applied to separate the two nationalities or three localities of geographic origin. This analysis was carried out for two datasets, i.e., “data of 2010” and “data of 2010 + 2011”. The misclassification rates of validation samples were 3.2-19.2% and 7.7-13.6%, respectively. Conditions chosen as effective variables for both datasets were wavelengths from 260 to 290 nm in excitation and from 340 to 360 nm in emission. The fluorescence information of these wavelength ranges can contribute significantly to the determination of geographic origin for mangoes. In addition, we found that because of lower misclassification rates, FF is more suitable for skin than pulp. It is suggested that FF can be a practical method to determine geographic origin of mangoes.

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