Quantification of coffee blends for authentication of Asian palm civet coffee (Kopi Luwak) via metabolomics: A proof of concept

Udi Jumhawan, Sastia Prama Putri, Yusianto, Takeshi Bamba, Eiichiro Fukusaki

    研究成果: ジャーナルへの寄稿学術誌査読

    42 被引用数 (Scopus)

    抄録

    Asian palm civet coffee (Kopi Luwak), an animal-digested coffee with an exotic feature, carries a notorious reputation of being the rarest and most expensive coffee beverage in the world. Considering that illegal mixture of cheap coffee into civet coffee is a growing concern among consumers, we evaluated the use of metabolomics approach and orthogonal projection to latent structures (OPLS) prediction technique to quantify the degree of coffee adulteration. Two prediction sets, consisting of certified and commercial coffee, were made from a blend of civet and regular coffee with eleven mixing percentages. The prediction model exhibited accurate estimation of coffee blend percentage thus, successfully validating the prediction and quantification of the mixing composition of known-unknown samples. This work highlighted proof of concept of metabolomics application to predict degree of coffee adulteration by determining the civet coffee fraction in blends.

    本文言語英語
    ページ(範囲)79-84
    ページ数6
    ジャーナルJournal of Bioscience and Bioengineering
    122
    1
    DOI
    出版ステータス出版済み - 7月 1 2016

    !!!All Science Journal Classification (ASJC) codes

    • バイオテクノロジー
    • バイオエンジニアリング
    • 応用微生物学とバイオテクノロジー

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