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

    Research output: Contribution to journalArticlepeer-review

    49 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)79-84
    Number of pages6
    JournalJournal of Bioscience and Bioengineering
    Volume122
    Issue number1
    DOIs
    Publication statusPublished - Jul 1 2016

    All Science Journal Classification (ASJC) codes

    • Biotechnology
    • Bioengineering
    • Applied Microbiology and Biotechnology

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