Literature DB >> 26777237

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

Udi Jumhawan1, Sastia Prama Putri2, Takeshi Bamba1, Eiichiro Fukusaki3.   

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.
Copyright © 2016 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Asian palm civet coffee; Coffee blend; Kopi Luwak; Metabolomics; Orthogonal projection to latent structures; Prediction model

Mesh:

Substances:

Year:  2016        PMID: 26777237     DOI: 10.1016/j.jbiosc.2015.12.008

Source DB:  PubMed          Journal:  J Biosci Bioeng        ISSN: 1347-4421            Impact factor:   2.894


  4 in total

1.  Alterations in Docosahexaenoic Acid-Related Lipid Cascades in Inflammatory Bowel Disease Model Mice.

Authors:  Shin Nishiumi; Yoshihiro Izumi; Masaru Yoshida
Journal:  Dig Dis Sci       Date:  2018-03-21       Impact factor: 3.199

2.  The Use of Partial Least Square Regression and Spectral Data in UV-Visible Region for Quantification of Adulteration in Indonesian Palm Civet Coffee.

Authors:  Diding Suhandy; Meinilwita Yulia
Journal:  Int J Food Sci       Date:  2017-08-20

3.  Identification of Volatile Compounds and Selection of Discriminant Markers for Elephant Dung Coffee Using Static Headspace Gas Chromatography-Mass Spectrometry and Chemometrics.

Authors:  Poowadol Thammarat; Chadin Kulsing; Kanet Wongravee; Natchanun Leepipatpiboon; Thumnoon Nhujak
Journal:  Molecules       Date:  2018-07-31       Impact factor: 4.411

Review 4.  Application of the Metabolomics Approach in Food Authentication.

Authors:  Jinap Selamat; Nur Amalyn Alyaa Rozani; Suganya Murugesu
Journal:  Molecules       Date:  2021-12-14       Impact factor: 4.411

  4 in total

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