Literature DB >> 25912451

Application of gas chromatography/flame ionization detector-based metabolite fingerprinting for authentication of Asian palm civet coffee (Kopi Luwak).

Udi Jumhawan1, Sastia Prama Putri1, Takeshi Bamba1, Eiichiro Fukusaki2.   

Abstract

Development of authenticity screening for Asian palm civet coffee, the world-renowned priciest coffee, was previously reported using metabolite profiling through gas chromatography/mass spectrometry (GC/MS). However, a major drawback of this approach is the high cost of the instrument and maintenance. Therefore, an alternative method is needed for quality and authenticity evaluation of civet coffee. A rapid, reliable and cost-effective analysis employing a universal detector, GC coupled with flame ionization detector (FID), and metabolite fingerprinting has been established for discrimination analysis of 37 commercial and non-commercial coffee beans extracts. gas chromatography/flame ionization detector (GC/FID) provided higher sensitivity over a similar range of detected compounds than GC/MS. In combination with multivariate analysis, GC/FID could successfully reproduce quality prediction from GC/MS for differentiation of commercial civet coffee, regular coffee and coffee blend with 50 wt % civet coffee content without prior metabolite details. Our study demonstrated that GC/FID-based metabolite fingerprinting can be effectively actualized as an alternative method for coffee authenticity screening in industries.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Civet coffee; Gas chromatography/flame ionization detector; Industrial routine; Kopi Luwak; Metabolite fingerprinting

Mesh:

Substances:

Year:  2015        PMID: 25912451     DOI: 10.1016/j.jbiosc.2015.03.005

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


  4 in total

1.  GC/MS-based metabolic profiling for the evaluation of solid state fermentation to improve quality of Arabica coffee beans.

Authors:  Pingkan Aditiawati; Dea Indriani Astuti; Jayen Aris Kriswantoro; Shafira Mutia Khanza; Tomoya Irifune; Fitri Amalia; Eiichiro Fukusaki; Sastia Prama Putri
Journal:  Metabolomics       Date:  2020-04-23       Impact factor: 4.290

2.  GC/MS based metabolite profiling of Indonesian specialty coffee from different species and geographical origin.

Authors:  Sastia Prama Putri; Tomoya Irifune; Eiichiro Fukusaki
Journal:  Metabolomics       Date:  2019-09-18       Impact factor: 4.290

3.  Gas Chromatography-Mass Spectrometry and Single Nucleotide Polymorphism-Genotype-By-Sequencing Analyses Reveal the Bean Chemical Profiles and Relatedness of Coffea canephora Genotypes in Nigeria.

Authors:  Chinyere F Anagbogu; Christopher O Ilori; Ranjana Bhattacharjee; Olufemi O Olaniyi; Diane M Beckles
Journal:  Plants (Basel)       Date:  2019-10-18

4.  Validation of a Quantitative Proton Nuclear Magnetic Resonance Spectroscopic Screening Method for Coffee Quality and Authenticity (NMR Coffee Screener).

Authors:  Alex O Okaru; Andreas Scharinger; Tabata Rajcic de Rezende; Jan Teipel; Thomas Kuballa; Stephan G Walch; Dirk W Lachenmeier
Journal:  Foods       Date:  2020-01-04
  4 in total

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