Application of GC / MS and GC / FID - based metabolomics for authentication of Asian palm civet coffee (
نویسنده
چکیده
Metabolomics Application of GC/MS and GC/FID-based metabolomics for authentication of Asian palm civet coffee (Kopi Luwak) Kopi Luwak, world’s most expensive coffee firstly originated from Indonesia, is made from coffee berries that have been digested by the animal Asian palm civet (Paradoxurus hemaphroditus). Despite its profitable prospect, there is no reliable and standardized method for determining its authenticity. Therefore, research on the development of robust method for authentication of Kopi Luwak is urgently needed, particularly to prevent fraud in market worldwide. Twenty-one coffee samples (Coffea arabica, Coffea canephora) of three cultivation areas were firstly analyzed by GC-Q/MS. Principal Component Analysis (PCA), Orthogonal Projection to Latent Structures-Discriminant Analysis (OPLS-DA) and Significance Analysis of Microarrays/Metabolites (SAM) of Kopi Luwak was employed to select discrimination marker candidates for authentication of Kopi Luwak. Applicability of discriminant marker candidates was verified using commercial samples. We further established a rapid, reliable and cost-effective analysis employing a universal detector, GC coupled with flame ionization detector (FID) for discrimination analysis of 37 commercial and non-commercial coffee beans extracts. Our study demonstrated that GC/FID-based metabolite fingerprinting can be effectively actualized as an alternative method for coffee authenticity screening in industries.
منابع مشابه
Selection of discriminant markers for authentication of Asian palm civet coffee (Kopi Luwak): a metabolomics approach.
Kopi Luwak, an exotic Indonesian coffee, is made from coffee berries that have been eaten by the Asian palm civet ( Paradoxurus hermaphroditus ). Despite being known as the world's most expensive coffee, there is no reliable, standardized method for determining its authenticity. GC-MS-based multimarker profiling was employed to explore significant metabolites as discriminant markers for authent...
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