Determination of coffee origins by integrated metabolomic approach of combining multiple analytical data

Moon Young Choi, Wanseok Choi, Jeong Hill Park, Johan Lim, Sung Won Kwon

Research output: Contribution to journalArticle

48 Scopus citations

Abstract

The flavor and taste of coffee are the most important criteria for evaluating its quality and they are influenced by environmental as well as genetic factors. Because of these factors, including soil, climate and species, diverse components of coffee have been developed. To observe the variation of coffee components by region, a metabolomic approach was applied. In this study, 21 coffee samples of different origin were analyzed by various measuring devices. The acquired data was then integrated and processed by principal component analysis (PCA) using SAS 9.1 software. We found that we could successfully identify the origins of the coffee, dividing the samples in the regions of Asia, South America, and Africa, using the integrated metabolomic approach of combining diverse analytical data with multivariate analysis. In particular, the enhancement of subtle differences by combining data from several instruments resulted in the accurate discrimination of coffee origins.

Original languageEnglish (US)
Pages (from-to)1260-1268
Number of pages9
JournalFood Chemistry
Volume121
Issue number4
DOIs
StatePublished - Aug 15 2010

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Keywords

  • Amine
  • Carbohydrate
  • Coffee
  • GC-FID
  • LC/MS
  • Metabolomics
  • Monosaccharide
  • Origin
  • Principal component analysis
  • Protein

ASJC Scopus subject areas

  • Analytical Chemistry
  • Food Science

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