論文

査読有り
2012年10月10日

(13)C NMR-based metabolomics for the classification of green coffee beans according to variety and origin

Journal of Agricultural and Food Chemistry
  • Feifei Wei
  • ,
  • Kazuo Furihata
  • ,
  • Masanori Koda
  • ,
  • Fangyu Hu
  • ,
  • Rieko Kato
  • ,
  • Takuya Miyakawa
  • ,
  • Masaru Tanokura

60
40
開始ページ
10118
終了ページ
10125
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1021/jf3033057
出版者・発行元
AMER CHEMICAL SOC

C-13 NMR-based metabolomics was demonstrated as a useful tool for distinguishing the species and origins of green coffee bean samples of arabica and robusta from six different geographic regions. By the application of information on C-13 signal assignment, significantly different levels of 14 metabolites of green coffee beans were identified in the classifications, including sucrose, caffeine, chlorogenic acids, choline, amino acids, organic acids, and trigonelline, as captured by multivariate analytical models. These studies demonstrate that the species and geographical origin can be quickly discriminated by evaluating the major metabolites of green coffee beans quantitatively using C-13 NMR-based metabolite profiling.

リンク情報
DOI
https://doi.org/10.1021/jf3033057
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/22989016
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000309566100023&DestApp=WOS_CPL
ID情報
  • DOI : 10.1021/jf3033057
  • ISSN : 0021-8561
  • eISSN : 1520-5118
  • PubMed ID : 22989016
  • Web of Science ID : WOS:000309566100023

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