13C NMR-Based Metabolomics for the Classification of Green Coffee Beans According to Variety and Origin

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• 作者：Feifei Wei ; Kazuo Furihata ; Masanori Koda ; Fangyu Hu ; Rieko Kato ; Takuya Miyakawa ; Masaru Tanokura
• 刊名：Journal of Agricultural and Food Chemistry
• 出版年：2012
• 出版时间：October 10, 2012
• 年：2012
• 卷：60
• 期：40
• 页码：10118-10125
• 全文大小：514K
• 年卷期：v.60,no.40(October 10, 2012)
• ISSN：1520-5118

文摘

¹³C 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 ¹³C 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 ¹³C NMR-based metabolite profiling.

Keywords:

¹³C NMR; green coffee bean; PCA; OPLS-DA; species; origins