Document Detail


(13)C NMR-Based Metabolomics for Classification of Green Coffee Beans According to Variety and Origin.
MedLine Citation:
PMID:  22989016     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
A (13)C 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 applying information on (13)C signal assignment, significantly different levels of fourteen 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. Our studies demonstrate that the species and geographical origin can be quickly discriminated by evaluating the major metabolites of green coffee beans quantitatively using (13)C NMR-based metabolite profiling.
Authors:
Feifei Wei; Kazuo Furihata; Masanori Koda; Fangyu Hu; Rieko Kato; Takuya Miyakawa; Masaru Tanokura
Related Documents :
2795466 - Comparative study on cytogenetic effects by diplatinum complexes of the ligands of naph...
24027566 - Understanding biocatalyst inhibition by carboxylic acids.
24161476 - A one-step dipstick assay for the on-site detection of nucleic acid.
5340506 - An extracellular lipopolysaccharide-phospholipid-protein complex produced by escherichi...
23273636 - Analysis of amino acid-water interactions by partitioning in aqueous two-phase systems....
21108116 - Flavones and rosmarinic acid from salvia limbata.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-9-19
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  -     ISSN:  1520-5118     ISO Abbreviation:  J. Agric. Food Chem.     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-9-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  The usefulness of Real Time Morphology software in semen assessment of teratozoospermic boars.
Next Document:  Anti-Fas/CD95 and TRAIL differentially regulate apoptosis in normal and neoplastic human basophils.