Literature DB >> 21793585

Two-dimensional 1H-13C nuclear magnetic resonance (NMR)-based comprehensive analysis of roasted coffee bean extract.

Feifei Wei1, Kazuo Furihata, Fangyu Hu, Takuya Miyakawa, Masaru Tanokura.   

Abstract

Coffee was characterized by proton and carbon nuclear magnetic resonance (NMR) spectroscopy. To identify the coffee components, a detailed and approximately 90% signal assignment was carried out using various two-dimensional NMR spectra and a spiking method, in which authentic compounds were added to the roasted coffee bean extract (RCBE) sample. A total of 24 coffee components, including 5 polysaccharide units, 3 stereoisomers of chlorogenic acids, and 2 stereoisomers of quinic acids, were identified with the NMR spectra of RCBE. On the basis of the signal assignment, state analyses were further launched for the metal ion-citrate complexes and caffeine-chlorogenate complexes. On the basis of the signal integration, the coffee components were successfully quantified. This NMR methodology yielded detailed information on RCBE using only a single observation and provides a systemic approach for the analysis of other complex mixtures.

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Year:  2011        PMID: 21793585     DOI: 10.1021/jf201716w

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  5 in total

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Authors:  Aline Theodoro Toci; Marcos Vinícius de Moura Ribeiro; Paulo Roberto Aparecido Bueno de Toledo; Nivaldo Boralle; Helena Redigolo Pezza; Leonardo Pezza
Journal:  Food Sci Biotechnol       Date:  2017-12-12       Impact factor: 2.391

2.  Green and Roasted Coffee Extracts Inhibit Interferon-β Release in LPS-Stimulated Human Macrophages.

Authors:  Valentina Artusa; Carlotta Ciaramelli; Alessia D'Aloia; Fabio Alessandro Facchini; Nicole Gotri; Antonino Bruno; Barbara Costa; Alessandro Palmioli; Cristina Airoldi; Francesco Peri
Journal:  Front Pharmacol       Date:  2022-05-05       Impact factor: 5.988

3.  Low-field (1)H NMR spectroscopy for distinguishing between arabica and robusta ground roast coffees.

Authors:  Marianne Defernez; Ella Wren; Andrew D Watson; Yvonne Gunning; Ian J Colquhoun; Gwénaëlle Le Gall; David Williamson; E Kate Kemsley
Journal:  Food Chem       Date:  2016-08-11       Impact factor: 7.514

4.  NMR-based metabolomics for simultaneously evaluating multiple determinants of primary beef quality in Japanese Black cattle.

Authors:  Yoshinori Kodani; Takuya Miyakawa; Tomohiko Komatsu; Masaru Tanokura
Journal:  Sci Rep       Date:  2017-05-02       Impact factor: 4.379

5.  Fish ecotyping based on machine learning and inferred network analysis of chemical and physical properties.

Authors:  Feifei Wei; Kengo Ito; Kenji Sakata; Taiga Asakura; Yasuhiro Date; Jun Kikuchi
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

  5 in total

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