Literature DB >> 22490013

Arabica and robusta coffees: identification of major polar compounds and quantification of blends by direct-infusion electrospray ionization-mass spectrometry.

Rafael Garrett1, Boniek G Vaz, Ana Maria C Hovell, Marcos N Eberlin, Claudia M Rezende.   

Abstract

Considering that illegal admixture of robusta coffee into high-quality arabica coffee is an important task in coffee analysis, we evaluated the use of direct-infusion electrospray ionization-mass spectrometry (ESI-MS) data combined with the partial least-squares (PLS) multivariate calibration technique as a fast way to detect and quantify arabica coffee adulterations by robusta coffee. A total of 16 PLS models were built using ESI± quadrupole time-of-flight (QTOF) and ESI± Fourier transform ion cyclotron resonance (FT-ICR) MS data from hot aqueous extracts of certified coffee samples. The model using the 30 more abundant ions detected by ES+ FT-ICR MS produced the most accurate coffee blend percentage prediction, and thus, it was later successfully employed to predict the blend composition of commercial robusta and arabica coffee. In addition, ESI± FT-ICR MS analysis allowed for the identification of 22 compounds in the arabica coffee and 20 compounds in the robusta coffee, mostly phenolics.

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Year:  2012        PMID: 22490013     DOI: 10.1021/jf300388m

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


  10 in total

1.  The use of multispectral imaging for the discrimination of Arabica and Robusta coffee beans.

Authors:  Alina Mihailova; Beatrix Liebisch; Marivil D Islam; Jens M Carstensen; Andrew Cannavan; Simon D Kelly
Journal:  Food Chem X       Date:  2022-05-06

2.  Dereplication of plant phenolics using a mass-spectrometry database independent method.

Authors:  Ricardo M Borges; Rahil Taujale; Juliana Santana de Souza; Thaís de Andrade Bezerra; Eder Lana E Silva; Ronny Herzog; Francesca V Ponce; Jean-Luc Wolfender; Arthur S Edison
Journal:  Phytochem Anal       Date:  2018-05-29       Impact factor: 3.373

3.  Advanced solvent signal suppression for the acquisition of 1D and 2D NMR spectra of Scotch Whisky.

Authors:  Will Kew; Nicholle G A Bell; Ian Goodall; Dušan Uhrín
Journal:  Magn Reson Chem       Date:  2017-06-29       Impact factor: 2.447

4.  Evolution of Complex Maillard Chemical Reactions, Resolved in Time.

Authors:  Daniel Hemmler; Chloé Roullier-Gall; James W Marshall; Michael Rychlik; Andrew J Taylor; Philippe Schmitt-Kopplin
Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

5.  Comparison of antioxidant, antimicrobial activities and chemical profiles of three coffee (Coffea arabica L.) pulp aqueous extracts.

Authors:  Acharaporn Duangjai; Nungruthai Suphrom; Jukkrit Wungrath; Atcharaporn Ontawong; Nitra Nuengchamnong; Atchariya Yosboonruang
Journal:  Integr Med Res       Date:  2016-10-11

6.  Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and 1H-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee's Geographical Origin.

Authors:  Jessica Medina; Diana Caro Rodríguez; Victoria A Arana; Andrés Bernal; Pierre Esseiva; Julien Wist
Journal:  Int J Anal Chem       Date:  2017-11-01       Impact factor: 1.885

7.  Inhibition of the Maillard Reaction by Phytochemicals Composing an Aqueous Coffee Silverskin Extract via a Mixed Mechanism of Action.

Authors:  Miguel Rebollo-Hernanz; Beatriz Fernández-Gómez; Miguel Herrero; Yolanda Aguilera; María A Martín-Cabrejas; Jaime Uribarri; María Dolores Del Castillo
Journal:  Foods       Date:  2019-09-25

8.  Hydroxycinnamoyl Amino Acids Conjugates: A Chiral Pool to Distinguish Commercially Exploited Coffea spp.

Authors:  Federico Berti; Luciano Navarini; Silvia Colomban; Cristina Forzato
Journal:  Molecules       Date:  2020-04-08       Impact factor: 4.411

9.  Front-face synchronous fluorescence spectroscopy: a rapid and non-destructive authentication method for Arabica coffee adulterated with maize and soybean flours.

Authors:  Jing-Ya Xie; Jin Tan
Journal:  J Verbrauch Lebensm       Date:  2022-08-17

10.  Classification of Coffee Beans by GC-C-IRMS, GC-MS, and (1)H-NMR.

Authors:  Victoria Andrea Arana; Jessica Medina; Pierre Esseiva; Diego Pazos; Julien Wist
Journal:  J Anal Methods Chem       Date:  2016-07-18       Impact factor: 2.193

  10 in total

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