Literature DB >> 28395826

Identification of biochemical features of defective Coffea arabica L. beans.

María I Casas1, Michael J Vaughan2, Pierluigi Bonello3, Brian McSpadden Gardener3, Erich Grotewold4, Ana P Alonso5.   

Abstract

Coffee organoleptic properties are based in part on the quality and chemical composition of coffee beans. The presence of defective beans during processing and roasting contribute to off flavors and reduce overall cup quality. A multipronged approach was undertaken to identify specific biochemical markers for defective beans. To this end, beans were split into defective and non-defective fractions and biochemically profiled in both green and roasted states. A set of 17 compounds in green beans, including organic acids, amino acids and reducing sugars; and 35 compounds in roasted beans, dominated by volatile compounds, organic acids, sugars and sugar alcohols, were sufficient to separate the defective and non-defective fractions. Unsorted coffee was examined for the presence of the biochemical markers to test their utility in detecting defective beans. Although the green coffee marker compounds were found in all fractions, three of the roasted coffee marker compounds (1-methylpyrrole, 5-methyl- 2-furfurylfuran, and 2-methylfuran) were uniquely present in defective fractions. Published by Elsevier Ltd.

Entities:  

Keywords:  1H-pyrrole, 1-methyl- (PubChem CID: 7304); 2-(2-furanylmethyl)-5-methyl- (PubChem CID: 595524); 3-methylbutanal (PubChem CID: 11552); Acrylic acid (PubChem CID: 6581); Amino acids; Citric acid (PubChem CID: 311); Coffee; Flavor; Fructose (PubChem CID: 5984); Malic acid (PubChem CID: 525); Organic acids; Pentitol (PubChem CID: 827); Pyridine (PubChem CID: 1049); Sucrose (PubChem CID: 5988); Sugars; Volatiles

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Year:  2017        PMID: 28395826     DOI: 10.1016/j.foodres.2017.02.015

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  2 in total

Review 1.  Tools in the Investigation of Volatile Semiochemicals on Insects: From Sampling to Statistical Analysis.

Authors:  Ricardo Barbosa-Cornelio; Fernando Cantor; Ericsson Coy-Barrera; Daniel Rodríguez
Journal:  Insects       Date:  2019-08-06       Impact factor: 2.769

2.  Effect of growing conditions and postharvest processing on arabica coffee bean physical quality features and defects.

Authors:  Mohammed Worku; Tessema Astatkie; Pascal Boeckx
Journal:  Heliyon       Date:  2022-04-04
  2 in total

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