4.4 Article

Identification of markers of sensory quality in ground coffee: an untargeted metabolomics approach

Journal

METABOLOMICS
Volume 16, Issue 12, Pages -

Publisher

SPRINGER
DOI: 10.1007/s11306-020-01751-6

Keywords

Sensory markers; Food quality; Metabolomics; Food volatiles; UHPLC-QTOF-MS; HS-GC-MS

Funding

  1. Universita Cattolica del Sacro Cuore within the CRUI-CARE Agreement

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IntroductionIn the last years, consumers increased the demand for high-quality and healthy beverages, including coffee. To date, among the techniques potentially available to determine the overall quality of coffee beverages, metabolomics is emerging as a valuable tool.ObjectiveIn this study, 47 ground coffee samples were selected during the 2018 Edition of the International coffee tasting (ICT) in order to provide discrimination based on both chemical and sensory profiles. In particular, 20 samples received a gold medal (high quality group), while lower sensory scores characterized 27 samples (without medal).MethodsUntargeted metabolomics based on ultra-high pressure liquid chromatography coupled with quadrupole-time-of-flight (UHPLC-QTOF) and head space-gas chromatography coupled with mass spectrometry platforms followed by multivariate statistical approaches (i.e., both supervised and unsupervised) were used to provide new insight into the searching of potential markers of sensory quality.ResultsSeveral compounds were identified, including polyphenols, alkaloids, diazines, and Maillard reaction products. Also, the headspace/GC-MS highlighted the most important volatile compounds. Polyphenols were scarcely correlated to the sensory parameters, whilst the OPLS-DA models built using typical coffee metabolites and volatile/Maillard compounds possessed prediction values>0.7. The high quality group showed specific metabolomic signatures, thus corroborating the results from the sensory analysis. Overall, methyl pentanoate (ROC value=0.78), 2-furfurylthiol (ROC value=0.75), and L-Homoserine (ROC value=0.74) established the higher number of significant (p<0.05) correlations with the sensory parameters.ConclusionAlthough ad-hoc studies are advisable to further confirm the proposed markers, this study demonstrates the suitability of untargeted metabolomics for evaluating coffee quality and the potential correlations with the sensory attributes.

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