ArticleMolecules (Basel, Switzerland)2020
Untargeted HILIC-MS-Based Metabolomics Approach to Evaluate Coffee Roasting Process: Contributing to an Integrated Metabolomics Multiplatform.
Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Evaluation of the Functional Properties and Edible Safety of Concocted Xanthii Fructus Protein.Foods (Basel, Switzerland) · 2025Article
- Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM.Chinese medicine · 2025Review
- Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023Review
- Metabolomics as a tool for geographic origin assessment of roasted and green coffee beans.Heliyon · 2023Review
- Article
- Promoting Human Nutrition and Health through Plant Metabolomics: Current Status and Challenges.Biology · 2020Review
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5 authors.
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Abstract
An untargeted metabolomics strategy using hydrophilic interaction chromatography-mass spectrometry (HILIC-MS) was developed in this work enabling the study of the coffee roasting process. Green coffee beans and coffee beans submitted to three different roasting degrees (light, medium, and strong) were analyzed. Chromatographic separation was carried out using water containing 10 mM ammonium formate with 0.2 % formic acid (mobile phase A) and acetonitrile containing 10 mM ammonium formate with 0.2 % formic acid (mobile phase B). A total of 93 molecular features were considered from which 31 were chosen as the most statistically significant using variable in the projection values. 13 metabolites were tentatively identified as potential biomarkers of the coffee roasting process using this metabolomic platform. Results obtained in this work were complementary to those achieved using orthogonal techniques such as reversed-phase liquid chromatography-mass spectrometry (RPLC-MS) and capillary electrophoresis-mass spectrometry (CE-MS) since only one metabolite was found to be common between HILIC-MS and RPLC-MS platforms (caffeoylshikimic acid isomer) and other between HILIC-MS and CE-MS platforms (choline). On the basis of these results, an untargeted metabolomics multiplatform is proposed in this work based on the integration of the three orthogonal techniques as a powerful tool to expand the coverage of the roasted coffee metabolome.
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