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Potential of Arabica Coffee Beans from Northern Thailand Exploring Antidiabetic Metabolites through Liquid Chromatography with Tandem Mass Spectrometry (LC-MS/MS) Metabolomic Profiling across Diverse Postharvest Processing Techniques
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Document Title
Potential of Arabica Coffee Beans from Northern Thailand Exploring Antidiabetic Metabolites through Liquid Chromatography with Tandem Mass Spectrometry (LC-MS/MS) Metabolomic Profiling across Diverse Postharvest Processing Techniques
Author
Tantapakul C. Krobthong S. Jakkaew P. Sittisaree W. Aonbangkhen C. Yingchutrakul Y.
Affiliations
The Research Unit of Natural Product Utilization School of Science Walailak University Nakhon Si Thammarat 80160 Thailand; Center of Excellence in Natural Products Chemistry (CENP) Department of Chemistry Faculty of Science Chulalongkorn University Bangkok 10330 Thailand; School of Information Technology Mae Fah Luang University Thasud Muang Chiang Rai 57100 Thailand; Merck Life Science Thailand Bangkok 10110 Thailand; National Center for Genetic Engineering and Biotechnology National Science and Technology Development Agency (NSTDA) Pathum Thani 12120 Thailand
Type
Article
Source Title
Foods
ISSN
23048158
Year
2023
Volume
12
Issue
21
Open Access
All Open Access Gold Green
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
DOI
10.3390/foods12213893
Abstract
Coffee a widely consumed beverage worldwide undergoes postharvest methods that influence its physicochemical characteristics while roasting modulates its composition affecting sensory attributes. This study investigates the impact of distinct postharvest methods (washed and natural) on the antidiabetic activities including ?-amylase and DPP4 as well as the phytochemical profiling of geological indicator (GI) coffee beans (Coffea arabica L.). The results indicate notable differences in antidiabetic activity and phytochemical profiles between washed and natural processing methods. Coffee beans processed naturally exhibit significant suppression of DPP4 and ?-amylase activities (p-value < 0.01) compared to beans processed using the washed technique. TLC profiling using the ratios of the solvent systems of ethyl acetate/dichloromethane (DCM) and acetone/DCM as separation solvents reveals dominant spots for the washed technique. LC-MS/MS-based untargeted metabolomics analysis using principle component analysis (PCA) clearly segregates samples processed by the natural and washed techniques without any overlap region. A total of 1114 phytochemicals including amino acids and short peptides are annotated. The natural processing of coffee beans has been shown to yield a slightly higher content of chlorogenic acid (CGA) compared to the washed processing method. Our findings highlight the distinct bioactivities and phytochemical compositions of GI coffee beans processed using different techniques. This information can guide consumers in choosing coffee processing methods that offer potential benefits in terms of alternative treatment for diabetes. ? 2023 by the authors.
Keyword
Amylase | chlorogenic acid | DPP4 | geological indicator | Mass spectrometry | TLC
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
License
CC BY
Rights
Authors
Publication Source
WOS