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2025 Volume 5
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ARTICLE   Open Access    

Bioactive oriented discovery of diterpenoids in Coffea arabica basing on 1D NMR and LC-MS/MS molecular network

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  • Coffee diterpenes are a class of characteristic components in coffee, which have potential biological activities including the prevention of cancer, obesity, diabetes, and other diseases. Due to the complex chemical composition of roasted coffee beans, analyzing the composition and potential activity of coffee diterpenes has always been a challenge. In the current research, based on activity-oriented research strategies, three novel coffee diterpene esters (13) with moderate α-glucosidase inhibitory activity were separated from roasted Arabica coffee beans. The structures of the three new compounds were determined through comprehensive spectral analysis. To explore trace active diterpene esters of the same type in coffee, a molecular network based on LC-MS/MS was constructed, and three novel coffee diterpene esters (46) were identified.
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  • Supplementary Table S1 1H NMR, 13C NMR and DEPT data of compounds 13a.
    Supplementary Fig. S1 1H NMR spectra of Fr.1-19.
    Supplementary Fig. S2 The mixed DEPT and 13C NMR spectra of Fr.9.
    Supplementary Fig. S3 1H NMR spectra of 1.
    Supplementary Fig. S4 13C NMR spectra of 1.
    Supplementary Fig. S5 1H NMR spectra of 2.
    Supplementary Fig. S6 13C NMR spectra of 2.
    Supplementary Fig. S7 HSQC spectra of 2.
    Supplementary Fig. S8 1H 1H COSY spectra of 2.
    Supplementary Fig. S9 HMBC spectra of 2.
    Supplementary Fig. S10 ROESY spectra of 2.
    Supplementary Fig. S11 1H NMR spectra of 3.
    Supplementary Fig. S12 13C NMR spectra of 3.
    Supplementary Fig. S13 LC-MS/MS based molecular network of coffee diterpene extracts. (G1: green; G2: blue, G3: red, G4: purple).
    Supplementary Fig. S14 The MS spectra for 1.
    Supplementary Fig. S15 The MS spectra for 2.
    Supplementary Fig. S16 The MS spectra for 3.
    Supplementary Fig. S17 The MS spectra for 4.
    Supplementary Fig. S18 The MS spectra for 5.
    Supplementary Fig. S19 The MS spectra for 6.
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  • Cite this article

    Hu G, Quan C, Al-Romaima A, Dai H, Qiu M. 2025. Bioactive oriented discovery of diterpenoids in Coffea arabica basing on 1D NMR and LC-MS/MS molecular network. Beverage Plant Research 5: e004 doi: 10.48130/bpr-0024-0035
    Hu G, Quan C, Al-Romaima A, Dai H, Qiu M. 2025. Bioactive oriented discovery of diterpenoids in Coffea arabica basing on 1D NMR and LC-MS/MS molecular network. Beverage Plant Research 5: e004 doi: 10.48130/bpr-0024-0035

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ARTICLE   Open Access    

Bioactive oriented discovery of diterpenoids in Coffea arabica basing on 1D NMR and LC-MS/MS molecular network

Beverage Plant Research  5 Article number: e004  (2025)  |  Cite this article

Abstract: Coffee diterpenes are a class of characteristic components in coffee, which have potential biological activities including the prevention of cancer, obesity, diabetes, and other diseases. Due to the complex chemical composition of roasted coffee beans, analyzing the composition and potential activity of coffee diterpenes has always been a challenge. In the current research, based on activity-oriented research strategies, three novel coffee diterpene esters (13) with moderate α-glucosidase inhibitory activity were separated from roasted Arabica coffee beans. The structures of the three new compounds were determined through comprehensive spectral analysis. To explore trace active diterpene esters of the same type in coffee, a molecular network based on LC-MS/MS was constructed, and three novel coffee diterpene esters (46) were identified.

    • In addition to providing humans with essential nutrients, functional foods also bring many biologically active ingredients to humans. These ingredients will exert a wide range of biological activities including anti-oxidation, hypoglycemic, neuroprotection, and lipid-lowering[1]. It has always been a hot and difficult area in food chemistry research to quickly find these potential functional ingredients from the complex extracts of food. Generally, research on functional ingredients in food mostly use phytochemical research procedures, including extraction, separation, structure analysis, and activity evaluation[2]. However, this traditional research method is usually blind, will bring a lot of extra work, and ultimately may not be able to determine active ingredients. In recent years, to improve the research efficiency, state-of-the-art instruments like NMR[3,4], HPLC-SPE-NMR[5], and HPLC-MSn[613] have been used alone or combined with activity detection or metabolomics analysis to quickly carry out dereplication.