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All Journal VALENSI Molekul: Jurnal Ilmiah Kimia
Happyana, Nizar
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Biochemistry, Genetics & Molecular Biology Chemistry Materials Science & Nanotechnology

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Metabolite Profiles of Sukabumi Arabica Green Coffee Beans Evaluated by 1H NMR-Based Metabolomics Hamdani, Ahmad; Happyana, Nizar
Molekul Vol 19 No 1 (2024)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jm.2024.19.1.8950

Abstract

Although Sukabumi arabica coffee is one of the famous coffees in Indonesia, however its chemical information is still limited in the literature. In this work, the metabolite profiles of arabica green coffee beans obtained from various plantations in Sukabumi, including Ciayunan, Pondok Halimun, and Selabintana were evaluated by 1H NMR-based metabolomics. In total, 19 metabolites were successfully identified, including the major and minor metabolites of the coffee. The score plot of the OPLS-DA (Orthogonal Partial Least Square Discriminant Analysis) model was successful in classifying the metabolite profiles of the coffees based on their origins. The loading plot analysis showed that the signals belonging to fatty acids, sucrose, trigonelline, chlorogenic acid, lactic acid, and quinic acid, contributed to the classification. S-plot analysis revealed that Selabintana coffee was characterized with higher concentrations of trigonelline and sucrose, whereas Ciayunan sample had higher levels of fatty acids. Meanwhile, the metabolite profile of Pondok Halimun coffee demonstrated an intermediate characteristic between the Ciayunan and Selabintana samples. This work provided valuable scientific information for coffee development especially in West Java and generally in Indonesia. Keywords: metabolomics, multivariate data analysis, NMR, Sukabumi arabica green coffee beans.
Discriminating Green Beans of Puntang Arabica Coffees with 1H NMR Based-Metabolomics Fahmi, Sofi Syamilatul; Happyana, Nizar
Jurnal Kimia Valensi Jurnal Kimia VALENSI, Volume 11, No. 1, May 2025
Publisher : Department of Chemistry, Faculty of Science and Technology Syarif Hidayatullah Jakarta State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jkv.v11i1.41907

Abstract

Puntang Arabica Coffee is one of the famous Indonesian coffees from West Java. This coffee is cultivated in the area of Mount Puntang, Bandung Regency. This study evaluated green beans of Puntang Arabica coffee obtained from different cultivating locations, including Cimulek, Cimenong, Ganda Paraja, and Nameur, with 1H NMR-based metabolomics. The green coffee bean samples were ground, extracted with D2O, and then measured with NMR spectroscopy. The obtained 1H NMR spectra were processed and evaluated by multivariate data analysis techniques using Orthogonal Partial Least Square Discriminant Analysis (OPLSDA) as the main model. In total, 20 metabolites were successfully identified in the 1H NMR spectra of Puntang coffees. Based on multivariate analysis, Cimulek and Cimenong coffee regions possessed similar metabolite profiles possibly due to being in proximity. Trigonelline, 5-chlorogenic acid, and citric acid were detected as the discriminant compounds for Cimulek and Cimenong coffees, whereas lactic acid, lipids, and stearic acid were associated with Ganda Paraja coffee. Meanwhile, GABA was detected constantly as the characteristic compound of Nameur coffee. This report revealed the metabolite profile of Puntang Arabica coffees for the first time and provided scientific information for the development of coffee plantations.
Co-Authors Fahmi, Sofi Syamilatul Hamdani, Ahmad