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All Journal Indonesian Journal of Chemistry
Nizar Happyana
Organic Chemistry Division, Chemistry Study Program, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Jl. Ganesha No. 10, Bandung 40132, West Java, Indonesia
Chemical Engineering, Chemistry & Bioengineering Chemistry

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Metabolite Profile Evaluation of Indonesian Roasted Robusta Coffees by 1H NMR Technique and Chemometrics Nizar Happyana; Elvira Hermawati; Yana Maolana Syah; Euis Holisotan Hakim
Indonesian Journal of Chemistry Vol 20, No 4 (2020)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (17.668 KB) | DOI: 10.22146/ijc.46492

Abstract

In this work, 1H NMR analysis, along with a chemometrics approach, had been applied for investigating metabolite profiles of Indonesian roasted Robusta coffees obtained from Lampung and Aceh. In total, 24 compounds had been successfully detected in the 1H NMR spectra of the Robusta coffee extracts. Concentrations of some identified metabolites present in the coffees were determined by the quantitative 1H NMR technique. Orthogonal projection to latent structure-discriminant analysis (OPLSDA) was used as a primary method for the chemometric approach. OPLSDA had classified clearly the Robusta coffee samples corresponding to their origin. Loading plot and S-plot of the OPLSDA revealed characteristic metabolites for each Robusta coffee. The results indicated that quinic acid, mannose, arabinoses, and acetic acid were an important discriminant compound for Lampung Robusta coffees. Meanwhile, lipids, lactic acid, and 5-caffeoylquinic acid were found as characteristic metabolites for Aceh Robusta coffee. This report provided knowledge about the chemical composition of Lampung and Aceh Robusta coffees and shed more light on the diversity of Indonesian Robusta coffees. Furthermore, it confirmed that 1H NMR analysis coupled with chemometrics was a powerful method for evaluating and classifying metabolite profiles of the roasted Robusta coffees.
Metabolic Changes in the Trichomes of Cannabis sativa var. bedrobinol Analyzed by 1H-NMR-Based Metabolomics Nizar Happyana; Oliver Kayser
Indonesian Journal of Chemistry Vol 20, No 6 (2020)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.858 KB) | DOI: 10.22146/ijc.48765

Abstract

Trichomes of Cannabis sativa are the main tissue for synthesizing and storing cannabinoids, the most interesting compounds in this plant. In this report, metabolic changes in the trichomes of C. sativa var. bedrobinol were investigated by 1H-NMR-based metabolomics over the flowering session. Three cannabinoids, including Δ9-tetrahydrocannabinolic acid (THCA), cannabichromenic acid (CBCA), and Δ9-tetrahydrocannabinol (THC), were successfully identified in the chloroform extracts of the Cannabis trichomes. Meanwhile, 20 non-cannabinoid compounds, including sugars, amino acids, and other acidic constituents, were detected in the water extracts. Metabolic changes of the Cannabis trichomes during the monitoring time were successfully revealed using the models of partial least squares discriminant analysis (PLSDA) and 1H-NMR quantitative analysis. Score plots of the PLSDA models classified metabolomes based on the harvest time. Discriminant metabolites for the differentiation were detected in the loading plots of the models. THCA was found as an important discriminant compound in the chloroform extracts, while all quantified water-soluble compounds were detected, contributing to the metabolic changes of the water extracts. The obtained results shed more light on the biosynthesis of metabolites in the Cannabis trichomes over the flowering season.
Co-Authors Elvira Hermawati Euis Holisotan Hakim Oliver Kayser Yana Maolana Syah