Unique metabolite profiles of Indonesian cocoa beans from different origins and their correlation with temperature.

Chocolate flavors vary depending on the origin of the cocoa beans used. Differences in soil, microorganisms, and environmental factors contribute to the formation of flavor precursors in cocoa beans. During cocoa bean fermentation, environmental temperature has been shown to alter metabolite concentrations. However, the correlation between the metabolite profile of cocoa beans and the temperature of their region of origin has not been fully defined. In this study, the metabolite profiles of Indonesian cocoa beans of various origins were evaluated using gas chromatography/mass spectrometry-based analysis, and were found to differ depending on the origin of the bean. Subsequently, the correlation between metabolite profile and environmental temperature of the origin was assessed using orthogonal projection to latent structure regression (OPLS-R) analysis. The analysis revealed that seven metabolites were associated with temperature: γ-aminobutyric acid (GABA), ethanolamine, glycerol, isocitric acid + citric acid, succinic acid, malic acid, and saccharic acid. The findings of this study will be valuable to chocolate industries for the production of single-origin chocolates.

Untargeted Metabolomics Analysis of Eggplant (Solanum melongena L.) Fruit and Its Correlation to Fruit Morphologies.

Eggplant is one of the most widely cultivated vegetables in the world and has high biodiversity in terms of fruit shape, size, and color. Therefore, fruit morphology and nutrient content become important considerations for both consumers and breeders who develop new eggplant-based products. To gain insight on the diversity of eggplant metabolites, twenty-one eggplant accessions were analyzed by untargeted metabolomics using GC-MS and LC-MS. The dataset of eggplant fruit morphologies, and metabolites specific to different eggplant fruit accessions were used for correlation analysis. Untargeted metabolomics analysis using LC-MS and GC-MS was able to detect 136 and 207 peaks, respectively. Fifty-one (51) metabolites from the LC-MS analysis and 207 metabolites from the GC-MS analysis were putatively identified, which included alkaloids, terpenes, terpenoids, fatty acids, and flavonoids. Spearman correlation analysis revealed that 14 fruit morphologies were correlated with several metabolites. This information will be very useful for the development of strategies for eggplant breeding.

A study on medicinal plants from Malaysia focused on Acalypha siamensis Oliv. ex Gage. isolation and structure of a new tetraterpene, acalyphaser A.

As a part of our chemical studies on Malaysian medicinal plants, five Malaysian plant species were evaluated by cytotoxicity assays using P388 murine leukemia cells. Since Acalypha siamensis exhibited the strongest growth inhibition, its constituents were studied as the object of search for bioactive materials. A novel tetraterpene, acalyphaser A (1), was isolated in the course of the purification. Its structure was elucidated on the basis of 1D- and 2D-NMR techniques, and mass spectrometry.