Detection Metabolite Volatile Compounds and In Silico Bioactivity of Robusta Leaves (Coffea canephora) from Pakusari Village, Jember
DOI:
https://doi.org/10.12928/jafost.v7i3.15489Keywords:
Coffea canephora, GC-MS, Metabolite compound, PASS online, RobustaAbstract
Robusta coffee is among the most plentiful varieties, although the utilisation of its foliage remains suboptimal. People belief that coffee leaves help reduce hypertension. The objective of this research was to identify volatile metabolites from robusta coffee foliage utilising GC-MS and this study will contribute to advances in the further development of natural phytopharmaceuticals. This study acts as a preliminary evaluation for the creation of herbal treatments derived from coffee leaves. The primary technique of GC-MS involves identifying volatile metabolites using molecular weight, retention time, and percentage area. The research employed maceration extraction over three days with a leaf sample ratio of 30 g to 300 mL of 96% methanol, chemical identification via GC-MS, and in silico bioactivity assessment using PASS Online. The results of GC-MS detection showed that robusta coffee leaf extract contained 73 metabolite compounds. Dominant compounds in coffee leaf extract included 2-Propanol, 1,1'-oxybis- (peak 18), 1-Propanol, 2-(2-hydroxypropoxy)- (peak 21), Butanedioic acid, monomethyl ester (peak 43), Benzofuran, 2,3-dihydro- (peak 46), Succinimide (peak 49), 5-Hydroxymethylfurfural (peak 50), Phenol, 4-ethenyl-2,6-dimethoxy- (peak 52), Phytol (peak 53), Catechol (peak 57), Niacin (peak 58), n-Hexadecanoic acid (peak 61), Hydroquinone (peak 63), 9-Octadecenoic acid, (E)- [Elaidic acid] (peak 65), Caffeiene (peak 67), 9,12-Octadecadienoic acid (Z,Z)- [linoeic acid] (peak 68), Xanthine, 1,3,7,8-tetramethyl- (peak 69), 9,12,15-Octadecatrienoic acid, (Z,Z,Z)- (peak 70), dan 1,3-Propanediol, 2-(hydroxymethyl)-2-nitro- (peak 71). The area percentage value of caffeine was 45.37%, and in silico bioactivity showed analeptic characteristics. This analysis could not match the phenomenon in Pakusari Village, where coffee leaves are antihypertensive.
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