
Coffee Silverskin (CS) and the leaves are by-products generated during the harvesting of green coffee beans. CS and the leaves obtained from the major Liberica species cultivated in Sarawak, Malaysia remain underexplored. This study investigated the bioactive compound composition of Sarawak Liberica coffee silverskin and leaf extracts using gas chromatography coupled with mass spectrometry (GC-MS). Phytochemical analysis was conducted on the extracts of both CS and leaves. The GC-MS analysis revealed the presence of 41 chemical compounds, with four major compounds identified: 5-hydroxymethylfurfural (5-HMF), D-allose, 1,6-anhydro-β-D-glucofuranose, and caffeine in the CS extract. The results indicated that the percentage of caffeine content in the CS extracts showed no significant difference (p < 0.05) between ethanol (1.55 ± 0.47%), methanol (1.77 ± 0.38%), and water (1.92 ± 0.65%). Additionally, the Total Phenolic Content (TPC) of Liberica coffee leaves was measured at 35.76 ± 2.12 mg GAE/g extract while the Total Flavonoid Content (TFC) was 605.85 ± 8.20 mg QE/g extract. The antioxidant activity of Liberica coffee leaves was recorded at 54.37 ± 0.10%. The substantial presence of bioactive compounds suggests potential applications in food and pharmaceutical formulations.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
