Identification of active anti-inflammatory principles of beta-beta wood (Lunasia amara Blanco) from Siawung Barru-South Sulawesi, Indonesia

Abstract

Purpose: To identify the anti-inflammatory components of beta-beta (Lunasia amara Blanco.) wood. Methods: The wood material was extracted with 96% ethanol and fractionated with dichloromethane using a liquid-liquid continuous extraction (LLCE). The fractions were subjected to silica gel column chromatography. Components of the extracts were identified by thin layer chromatography (TLC) scanner and UV-visible spectroscopy, using scopoletin as standard. Results: TLC results for Lunasia amara extract showed the same spot as standard scopoletin. UV-visible spectrum for scopoletin displayed maximum absorption at 213, 228, 255 and 344 nm, while beta-beta wood extract showed characteristic bands at 344, 336, 299 and 255 nm. The results indicate that the main components of the extracts are scopoletin and its derivatives. Conclusion: The active anti-inflammatory compound in beta-beta (Lunasia amara) wood is scopoletin.