Detection Of Volatile Compounds And Antimicrobial Activities Of Extracts Obtained From The Barks And Fleshes Of Rhizoma Curculiginis In Son La And Kon Tum By Steam Distillation

Abstract

Rhizoma curculiginis is a famous ethnopharmacological medicine for treatment of various diseases, in general debility, deafness cough, asthma, piles, skin diseases, impotence, jaundice, urinary disorders, leucorrhoea, menorrhagia, cancer and wound healing and also the root is an official part and it contributes as a special drug in treatment. The rhizomes was collected from Son La and Kon Tum are divided into two parts: the water extract of whole rhizome serves for antibacterial testing while the rest of them are separated into many small pieces of four types samples in steam distillation (the bark and flesh of Son La, and the bark and the flesh of Kon Tum). The four kinds of rhizomes were performed using steam distillation with 70% methanol as a solvent, and the volatile organic compounds were identified by gas chromatography - mass spectrometry (GC-MS). And, in many different conditions of temperature (50°C, 55°C, 60°C, and 70°C) and durations (12 hours, 14 hours, 16 hours, and 24 hours) for the water extracts of rhizomes in two various sources Son La and Kon Tum express the biological activities in antibacterial susceptibility through agar disk diffusion method against Staphylococcus aureus (S. aureus) ATCC 6538, and Pseudomonas aeruginosa (P. aeruginosa) ATCC 27853. In this study, the ethanol absolute was decided as the positive control, while distilled water was the negative one. Besides, GC-MS is a modern tool to detect volatile organic compounds and contribute a small amount of data for discovering little of very huge compounds in natural herbs like the rhizome of Curculigo orchioides Gaertn, as well as supporting the biological properties of its. Antimicrobial testing in many various temperatures and duration to prove that the bioactivities of the extracts can resist microorganisms, and find the optimal condition for collecting better data.