Anti-tubercular activity of the rhizome of curcuma pseudomontana j graham
Journal: International journal of Pharmaceuticals and Health care research (Vol.01, No. 4)Publication Date: 2013-12-30
Authors : Gurusiddesh B Hiremath Basappa B Kaliwal;
Page : 178-183
Keywords : Curcuma pseudomontana; Mycobacterium tuberculosis; Microplate alamar blue assay.;
Abstract
Tuberculosis is a highly infectious disease, with approximately one third of the world’s population including 26 % from India estimated to be infected it. However, this problem has become serious as Mycobacterium tuberculosis developed resistance against drugs. Due to this, emergence of multi-drug resistant (MDR) strains of Mycobacterium tuberculosis has further complex the difficulty of tuberculosis (TB) control all over the world including India. Medicinal plants offer reliance for developing alternate medicines for the treatment of TB. The present study was performed to evaluate anti-tubercular activity of rhizome of Curcuma pseudomontana. The microplate Alamar blue assay (MABA) method is employed for the investigation. The change in the colour in various concentrations 100, 50, 25, 12.5, 6.25, 3.125, 1.6 and 0.8 μg/ml in different solvents like n-hexane, chloroform, ethyl acetate and methanol extracts of the rhizome have been studied. The results of the anti-tubercular assays showed that, hexane, chloroform, ethyl acetate and methanol extracts of rhizome showed activity against Mycobacterium tuberculosis H37RV at 100 and 50mg/ml. The overall results provide promising baseline information for the potential use of the crude extracts from the rhizome of Curcuma pseudomontana for treatment of tuberculosis.
Other Latest Articles
- Prevalence of bovine mastitis in north karnataka, india
- Formulation and evaluation of orodispersible tablets of theophylline
- Method development and validation of zolmitriptan in bulk and tablet dosage form by RP-HPLC
- Pharmacological effects of allium species grown in iraq. An overview
- Design and Implementation of Search Engine Using Vector Space Model for Personalized Search
Last modified: 2014-01-13 16:25:36