Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract Objective: The present study was designed to characterize the phytochemical Constituents of Cassia fistula leaves and bark and FTIR- spectra anlysis of ethanolic extract of Cassia fistula bark. Methods: The ethanolic extract of the leaves and bark of Cassia fistula prepared by Soxhlet Extraction method. Crude extract was analysed by phytochemical tests and FTIR-spectrum. Findings: Phytochemical studies revealed the presence of some interesting secondary metabolites like tannins, flavonoid, carbohydrate, saponins, glycosides and phenol in the leaf extract while tannins, flavonoids, carbohydrate, saponins, glycosides, phenol and terpenoid in the stem bark during qualitative analysis. Interestingly, FTIR analysis of ethanolic stem bark extract confirm the presence of phenolic compound and flavonoid content. The FTIR signals at 3432.7, 1513.8, 1448.3, 1240, 1159 and 567cm-1 were considered as an indicator of the presence of biologically active functional groups alkyne, arene, alkane, alcohol, phenol, ether and halohydrocarbon in it during quantitative analysis. So the present study provide evidences that leaves and bark of Cassia fistula contain bioactive constituents which could be of interest for the development of new drug.
"Phytochemical Screening of Cassia fistula Bark and Leaves Ethanolic Extracts and FTIR analysis.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 1, page no.1 - 5, January-2018, Available :http://www.ijrti.org/papers/IJRTI1801001.pdf
Downloads:
000204857
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator