“PHYTOCHEMICAL STUDY OF ASHTAVARGA – THE GROUP OF RARE ANTI-AGING MEDICINAL PLANTS”
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Date
2012-12
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jau,junagadh
Abstract
The present investigation on “Phytochemistry of Ashtavarga – the group of rare anti-aging medicinal plants” was planned to conduct with three main objectives, (1) Preliminary phytochemical screening, (2) Isolation of phytochemicals and separation of secondary metabolites using Sepbox-2000 and (3) Identification of phytochemicals using GCMS.
Preliminary phytochemical screening was done from 90:10 methanol:water extracts of economic parts of Ashtavarga plants.
Jeevak and Rishbhak had strongly presence of phenol compared to other Ashtavarga plants. Tannin was present only in Rishbhak and Kshirkakoli. Likewise, cardiac glycosides and steroid were strongly present in all Ashtavarga plants. Other constituents like terpenoids, triterpenes, aminoacids, proteins, carbohydrates and flavonoids were slightly present in all Ashtavarga plants. Fat & fixed oil, saponins, quinones and alkaloids were slighty present in Kakoli, Meda and Mahameda, Rishbhak, Kshirkakoli and Vrdhi, Kakoli and Meda, Jeevak and Rishbhak, respectively. While, lignans were absent in all the plants studied.
For detailed study Kakoli and Kshirkakoli were selected from Ashtavarga plants. Isolation of phytochemicals and separation of secondary metabolites using Sepbox-2000 showed that total 113 fractions from Kakoli and 103 fractions from Kshirkakoli were collected.
Thus, it was evident that sepbox was the standard technology used for separation of compounds from natural resources and it allowed processing sample automatically and would make up to 30 times faster than by using a conventional process.
From 113 fractions of Kakoli three fractions i.e. fraction 45, 48 and 66 were subjected for identification using GCMS. The result showed that seven different compounds namely 3-furaldehyde, silane, methyl, acetaldehyde, dimethylamine, ethylene oxide, acetamide, 2-cyano and pentanal were identified with different similarity index from three above fractions. Highest similarity index was 94 % of acetaldehyde and lowest was 78 % of acetamide, 2-cyano. One peak of fraction 45 was unidentified with library search suggested presence of some novel, unknown compound.
From 103 fractions from Kshirkakoli i.e. fraction 73, 92 and 94 were subjected for identification using GCMS. The result showed that twenty six compounds were identified with different similarity index from three above fractions. Highest similarity index was 89 % of R-(-)-cyclohexylethylamine and lowest was 71 % of Macdougallin. Three peaks i.e. one of fraction 73 and two of fraction 92 were unidentified with library search suggested presence of some novel, unknown compounds. Further study is required for identification of such compounds.
Thus, it was evident that GC could separate volatile and semi volatile compounds with great resolution and MS could provide detailed structural information on most compounds such that they could be exactly identified.
All the compounds played beneficial role as far as pharmacological view as well as industrial and research point of view was concerned. Thus, it supported the anti-aging effect and commercial application of Kakoli and Kshirkakoli.
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biochemistry