application of response surface methodology to microwave-assisted extraction of lysergol from ipomoea genus and its characterization by rp hplc-uv

ipomoea genus is an excellent source of lysergol which is used as a hypotensive and psychrotopic analgesic. microwave-assisted extraction (mae) was employed to extract lysergol from ipomoeaseeds, and response surface methodology (rsm) was applied to predict optimum conditions for extraction.

methodology

box–behnken statistical design was used to monitor the effect of independent variables like temperature (a—50°c, 60°c, and 70°c), power (b—240, 350, and 700 w), and time (c—10, 20, and 30 min) on a dependent variable/percent yield of lysergol when microwaves were applied. correlation analysis of the mathematical regression model indicated that a quadratic polynomial model could be employed to optimize the process.

results

the optimum extraction conditions in order to obtain the highest lysergol yield were temperature (60°c), power (350 w), and time (20 min). the average actual yield of lysergol under the optimum conditions was found to be 78.0%, whereas the predicted yield under similar conditions was 85.374%.

conclusions

the results verified our experiments and successful application of rsm to mae of lysergol fromipomoea seeds. the percentage purity of the extracted lysergol was found to be 90% with reference to standard lysergol (97%) with the help of rp hplc-uv.