Application of Response Surface Methodology to Microwave-Assisted Extraction of Lysergol from Ipomoea Genus and Its Characterization by RP HPLC-UV

Abstract

Objective 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 Ipomoea seeds, 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 from Ipomoea 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.

Identification and determination of ergot alkaloids in Morning Glory cultivars

“…MAE, which utilizes the energy of electromagnetic waves to enhance the extraction process, has also been used in such analysis and in some cases it proved to be more effective [ 22 ]. The MAE technique was successfully utilized for the preparative extraction of heat- and light-sensitive lysergol from Ipomoea seeds [ 23 ]; however, the decomposition of analytes induced by microwaves should always be considered at the method development stage.…”

Optimization of Ultrasonic Extraction of Total Flavonoids from Litchi (<i>Litchi chinensis</i> Sonn.) Seed by Response Surface Methodology

“…Response surface methodology (RSM) is a statistical technique for optimizing processes, which is able to reduce the experimental trials effectively. In recent years, RSM has been employed for optimizing the extraction process of polysaccharides, flavonoids, polyphenols, lysergol, chlorophyll-a, edible oil from various materials [10][11][12][13][14][15][16][17][18]. As one of RSM, Box-Behnken design (BBD) is widely used owing to its easier experimental design and data analysis.…”