Abstract
This investigation aimed to optimize the extraction of plumbagin by the microwave-assisted extraction (MAE) method and optimize the extraction parameters using response surface methodology (RSM) and adaptive neuro-fuzzzy inference system (ANFIS). A single-factor experiment was conducted to examine the range of the extraction parameters. Box and Behnken's design (BBD) which is a three-level factorial experiment was selected to obtain the best combination of three extraction parameters, namely extraction time, solvent volume, and particle size. The experimental data obtained was analyzed and fitted in the second-order polynomial equation, the r2 value of 0.993 for plumbagin yield was obtained. The model was found significant and all three parameters had a significant effect on the plumbagin yield. The optimal parameters were extraction time of 4 min, the solvent volume of 20 mL, and particle size 0.6 mm. At these optimal conditions, the plumbagin yield was 0.992% which was found to be close to the predicted values of RSM and ANFIS. The results obtained showed that MAE can be a highly efficient method for plumbagin extraction by reducing time and solvent consumption by many folds. There is a rising demand for plumbagin in the pharmaceutical industry; this study will allow a time-efficient and cost-effective extraction process.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
