Design of Experiment Approach for the Process Optimisation of Microwave Assisted Extraction of Lupeol fromFicus racemosaLeaves Using Response Surface Methodology

Abstract

Under the optimal conditions the mathematical model was found to be well fitted with the experimental data. The MAE was found to be a more rapid, convenient and appropriate extraction method, with a higher yield and lower solvent consumption when compared with conventional extraction techniques.

Comparison of extraction methods optimised by RSM for extraction of some bioactives from liquorice samples

“…Due to the dielectric properties of the solvent and matrix, MAE heats the material by transferring heat from the surface to the centre of the material. Therefore, this technique is an alternative to other conventional methods used in plant material extraction (Das et al, 2013). Few prior studies have reported the extraction of GL, GA, CBX, and LQ from liquorice by using MAE.…”

A Brief Understanding of Process Optimisation in Microwave‐assisted Extraction of Botanical Materials: Options and Opportunities with Chemometric Tools

“…In the example of Das et al . () the interaction effects of microwave power ( x 1 ) × irradiation time ( x 2 ), irradiation time ( x 2 ) × solvent:sample‐loading ratio ( x 3 ) and microwave power ( x 1 ) × solvent:sample‐loading ratio ( x 3 ) are (−) 1.13, (−) 0.80 and (−) 0.90 respectively.…”

“…For example, Das et al . () reported an optimisation methodology for MAE of triterpenoid from Ficus racemosa leaves. The response was the yield ( Y ) of lupeol (µg/g) and was optimised as a function of microwave power ( x 1 ), irradiation time ( x 2 ), solvent:sample‐loading ratio ( x 3 ): …”

Ultrasound‐assisted Extraction of Gymnemic Acids from Gymnema sylvestre Leaves and its Effect on Insulin‐producing RINm‐5 F β Cell Lines

“…Response-surface methodology combined with a Box-Behnken design is a useful technique for manipulating parameters to improve extraction of the active molecule, because this can be achieved by conducting fewer experiments, visualisation of the effects of the interaction between two factors in a two-dimensional response plot, model generation and prediction of the level of extracted molecules (Box and Behnken, 1960;Chen et al, 2010;Yan et al, 2011;Das et al, 2013;Sahin et al, 2013).…”