Applying an Optimization Technique for The Extraction of Antioxidant Components from Justicia Adhatoda Leaves

Abstract

In this research work, the response surface approach was constructed on a central composite design (CCD) and was applied to control optimization for antioxidant elements extraction from Justicia adhatoda shrubberies. Two extraction parameters were assessed in 14 experimental trials as methanol: water (30% to 80%) and the extraction time (4 to 6 days). The quadratic polynomial equation of multiple regression analysis forecasts the extraction process's optimization. The maximum antioxidant extract (AE) was obtained at methanol (55%) and time (6.41 days) 6.48 g/100g on trial 09. The minimum radical scavenging activity (IC50) values were obtained at methanol (55%) and extraction time of 3.59 days on trial 08. It was found that the AE yields and radical scavenging activity (IC50) of Justicia adhatoda leaves could be optimized at 6.62 g/100g and 1.66 μg/mL at the optimum condition at a time of 6.41 days and solvent concentration of 76.01% with overall desirability 0.96. According to the response optimizer method, the conditions that maximize the yield and minimize the DPPH are within the established restrictions. The well-fitted actual values to predicted values validate the regression model acceptability. Antioxidant properties of Justicia adhatoda leaves using response surface methodology (RSM) confirm this technique's usefulness.