Optimization of ultrasound-assisted extraction of bioactive chemicals from (L.) R.Br. using response surface methodology and adaptive neuro-fuzzy inference system.

Unlabelled: This study was designed to optimize the ultrasound-assisted extraction (UAE) of bioactive chemicals from (L.) R.Br. through RSM (response surface methodology) and ANFIS (adaptive neuro-fuzzy inference system). The effect of four independent parameters, methanol concentration (: 55-65%), temperature (: 30-40 °C), time (: 15-20 min) and particle size (: 0.5-1.00 mm) at five levels (- 2 ,- 1, 0, + 1, + 2) with respect to dependent parameters, total polyphenols content (TP) (y), total flavonoids content (TF) (y), %DPPHsc (y), %ABTSsc (y) and %HOsc (y) were selected. The optimal extraction condition was observed at  = 65%,  = 40 °C,  = 20 min and  = 0.5 mm; under this circumstance, y = 352.85 mg gallic acid equivalents (GA)/g, y = 300.204 mg rutin equivalents (RU)/g and their antioxidant potentials (y = 81.33%, y = 65.04%, and y = 71.01%) has been attained. ANFIS was used to compare and confirm the optimized extraction parameter values. Further, GC-MS and LC-MS were performed to investigate the bioactive chemicals present in the optimized extract.

Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-023-01351-9.