Isolation of bioactive components with soluble epoxide hydrolase inhibitory activity from Stachys sieboldii MiQ. by ultrasonic-assisted extraction optimized using response surface methodology

Evaluation of the Antiwrinkle Activity of Enriched Isatidis Folium Extract and an HPLC–UV Method for the Quality Control of Its Cream Products

“…From Figure S6a , the predicted and actual data plots were distributed near the line, which revealed that the proposed model was excellently fitted. Figure S6b shows that the residual plots were randomly scattered, which demonstrated that the variance of the experimental results was consistent for all response values [ 26 , 31 ].…”

“…From the results of single-factor experiments, the extraction temperature had no significant effect on TMCA extraction ( p > 0.05), and the two main empirical parameters of sonication time (A) and methanol-to-material ratio (B) were further optimized using response surface methodology (RSM) by central composite design (CCD). RSM is an all-powerful approach to optimize different extract conditions for obtaining the best response values [ 26 , 27 ]. Thirteen designed experiments were accomplished and the response values (the content of TMCA) are listed in Table 2 .…”

Optimization of Ultrasonic-Assisted Extraction of α-Glucosidase Inhibitors from Dryopteris crassirhizoma Using Artificial Neural Network and Response Surface Methodology

“…Compound 2 (10.1 mg) was isolated from fraction C (4.1 g) by reserved-phase C18 CC using MeOH-H 2 O (4:1, v/v) as the eluent, followed by preparative HPLC (isocratic mixture solvent 66% MeOH in distilled H 2 O, 6 mL/min over 60 min). Both 1 H and 13 C-NMR spectra of compounds 1 and 2 were obtained using the Bruker NMR spectrometer.…”

“…Recently, ultrasonic-assisted extraction (UAE) has been demonstrated to be an environmentally friendly, productive, inexpensive, simple, and green extraction method [13]. Furthermore, compared with traditional extraction methods, such as maceration, Soxhlet, and percolation, UAE shows a higher recovery of bioactive components and requires a lower amount of organic solvent, lower temperature, and shorter extraction time.…”

“…Moreover, novel multivariate analysis methodologies, such as artificial neural network (ANN) and response surface methodology (RSM), may be used to confirm the independent and interactive effects of these factors and optimize extraction conditions. RSM, a commonly used statistical tool in analytical optimization, can examine the effect of single or multiple variables on the target response by developing a quadratic equation [13,16]. ANN is a new popular non-linear computational modeling method that demonstrates satisfactory capability and flexibility in data fitting, optimization, and prediction; thus, it has been used as a complementary model with RSM for the optimization of the extraction of bioactive components in chemical engineering [17][18][19].…”