Synthesis and inhibition of N-alkyl-2-(4-hydroxybut-2-ynyl) pyridinium bromide for mild steel in acid solution: Box–Behnken design optimization and mechanism probe
“…To understand the nature of fitting, a normal probability plot could be applied to the residuals, i.e., the difference between the predicted and experimental values [32]. Figure 4a revealed that the residuals appeared to follow a straight grade, indicating that neither response transformation was required, nor was there any apparent problem with normality [33], thus affirming the analytical hypothesis.…”
Section: Analysis Of Normal Probability Plotmentioning
confidence: 84%
“…To understand the nature of fitting, a normal probability plot could be applied to the residuals, i.e., the difference between the predicted and experimental values [32]. Figure 4a revealed that the …”
Section: Analysis Of Normal Probability Plotmentioning
Abstract:The subcritical water extraction (SWE) is a high-efficiency and environment-friendly extraction method. The extraction of resveratrol (RES) of grape seeds obtained from the wine production process was proposed using subcritical water extraction (SWE). The effects of different extraction process parameters on RES yield were investigated by single factors. Extraction optimization was conducted using response surface methodology (RSM). Extraction temperature was proven to be the most significant factor influencing RES yield. The optimal conditions was as follows: extraction pressure of 1.02 MPa, temperature of 152.32 • C, time of 24.89 min, and a solid/solvent ratio of 1:15 g/mL. Under these optimal conditions, the predicted extraction RES yield was 6.90 µg/g and the recoveries was up to 91.98%. Compared to other previous studies, this method required less pollution and less treatment time to extract RES from grape seeds. From these results, added economic value to this agroindustrial residue is proposed using environmentally friendly extraction techniques.
“…To understand the nature of fitting, a normal probability plot could be applied to the residuals, i.e., the difference between the predicted and experimental values [32]. Figure 4a revealed that the residuals appeared to follow a straight grade, indicating that neither response transformation was required, nor was there any apparent problem with normality [33], thus affirming the analytical hypothesis.…”
Section: Analysis Of Normal Probability Plotmentioning
confidence: 84%
“…To understand the nature of fitting, a normal probability plot could be applied to the residuals, i.e., the difference between the predicted and experimental values [32]. Figure 4a revealed that the …”
Section: Analysis Of Normal Probability Plotmentioning
Abstract:The subcritical water extraction (SWE) is a high-efficiency and environment-friendly extraction method. The extraction of resveratrol (RES) of grape seeds obtained from the wine production process was proposed using subcritical water extraction (SWE). The effects of different extraction process parameters on RES yield were investigated by single factors. Extraction optimization was conducted using response surface methodology (RSM). Extraction temperature was proven to be the most significant factor influencing RES yield. The optimal conditions was as follows: extraction pressure of 1.02 MPa, temperature of 152.32 • C, time of 24.89 min, and a solid/solvent ratio of 1:15 g/mL. Under these optimal conditions, the predicted extraction RES yield was 6.90 µg/g and the recoveries was up to 91.98%. Compared to other previous studies, this method required less pollution and less treatment time to extract RES from grape seeds. From these results, added economic value to this agroindustrial residue is proposed using environmentally friendly extraction techniques.
“…The second-order quadratic polynomial regression model represented by Eq. (1) was fitted to the data of CBY, BC, and HRT, respectively [34,35]. Where Z, predicted response, A, B and C, independent variables, βo is the intercept term, α 1 ,α 2 , α 3 , are the linear coefficients, α 11 ,α 22 , α 33 , the quadratic coefficients, and α 12 ,α 13 , α 23 , the interaction coefficients.…”
Section: Statistical Design Of Experimentsmentioning
Background:The indiscriminate discharge of industrial waste, agricultural-biomass waste, waste of municipal, domestic and kitchen waste has negatively impacted on the environment and human health. It is very pertinent to reduce these impacts to the barest minimum through conversion of the waste to useful products. The conversion of these wastes to generate alternative energy to fossil fuel through the technology of anaerobic fermentation is one of the viable and more fascinating options for the management of waste.
Objective:To investigate the interactive effect and optimization of process parameters of temperature, total solid content and feed/inoculum ratio on the biomethanization of the mixture of cattle manure, pig manure and poultry manure in co-digestion with waste peels of pineapple fruit and content of chicken-gizzard.
Method:Full-factorial central composite design of experiment (RCCD) of the response surface method (RSM) was adopted to assess the possible interactive effects of the process variables and the optimal parameters (i.e. optimization) for biogas/biomethane production in an anaerobic digester.
Result:The process variables had a significant (P < 0.05) positive and negative interactive effect on the biomethanization process. A secondorder quadratic polynomial regression model which is statistically significant (p < 0.0001) was respectively obtained for cumulative biogas yield (CBY), biomethane content (BC) and hydraulic retention time (HRT). Temperature of 55.2°C; total solid content of 6.25%; and feed/inoculums ratio of 1:2 were found to be the optimum values required to attain a predicted optimum values of 6.261 dm 3 /g CBY, 71.54% BC within a minimum 8 days of HRT. At this optimum process conditions, the experimental observed maximum CBY, and BC with a minimum HRT were found to be 6.217 dm 3 /g of slurry, 71.10% and 7 days, respectively.
Conclusion:Biogas/biomethane generation through co-substrate anaerobic fermentation of animal waste with waste of fruits constitute a reasonable and applicable renewable energy alternative and this can be optimized through response surface methodology.
“…Compared to CCD, another RMS-based method, Box-Behnken design, has the advantages of a reduction in the number of experiments and no experiments are performed under extreme conditions [15]. It has been successfully applied for the optimization of various processes, such as solvent extraction [16,17], adsorption [18,19], and material synthesis [20,21].…”
Solid acid catalysts were synthesized from macroalgae Sargassum horneri via hydrothermal carbonization followed by sulfuric acid sulfonation. A three-variable Box-Behnken design and optimization was used to maximize surface acidity. The optimal preparation conditions were found to be at the carbonization temperature of 217 °C, the carbonization time of 4.6 h and the sulfonation temperature of 108.5 °C. Under these conditions, the highest surface acidity achieved was 1.62 mmol g −1 .Physical and chemical properties of prepared solid acid catalyst were characterized by powder X-ray diffraction (PXRD), Fourier transform infrared (FTIR) spectroscopy, and elemental analysis. The results proved the grafting of -SO 3 H groups on an amorphous carbon structure. The catalyst activity was evaluated by the esterification of oleic acid with methanol. The sample prepared achieved 96.6% esterification yield, which was higher than the 86.7% yield achieved by commercial Ambersyst-15 under the same reaction conditions.
Graphical Abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.