scholarly journals Optimization of Silicon Leaching for White Carbon Black Preparation from Vanadium-Extraction Residue Using Response Surface Methodology

2020 ◽  
Vol 71 (8) ◽  
pp. 206-219
Author(s):  
Shun Wang ◽  
Shenxu Bao ◽  
Yimin Zhang ◽  
Yizhong Yuan

Vanadium-extraction residue (VER) is rich in silicon and the high temperature and high pressure alkali leaching can be used to prepare white carbon black (WCB). The effects of the mass ratio of alkali to slag, liquid-solid ratio, reaction temperature and reaction time on the silica leaching ratio were investigated. Response surface methodology was used to analyze the interaction of these main leaching parameters and the final regression equation can be obtained. By using the regression equation, the leaching schemes can be designed as the maximum leaching ratio of silica was set, thereby the optimal leaching parameters also can be obtained to reduce the leaching cost. Repeated experiments showed that the optimized leaching ratio can reach 95.26% which was just lower the predicted value by 2.17%, indicating that the regression equation was reliable to be used to optimize the leaching process. The WCB product with specific surface area of 105.1 m2/g was verified by XRD and FTIR.

2020 ◽  
Vol 14 (4) ◽  
pp. 572-582
Author(s):  
Soumaya Hachani ◽  
◽  
Sarah Boukhalkhal ◽  
Ziyad Ben Ahmed ◽  
Mohamed Harrat ◽  
...  

The Box-Behnken design was used to investigate the effect of three independent variables – time, temperature and solvent-to-solid ratio on the responses of total phenolics, total flavonoids, 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging activity and cupric ion reducing antioxidant capacity (CUPRAC) of date fruit methanolic extracts. Response surface analysis showed that the optimal ultrasound extraction parameters that maximized the responses were 30 min, 298 K and 74.4 ml/g. Under optimum conditions, UHPLC-DAD-MS/MS was used to tentatively characterize 11 phenolic compounds. The experimental values for the quantification of phenolic compounds and antioxidant activities are in accordance with the predicted values, indicating the suitability of the model and the success of response surface methodology in optimizing the ultrasound extraction conditions.


2015 ◽  
Vol 74 ◽  
pp. 381-387 ◽  
Author(s):  
Yalda Davoudpour ◽  
Sohrab Hossain ◽  
H.P.S. Abdul Khalil ◽  
M.K. Mohamad Haafiz ◽  
Z.A. Mohd Ishak ◽  
...  

2020 ◽  
Vol 19 (3) ◽  
pp. 623-628
Author(s):  
ZhengNan Zhao ◽  
XiangLong Yang ◽  
Maoxun Li ◽  
Fang Yu ◽  
HaiDong Liang

Purpose: To maximize the yield of extract from Eucommia ulmoides Oliver and its effect on bone quality. Methods: Different extraction indices were optimized with response surface methodology (RSM) for maximization of extract yield from Eucommia ulmoides Oliver. Box–Behnken design (BBD) was used to identify the effects of temperature, time, and liquid to solid ratio on extract yield from Eucommia ulmoides Oliver. After 4-week acclimatization, thiry-two rats were randomly assigned to 4 groups (n = 8): group 1 (sham) given vehicle only; group 2 (OVX rats given Eucommia ulmoides Oliver extract at a dose of 4 g/kg; group 3 (OVX + vehicle); group 4 (OVX + EUOE), i.e., OVX rats given Eucommia ulmoides Oliver extract (4 g/kg). Sham rats had intact ovaries. After surgery, the rats received gentamicin intramuscularly for 3 successive days. Two months after surgery, blood and trabecular bones was taken for analysis. Results: Temperature and liquid-to-solid ratio had marked impact on extract yield from Eucommia ulmoides Oliver, with the best conditions being temperature of 88 °C, time of 137 min, and liquid to solid ratio 16:1. Using these optimized conditions, the maximum yield of extract obtained experimentally (2.53%) was very close to the predicted value of 2.49 %. There was a good fit between the mathematical model evolved and the data on extract yield. The extract significantly (p < 0.01) increased the Ca and P and Cr levels in OVX + EUOE group compared to those in OVX control. Moreover, the extract significantly (p < 0.01) increased macro-mechanical indices of trabecular bone in OVX+EUOE group, relative to those in OVX control. Conclusion: The yield of Eucommia ulmoides Oliver extract has been successfully optimized using RSM. The extract exhibited strong effects on bone quality. Keywords: Optimization, Eucommia ulmoides, Box–Behnken design, Response surface methodology, Bone loss, Gene


2019 ◽  
Vol 31 (5) ◽  
pp. 1045-1048
Author(s):  
Quang Thuong Tran ◽  
Loan Thi Thanh Vu ◽  
Tram Huyen Le ◽  
Ly Thi Phuong Giang ◽  
Toyonobu Usuki

The objective of this study was to evaluate the effects of extraction parameters (ethanol concentration, extraction ratio of solvent to raw material and extraction time) on the yield of spinosin from the seeds of Ziziphus mauritiana Lam. Box-Behnken factorial design was used in association with response surface methodology. The optimal extraction conditions were an ethanol concentration of 61 %, 40 (v/w) liquid-to-solid ratio, and 2.6 h extraction time with reflux. Spinosin was purified using Diaion HP20SS as an adsorbent. The maximum spinosin yield was 1.18 mg/g raw material. Present findings can be applied to future approaches for maximizing the extraction of spinosin from Z. mauritiana Lam. seeds.


Author(s):  
Bao Zhang ◽  
Yunzhong Chen ◽  
Xuefei Wei ◽  
Mingqi Li ◽  
Mengjin Wang

The effects of liquid-solid ratio, acetic acid concentration and extraction time on the yield of acid-soluble collagen(ASC) from the swim bladders of grass carp were optimized by statistical analysis using response surface methodology. The response surface methodology (RSM) was used to optimize the yield of ASC by implementing the Box-Wilson design. Statistical analysis of the results showed that the linear and quadric terms of these three variables had significant effects. However, no interactions between the three variables were found to contribute to the response at a significant level. The optimal conditions for higher yield of ASC were a liquid-solid ratio of 17.85, an acetic-acid concentration of 0.54 M and a time of 34 h. Under these conditions, the model predicted an ASC yield of 8.39%. Verification of the optimization showed that an ASC yield of 8.21±0.15% was observed under the optimal conditions. The experimental values agreed with the predicted values, using analysis of variance, indicating an excellent fit of the model used and the success of response surface methodology for modeling extraction of ASC from the swim bladders of grass carp.


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