scholarly journals Study on optimal adsorption conditions of norfloxacin in water based on response surface methodology

2022 ◽  
Author(s):  
Ming Zhang ◽  
Kuo Zhang ◽  
Jinpeng Wang ◽  
Runjuan Zhou ◽  
Jiyuan Li ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Reaction Temperature ◽  
Polynomial Regression ◽  
Single Factor ◽  
Solution Ph ◽  
Box Behnken Design ◽  
Simulated Wastewater ◽  
Predicted Values ◽  
Single Factor Experiment

Abstract The waste pomelo peel was pyrolyzed at 400 °C to prepare biochar and used as adsorbent to remove norfloxacin (NOR) from simulated wastewater. The adsorption conditions of norfloxacin by biochar were optimized by response surface methodology (RSM). On the basis of single-factor experiment, the adsorption conditions of biochar dosage, solution pH and reaction temperature were optimized by Box-Behnken Design (BBD), and the quadratic polynomial regression model of response value Y1 (NOR removal efficiency) and Y2 (NOR adsorption capacity) were obtained respectively. The results show that the two models are reasonable and reliable. The influence of single factor was as follows: solution pH > biochar dosage > reaction temperature. The interaction between biochar dosage and solution pH was very significant. The optimal adsorption conditions after optimization were as follows: biochar dosage = 0.5 g/L, solution pH = 3, and reaction temperature = 45 °C. The Y1 and Y2 obtained in the verification experiment were 75.68% and 3.0272 mg/g, respectively, which were only 2.38% and 0.0242 mg/g different from the theoretical predicted values of the model. Therefore, the theoretical model constructed by response surface methodology can be used to optimize the adsorption conditions of norfloxacin in water.

Optimization of Lactose Content in the Row Milk by Colorimetry via Response Surface Methodology

2014 ◽  
Vol 997 ◽  
pp. 38-42
Author(s):  
Jian Ting Ning ◽  
Jun Rui Wu ◽  
Xi Qing Yue
Keyword(s):  
Mathematical Model ◽  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Reaction Temperature ◽  
Raw Milk ◽  
Single Factor ◽  
Optimum Extraction ◽  
Single Factor Experiment

The lactose content in the raw milk by colorimetry was introduced in the paper.On the single-factor experiment basis, it used response surface methodology to establish a quadratic mathematical model of lactose content. After analyzing the significance of the various factors and interactions, the results showed the optimum extraction conditions of detecting lactose content by colorimetry were as follows: reaction temperature 100°C, reaction time 5.2min, amount of precipitation 2.9 mL. In order to verify the method’s accuracy, five kinds of raw milk were chosen to test. The results showed the recoveries were between 97.122%-101.294%, so it is feasible to determine the content of lactose in raw milk.

scholarly journals Optimization of Prebiotics and Oxygen Scavengers for Bifidobacterium bifidum BB01 Microcapsules by Response Surface Methodology

2018 ◽  
Vol 22 (1) ◽  
pp. 3-12
Author(s):  
Yilin Li ◽  
Guowei Shu ◽  
Yichao Li ◽  
Yu Liu ◽  
Yajuan Song
Keyword(s):  
Ascorbic Acid ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Screening Test ◽  
Xanthan Gum ◽  
Bifidobacterium Bifidum ◽  
Single Factor ◽  
Optimum Conditions ◽  
Oxygen Scavengers ◽  
Single Factor Experiment

Abstract The effects of different prebiotics and oxygen scavengers on making the process of xanthan gum and chitosan (XC) Bifidobacterium bifidum BB01 microcapsules were studied by single factor experiment and Plackett-Burman screening test, ascorbic acid, sodium erythorbate and xylo-oligosaccharide had significant effects. Based on the previous studies, the process XC B. Bifidum BB01 microcapsules were further optimized by Box-Behnken model in this study. Response surface analysis showed that the best additive amoumt of ascorbic acid, sodium erythorbate and xylo-oligosaccharide were 3.0%, 2.36% and 4.99%, respectively. The viable counts of B. Bifidum BB01 microcapsules reached to 1.52×1010CFU/g from 1.25×1010 CFU/g, the encapsulation yield reached to 94.88% from 90% under the optimum conditions. It provided the research foundation for the afterward production and exploration of the process XC B. Bifidum BB01 microcapsules.

scholarly journals A cleaner production of diosgenin from Dioscorea Zingiberensis Wright biotransformed by Lactobacillus casei

2017 ◽  
pp. 760
Author(s):  
He Chen ◽  
Zhuo Wang ◽  
Guowei Shu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Conversion Rate ◽  
Lactobacillus Casei ◽  
Inoculum Size ◽  
Cleaner Production ◽  
Single Factor ◽  
Fermentation Conditions ◽  
Predicted Values ◽  
Factor Variable

The effect of 24 probiotics on disogenin production had been conducted in our preliminary work. Consequently, Lactobacillus casei was selected as the fermentation strain with high potential in biotransformation and effects of main parameters on biotransformation were verified through single factor variable experiments. The fermentation conditions were optimized using response surface methodology, which would be helpful to enhance biotransformation efficiency and achieve a high-valued utilization of DZW in diosgenin production. Single factor variable experiments indicated that biotransformation was highly depend on temperature. The conversion rate of saponin reached to (22.1 ± 0.6) %, (15.5 ± 0.3) % and (17.0 ± 0.4) % under each optimal condition of 43°C, 24 hours and 4% inoculum size respectively. According to results of single factor variable experiments, fermentation conditions were optimized through response surface methodology. The 32.4% of conversion rate and 3.95 µg/mL of diosgenin concentration were predicted to be optimal value under the condition of 42°C, 27 hours, 3% inoculum size. The verification results were (32.8 ± 0.9)% of conversion rate and (4.01±0.02) µg/mL of diosgenin concentration under the same conditions, which were close to the predicted values. The conversion rate increased by 41.9% compared to the initial value. Feasibility of converting saponin to diosgenin through probiotics by biotransformation was verified in this paper and the results could be the reference for a cleaner production of diosgenin.

scholarly journals Optimization of Methylene Blue Adsorption on Agricultural Solid Waste Using Box–Behnken Design (BBD) Combined with Response Surface Methodology (RSM) Modeling

2021 ◽  
Vol 12 (4) ◽  
pp. 4567-4583
Keyword(s):  
Methylene Blue ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Organic Dyes ◽  
Low Cost ◽  
Sem Analysis ◽  
Solution Ph ◽  
Box Behnken Design ◽  
Mb Adsorption

Tunics corm saffron (TCS) is a low-cost adsorbent that removes methylene blue (MB) from an aqueous solution. The TCS was characterized using FTIR and SEM analysis. The influence of MB adsorption variables such as TCS dose (0.4–2.4 g L−1), contact time (0–120 min), MB dye concentration (100–500 mg L−1) was optimized Box–Behnken design (BBD) combined with response surface methodology (RSM) modeling. All three variables among the main parameters significantly affected the removal efficiency by applying the quadratic regression analysis. The results showed that the predicted values for MB adsorption were close to the experimental values and were in good agreement. Besides, the r2 value (r2=0.970) indicates that the regression can predict response for the adsorption process in the studied range. The optimum BBD-RSM for MB removal of 89.48 % was recorded at a TCS dose of 1.78 g L−1, contact time of 56 min, MB dye concentration of 176 mg L–1 at solution pH of 5.4 temperature 21 °C. Excellent regeneration of TCS to remove MB in sixth consecutive adsorption-desorption cycles. This work highlights that TCS offers tremendous potential as a low-cost for organic dyes removal from wastewaters.

scholarly journals Optimization of Remazol Black B Removal Using Biochar Produced from Caulerpa scalpelliformis Using Response Surface Methodology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
R. Gokulan ◽  
S. Balaji ◽  
P. Sivaprakasam
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Dye Removal ◽  
Regression Coefficient ◽  
Process Conditions ◽  
Waste Biomass ◽  
Solution Ph ◽  
Box Behnken Design ◽  
Remazol Black B ◽  
Remazol Black

Optimization of process conditions for the removal of Remazol Black B was investigated using response surface methodology (Box–Behnken design). The biodecolorization of dye was studied using biochar produced from waste biomass of Caulerpa scalpelliformis (marine seaweeds). The reactions were optimized by varying sorbent dosage, solution pH, temperature, and initial dye concentration. The results indicated that dye removal efficiency of 80.30% was attained at an operating condition of 4 g/L (sorbent dosage), 2.0 (solution pH), 35°C (temperature), and 0.25 mmol/L (initial dye concentration). The regression coefficient of the developed model was calculated to be 97% which shows good fit of the model.

scholarly journals OPTIMIZATION AND CHARACTERIZATION OF CHITOSAN-BASED NANOPARTICLES CONTAINING METHYLPREDNISOLONE USING BOX-BEHNKEN DESIGN FOR THE TREATMENT OF CROHN’S DISEASE

2019 ◽  
pp. 12-23
Author(s):  
GANESH N. SHARMA ◽  
C. H. PRAVEEN KUMAR ◽  
BIRENDRA SHRIVASTAVA ◽  
B. KUMAR
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Encapsulation Efficiency ◽  
Release Mechanism ◽  
Box Behnken Design ◽  
Fed State ◽  
Drug Release Mechanism ◽  
Predicted Values

Objective: The present research was designed to produce methylprednisolone containing chitosan-based nanoparticles using Box-Behnken Design (BBD) and Response Surface Methodology (RSM) for optimization. Methods: Nanostructures were prepared using the ionic gelation method with screened process parameters. According to the design, methylprednisolone chitosan-based nanoparticles (MCSNPs) were optimized using factors like methylprednisolone concentration, stirring speed and temperature whereas particle size, zeta potential and % encapsulation efficiency as responses. From the observed values of responses with confirmation location and desirability, the predicted values were very close to the observed values. Results: Observed values for the optimized formulation have a particle size of 243±2.33 nm with an encapsulation efficiency of 79.3±7.2%. Morphology of the particles using scanning electron microscopy reveals nearly spherical shaped particles. Methylprednisolone was released in vitro in a sustained manner for about 24 h in simulated colonic fluid pH 7, pH 7.8 (Fasted state) and phosphate buffer pH 7.4, when compared to simulated colonic fluid at pH 6 (Fed state). Optimized MCSNPs followed Korsmeyer peppas kinetics with drug release mechanism as anomalous transport. Conclusion: Application of Box-Behnken design and Response Surface Methodology using Design Expert software was successfully used in the optimization of methylprednisolone loaded chitosan-based nanoparticles with high encapsulation efficiency.

Optimization studies on Biosorption of Copper (II) by Crab Shell Using Response Surface Methodology(RSM)

2010 ◽  
Vol 5 (1) ◽  
Author(s):  
Sudesh S ◽  
Meenakshi M ◽  
Sheeja R.Y ◽  
Thanapalan Murugesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Crab Shell ◽  
Box Behnken Design ◽  
Initial Ph ◽  
Predicted Values ◽  
Experimental Values ◽  
The Individual ◽  
Maximum Removal ◽  
Good Agreement

In the present work, crab shell was used as the biosorbent to remove copper from aqueous solution. Batch experiments were performed at different initial copper concentration of copper solutions (1-40 g/l), initial pH (2-9), temperature (20-400°C), and biosorbent dosages (2-10 g/l). The maximum removal of copper using crab shell occurred at a pH of 3 and at a temperature of 400°C using an optimum biosorbent dosage of 5 g/l. A mathematical model was proposed to identify the effects of the individual interactions of these variables on the biosorption of copper. The results have been modeled using response surface methodology using a Box-Behnken design. The response surface method was developed using three levels (-1, 0, +1) with the above mentioned four factors. The second order quadratic regression model fitted the experimental data with Prob > F to be < 0.0001. The experimental values were found to be in good agreement with the predicted values, with a satisfactory correlation coefficient of R2 = 0.9999.

Optimization of Malachite Green by KOH-Modified Grapefruit Peel Activated Carbon: Application of Response Surface Methodology

2014 ◽  
Vol 529 ◽  
pp. 611-615 ◽  
Author(s):  
Liu Dan Luo ◽  
Hai Yi Huang ◽  
Jian Hong Bi ◽  
Lang Lang Tan ◽  
Hua Zhang ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Malachite Green ◽  
Potassium Hydroxide ◽  
Single Factor ◽  
Grapefruit Peel ◽  
Central Composite ◽  
Single Factor Experiment

Response surface methodology (RSM) was utilized to optimize the best adsorbent conditions on Malachite Green in wastewater by the activated carbon which has been prepared from grapefruit peel with potassium hydroxide activating. Built on single-factor experiment, adsorbent dosage, pH, initial MG concentration and temperature were chosen as influencing factors during adsorption. The experimental mathematical model was arranged according to central composite design (CCD). The results shown that the best conditions were pH 9, initial MG concentration of 2000 mg/L, 1 g/L dosage of KAC and 40°C. Maximum absorption was 1944.35 mg/L.

Optimization of Poly(phenylene sulfoxide ether sulfide ether) Synthesis by Response Surface Methodology

2014 ◽  
Vol 703 ◽  
pp. 77-85
Author(s):  
Ai Qun Gu ◽  
Zuo Cai Li ◽  
Shu Ling Liu ◽  
Cong Li Fu ◽  
Zi Li Yu
Keyword(s):  
Molecular Weight ◽  
Response Surface Methodology ◽  
Response Surface ◽  
High Molecular Weight ◽  
Reaction Temperature ◽  
Monomer Concentration ◽  
Predicted Values ◽  
Yield Responses ◽  
Ether Synthesis ◽  
Ultimate Purpose

To increase the molecular weight of poly (phenylene sulfide ether) (PPSE), a novel route has been developed via the reduction of poly (phenylene sulfoxide ether sulfide ether) (PPSOESE) precursor. The synthesis of high molecular weight PPSOESE is essential for the ultimate purpose. Effects of process parameters on preparation of PPSOESE were firstly investigated and the optimization was performed by response surface methodology (RSM). Average number molecular weight (Mn) and Yield of PPSOESE were defined as the experimental responses. The statistical analyses indicate that the most significant factor is monomer concentration, followed by reaction temperature and the interaction of reaction temperature • monomer concentration. Under optimal conditions, the and Yield responses were obtained as 1.78 ×104±1.02 % and 93.6±1.3 %, which are in agreement with the predicted values of 1.80 ×104and 95.4 %, respectively. Structure of PPSOESE was also characterized. The highest intrinsic viscosity and yield of PPSE by the reduction of PPSOESE reached to 0.78 dL/g and 93.2%, respectively, much greater than the reported results. The work is helpful for forthcoming preparation and study of high molecular weight PPSE.

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