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 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.

Production of Activated Carbon from Ligin: Optimization Using Response Surface Methodology

2011 ◽  
Vol 213 ◽  
pp. 427-431 ◽  
Author(s):  
Li Jiang ◽  
Fei Ma ◽  
Ai Jun Gu ◽  
Li Jun Zhang
Keyword(s):  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Chemical Activation ◽  
Technological Parameters ◽  
Activation Temperature ◽  
Surface Areas ◽  
Optimum Response ◽  
Temperature Activation ◽  
Central Composite

Activated carbon（AC）were prepared from lignin by chemical activation with sodium hydroxide（NaOH）. The influence of activation temperature，activation time and impregnation ration on the BET surface areas were investigated. Based on the central composite design (CCD) and response surface methodology(RSM)，the optimized technological parameters were as follows: temperature 751°C， time 57min and impregnation ration 2.06, BET surface areas was up to 1437.20 m2/g.The adequacy of the model equation for predicting the optimum response values was verified effectively by the validation.

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 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.

scholarly journals Analysis of boride layer thickness of borided AISI 430 by response surface methodology

2019 ◽  
Vol 9 (3) ◽  
pp. 39-44
Author(s):  
Turker Turkoglu ◽  
Irfan Ay
Keyword(s):  
Mathematical Model ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Layer Thickness ◽  
Boride Layer ◽  
Layer Formation ◽  
Face Centered ◽  
Boriding Process ◽  
Aisi 430 ◽  
Central Composite

The boriding process is a thermochemical surface treatment which can be applied to many iron and non-ferrous materials and improves the properties of the material such as hardness, wear resistance. In the present study, the layer thickness values of the boronized AISI 430 material were optimized using the Response Surface Methodology. Mathematical model was constructed using parameters such as temperature and time and the results were analyzed comparatively. As a result of the analysis, the optimum layer thickness value for AISI 430 material was obtained as 39.0183 µm for 1000 ºC and 5.9h and it was determined that the boriding temperature and time are effective on the boride layer formation process of AISI 430 material. Finally, the Response Surface Methodology and Face Centered Central Composite Design have been effectively applied to the boriding process.

scholarly journals Optimization of the Activated Carbon Preparation from Avocado Seeds, using the Response Surface Methodology

2019 ◽  
Vol 70 (2) ◽  
pp. 410-416 ◽  
Author(s):  
Tagne Tiegam Rufis Fregue ◽  
Ioana Ionel ◽  
Anagho Solomon Gabche ◽  
Alin-Cristian Mihaiuti
Keyword(s):  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Calcination Temperature ◽  
Potassium Hydroxide ◽  
Activated Carbons ◽  
Chemical Activation ◽  
Activating Agent ◽  
Electronic Microscope ◽  
Significant Factors

Avocado seeds based activated carbon was prepared using chemical activation method which consisted of potassium hydroxide treatment. The main factors influencing the preparation of activated carbons at the calcination temperature, the concentration of the activating agent and the duration of calcination were investigated. One used as a mathematical model the response surface methodology to correlate the response. The significant factors identified by the analysis of variance (ANOVA) through the t-test, the Pareto diagram and the diagrams of surfaces. The optimum avocado seeds based activated carbon was obtained by using calcination temperature of 450 oC, concentration of activating agent of 0.3 mol/L and time of calcination of 3.0 h, which resulted to an avocado seed based activated carbon iodine number remove of 1142.1 mg/g and yield of 75.09 %, by mass. The best activated carbon obtained under the previous conditions and the raw biomass was characterized by Fourier transform infrared and Scanning Electronic Microscope.

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