scholarly journals Optimization of Nitrate Removal from Aqueous Solution by Amine-functionalized MCM-41 Using Response Surface Methodology

2016 ◽  
Vol 148 ◽  
pp. 1239-1246 ◽  
Author(s):  
Yoke Loon Lau ◽  
Yin Fong Yeong
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Nitrate Removal ◽  
Amine Functionalized ◽  
Mcm 41

scholarly journals Modeling of nitrate removal from aqueous solution by Fe-doped TiO2 under UV and solar irradiation using response surface methodology

2015 ◽  
Vol 17 (2) ◽  
pp. 379-388 ◽  
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Solar Radiation ◽  
Response Surface ◽  
Removal Efficiency ◽  
Nitrate Removal ◽  
Operating Conditions ◽  
Solar Irradiation ◽  
Design Matrix ◽  
Statistical Tool

<div> <p>Nitrate is a common groundwater pollutant all over the world. In some regions of Iran, its levels are high enough to cause serious problems to human health and the environment<span dir="RTL">.</span> The objectives of this work were to evaluate the efficiency of Fe-doped TiO<sub>2</sub> nanoparticles at removing nitrate from aqueous solutions under UV and solar radiation and to model nitrate removal using response surface methodology techniques. In this study, a response surface methodology based on the Box&ndash;Behnken design matrix was used to describe the process of nitrate removal from an aqueous solution with four independent parameters, namely Fe-doped TiO<sub>2</sub> (dose 1-2 g l<sup>-1</sup>), nitrate concentration (25-100 mg l<sup>-1</sup>), contact time (10-120 min), and pH (4-9). The results indicated that the removal efficiency of nitrate in the presence of ultraviolet and solar radiation was 56.5 % and 21.8%, respectively. The removal efficiency of nitrate increased with time and initial concentration of nitrate. Analysis of variance (ANOVA) indicated that the proposed model was essentially in accordance with the experimental results with the correlation coefficient R<sup>2 </sup>= 0.9237 and Adj-R<sup>2</sup> = 0.8347. Response surface methodology (RSM) proved to be a powerful statistical tool for investigating the operating conditions for nitrate removal under UV irradiation.</p> </div> <p>&nbsp;</p>

Adsorption of Ni(II) using amine-functionalized MCM-41 optimized by response surface methodology

2015 ◽  
Vol 57 (18) ◽  
pp. 8526-8539 ◽  
Author(s):  
Shengxin Yang ◽  
Yunhai Wu ◽  
Ayinigaer Aierken ◽  
Meili Zhang ◽  
Yunying Wu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Amine Functionalized ◽  
Mcm 41

Synthesizing a surface-imprinted polymer based on the nanoreactor SBA-15 for optimizing the adsorption of salicylic acid from aqueous solution by response surface methodology

2021 ◽  
Vol 45 (14) ◽  
pp. 6192-6205
Author(s):  
Haiqing Xu ◽  
Yuhang Gao ◽  
Qiantu Tao ◽  
Aiping Li ◽  
Zhanchao Liu ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Salicylic Acid ◽  
Response Surface ◽  
Molecularly Imprinted Polymer ◽  
Adsorption Property ◽  
Mesoporous Structure ◽  
Imprinted Polymer ◽  
Molecularly Imprinted ◽  
Ordered Mesoporous

The molecularly imprinted polymer prepared on the nanoreactor SBA-15 displayed excellent ordered mesoporous structure and superior adsorption property for salicylic acid.

scholarly journals OPTIMIZATION OF LEVOFLOXACIN REMOVAL FROM AQUEOUS SOLUTION USING ELECTROCOAGULATION PROCESS BY RESPONSE SURFACE METHODOLOGY

2021 ◽  
Vol 52 (1) ◽  
pp. 204-217
Author(s):  
Mohammed & Mohammed-Ridha
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Correlation Coefficient ◽  
Iron Hydroxide ◽  
Second Order ◽  
Experimental Results ◽  
Order Kinetic ◽  
Experimental Conditions ◽  
Good Agreement

This study was aimed to investigate the response surface methodology (RSM) to evaluate the effects of various experimental conditions on the removal of levofloxacin (LVX) from the aqueous solution by means of electrocoagulation (EC) technique with stainless steel electrodes. The EC process was achieved successfully with the efficiency of LVX removal of 90%. The results obtained from the regression analysis, showed that the data of experiential are better fitted to the polynomial model of second-order with the predicted correlation coefficient (pred. R2) of 0.723, adjusted correlation coefficient (Adj. R2) of 0.907 and correlation coefficient values (R2) of 0.952. This shows that the predicted models and experimental values are in good agreement. The results of the kinetic study showed that the second-order kinetic model was in good agreement with the experimental results and suggested that the mechanism of chemisorption controlled the LVX adsorption. The experimental results indicated that the adsorption of LVX on iron hydroxide flocs follows Sips isotherm with the value of the correlation coefficient (R2) of 0.937. Sips isotherm shows that both homogenous and heterogeneous adsorption can occur.

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