Response surface methodology to optimize gradient ion chromatographic separation of inorganic anions and organic acids in tobacco leaves

2011 ◽  
Vol 22 (12) ◽  
pp. 1465-1468 ◽  
Author(s):  
Rui Qi Wang ◽  
Na Ni Wang ◽  
Jia Jie Zhang ◽  
Yan Zhu
Keyword(s):  
Response Surface Methodology ◽  
Organic Acids ◽  
Response Surface ◽  
Chromatographic Separation ◽  
Inorganic Anions ◽  
Tobacco Leaves

scholarly journals Intensification of Azo Dye Removal Rate in the Presence of Immobilized Nanoparticles and Inorganic Anions under UV-C Irradiation: Optimization by Response Surface Methodology

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad A. Behnajady ◽  
Mahsa Hajiahmadi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Azo Dye ◽  
Dye Removal ◽  
Removal Rate ◽  
Organic Pollutant ◽  
Inorganic Anions ◽  
Coefficient Of Determination ◽  
Synergy Effect ◽  
Uv C

Wastewaters contain inorganic anions that affect the removal rate of organic pollutants. The present study aims to optimize the effects of inorganic anions such as , Cl−, , and on the removal rate of an organic pollutant in the presence of immobilized TiO2nanoparticles using response surface methodology (RSM). C.I. Acid Red 17 (AR17) was used as a model organic pollutant. Thirty experiments were required to study the effects of anions in various concentrations. The results indicate that the addition of and ions intensifies the removal rate of AR17. The results of the analysis of variance (ANOVA) showed a high coefficient of determination value ( and ). The results indicate that RSM is a suitable method for modeling and optimizing the process. The results prove that in the presence of and and ions especially in the combination situation the removal rate of AR17 is enhanced considerably. An important synergy effect was observed in the combination of and ions, so that AR17 removal percent under the optimized RSM conditions was considerably more than the sum of removal percent when these ions are used individually.

scholarly journals Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1441
Author(s):  
Panagiota Tsafrakidou ◽  
Konstantina Tsigkou ◽  
Argyro Bekatorou ◽  
Maria Kanellaki ◽  
Athanasios A. Koutinas
Keyword(s):  
Response Surface Methodology ◽  
Organic Acids ◽  
Response Surface ◽  
Lignocellulosic Biomass ◽  
Immobilized Cells ◽  
Effect Of Temperature ◽  
Quadratic Effect ◽  
Linear Effect ◽  
Acidogenic Fermentation ◽  
Initial Ph

Response surface methodology was used to derive a prediction model for organic acids production by anaerobic acidogenic fermentation of cellobiose, using a mixed culture immobilized on γ-alumina. Three parameters (substrate concentration, temperature, and initial pH) were evaluated. In order to determine the limits of the parameters, preliminary experiments at 37 °C were conducted using substrates of various cellobiose concentrations and pH values. Cellobiose was used as a model sugar for subsequent experiments with lignocellulosic biomass. The culture was well adapted to cellobiose by successive subculturing at 37 °C in synthetic media (with 100:5:1 COD:N:P ratio). The experimental data of successive batch fermentations were fitted into a polynomial model for the total organic acids concentration in order to derive a predictive model that could be utilized as a tool to predict fermentation results when lignocellulosic biomass is used as a substrate. The quadratic effect of temperature was the most significant, followed by the quadratic effect of initial pH and the linear effect of cellobiose concentration. The results corroborated the validity and effectiveness of the model.

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