scholarly journals Evaluation of the Microsoft Excel Solver Spreadsheet-Based Program for Nonlinear Expressions of Adsorption Isotherm Models onto Magnetic Nanosorbent

2021 ◽  
Vol 11 (16) ◽  
pp. 7432
Author(s):  
Kowit Suwannahong ◽  
Surachai Wongcharee ◽  
Torpong Kreetachart ◽  
Chadrudee Sirilamduan ◽  
Javier Rioyo ◽  
...  

The sorption of basic dyes onto magnetic nanosorbent is commonly used as a novel material to combat powdered activated carbon, which is difficult to handle and separate during water and wastewater treatment. This adsorption method is commonly implemented in water and wastewater treatment due to its low cost and high performance. To explore the feasibility of adsorption, six different nonlinear isotherm models were applied and introduced to evaluate the performance and adsorption mechanisms via Microsoft Excel, and they were then compared to those of MATLAB and OriginPro. The Langmuir best provided the sorption of methylene blue adsorbed for a two-parameter isotherm model. The three-parameter model Toth gave a goodness of fit indicating a heterogeneous sorbent surface. Error function analysis found that the Residual Sum of Squares Error, Chi-square, Coefficient of determination, Average Relative Error, Hybrid Fractional Error Function, Marquardt’s Percent Standard Deviation and Root Mean Square Error provided the best overall results. In comparison, it could be concluded that six isotherm models showed the confidence interval that is simply the best fit at all experimental data points provided by the three software tools. All error function results indicated that the Microsoft Excel Solver function spreadsheet method satisfied all the statistic measures to predict the real variance of the probability of experimental data for all six isotherm models of adsorption of basic dye removal. One added benefit of this Microsoft Excel software tool is the built-in function associated with the desired type of application, which designates the desired type of error/statistical functions not mentioned in this research to the adsorbent materials used.

2015 ◽  
Vol 4 (0) ◽  
pp. 9781780402840-9781780402840
Author(s):  
H. Hahn ◽  
E. Hoffman ◽  
H. Odegaard

1989 ◽  
Vol 21 (2) ◽  
pp. 189-193 ◽  
Author(s):  
B. Rigden

The design of a reverse osmosis desalination unit and a rotating biological contactor for water and wastewater treatment for a small island resort is described. Some operational data are presented and recommendations for design flows and loadings are made.


2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Péter Sipos

AbstractStudies comparing numerous sorption curve models and different error functions are lacking completely for soil-metal adsorption systems. We aimed to fill this gap by studying several isotherm models and error functions on soil-metal systems with different sorption curve types. The combination of fifteen sorption curve models and seven error functions were studied for Cd, Cu, Pb, and Zn in competitive systems in four soils with different geochemical properties. Statistical calculations were carried out to compare the results of the minimizing procedures and the fit of the sorption curve models. Although different sorption models and error functions may provide some variation in fitting the models to the experimental data, these differences are mostly not significant statistically. Several sorption models showed very good performances (Brouers-Sotolongo, Sips, Hill, Langmuir-Freundlich) for varying sorption curve types in the studied soil-metal systems, and further models can be suggested for certain sorption curve types. The ERRSQ error function exhibited the lowest error distribution between the experimental data and predicted sorption curves for almost each studied cases. Consequently, their combined use could be suggested for the study of metal sorption in the studied soils. Besides testing more than one sorption isotherm model and error function combination, evaluating the shape of the sorption curve and excluding non-adsorption processes could be advised for reliable data evaluation in soil-metal sorption system.


Chemosphere ◽  
2021 ◽  
pp. 131573
Author(s):  
Vanessa M. Vasconcelos ◽  
Géssica O.S. Santos ◽  
Katlin I.B. Eguiluz ◽  
Giancarlo R. Salazar-Banda ◽  
Iara de Fatima Gimenez

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