scholarly journals Kinetic Analysis of the Adsorption of Ethyl Violet onto Graphene Oxide Sheets Integrated with Gold Nanoparticles

2021 ◽  
Vol 9 (2) ◽  
pp. 35-39
Author(s):  
Bilal Ibrahim Dan-Iya ◽  
Ain Aqilah Basirun ◽  
Mohd Yunus Shukor
Keyword(s):  
Graphene Oxide ◽  
Confidence Interval ◽  
Information Criterion ◽  
Cost Effective ◽  
Order Rate Constant ◽  
Coefficient Of Determination ◽  
Order Model ◽  
Ethyl Violet ◽  
Bias Factor ◽  
Pseudo Second Order

An example of biosorption is when the sorbent is made from a biodegradable material. Biosorption is now being seen as a simple, cost-effective, and environmentally acceptable alternative to traditional pollution treatment methods. Bioremediation is one of the branches of bioremediation that is used to minimise pollution in the context of incorrect dye waste disposal. The sorption isotherm of Ethyl Violet onto graphene oxide were analyzed using three models—pseudo-1st, pseudo-2nd and Elovich, and fitted using non-linear regression. Statistical analysis based on root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), corrected AICc (Akaike Information Criterion), Bayesian Information Criterion (BIC) and Hannan–Quinn information criterion (HQC) that showed that the pseudo-second-order model was the best which was the same finding from the original published work. The calculated evidence ratio was 11 with an AICc probability value of 0.91 indicating that the best model was at least 11 times better than the nearest best model, which was pseudo-1st. Further analysis is needed to provide proof for the mechanism usually tied to this kinetic. Nonlinear regression analysis using the pseudo-2nd order model for the highest concentration tested, which was 10 mM, gave values of equilibrium sorption capacity qe of 30.928 mg/g (95% confidence interval from 29.328 to 32.527) and a value of the pseudo-2nd-order rate constant, k2 of 0.020 (95% confidence interval from 0.011 to 0.028).

scholarly journals Kinetic Analysis of the Adsorption of Malachite Green onto Graphene Oxide Sheets Integrated with Gold Nanoparticles

2021 ◽  
Vol 9 (2) ◽  
pp. 48-52
Author(s):  
Ibrahim Alhaji Sabo ◽  
Salihu Yahuza ◽  
Bilal Ibrahim Dan-Iya ◽  
Abdussamad Abubakar
Keyword(s):  
Graphene Oxide ◽  
Confidence Interval ◽  
Malachite Green ◽  
Information Criterion ◽  
Cost Effective ◽  
Order Rate Constant ◽  
Visual Observation ◽  
Coefficient Of Determination ◽  
Textile Dye ◽  
Bias Factor

Malachite green is extensively used in the textile dye industry and in agriculture as fish pests’ pesticide. Biosorption is a type of sorption technique that uses a biological sorbent. As of now, biosorption is viewed as a simple and cost-effective process that might be used as an alternative to traditional pollution treatment methods. Bioremediation is one of the branches of bioremediation that is used to minimise pollution in the context of incorrect textile waste disposal. The sorption isotherm of Malachite Green onto graphene oxide were analyzed using three models—pseudo-1st, pseudo-2nd and Elovich, and fitted using non-linear regression. The Elovich model was the poorest in fitting the curve based on visual observation and the best was pseudo-2nd order based on statistical analysis such as root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), corrected AICc (Akaike Information Criterion), Bayesian Information Criterion (BIC) and Hannan–Quinn information criterion (HQC). Nonlinear regression analysis using the pseudo-2nd order model gave values of equilibrium sorption capacity qe of 6.164 mg/g (95% confidence interval from 5.918 to 6.410) and a value of the pseudo-2nd-order rate constant, k2 of 0.034 (95% confidence interval from 0.024 to 0.045). Further analysis is needed to provide proof for the chemisorption mechanism usually tied to this kinetic.

scholarly journals Kinetic Analysis of the Adsorption of Cibacron Blue onto Bean Peel

2021 ◽  
Vol 5 (2) ◽  
pp. 14-18
Author(s):  
Ain Aqilah Basirun ◽  
Mohd Yunus Shukor
Keyword(s):  
Confidence Interval ◽  
Waste Disposal ◽  
Information Criterion ◽  
Cost Effective ◽  
Order Rate Constant ◽  
Visual Observation ◽  
Coefficient Of Determination ◽  
Textile Waste ◽  
Cibacron Blue ◽  
Biological Source

Biosorption is a kind of sorption technology in which the sorbent is derived from a biological source. At the moment, biosorption is seen as a simple, cost-effective, and environmentally friendly process that might be employed as a viable alternative to conventional techniques of pollution removal. When it comes to improper textile waste disposal, it falls under one of the branches of bioremediation that is used to reduce contamination in the setting of improper textile waste disposal. The sorption isotherm of Cibacron Blue onto bean peel were analyzed using three models—pseudo-1st, pseudo-2nd and Elovich, and fitted using non-linear regression. The Elovich model was the poorest in fitting the curve based on visual observation and the best was pseudo-2nd order based on statistical analysis such as root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), corrected AICc (Akaike Information Criterion), Bayesian Information Criterion (BIC) and Hannan–Quinn information criterion (HQC). Nonlinear regression analysis using the pseudo-2nd order model gave values of equilibrium sorption capacity qe of 6.164 mg/g (95% confidence interval from 5.918 to 6.410 ) and a value of the pseudo-2nd-order rate constant, k2 of 0.034 (95% confidence interval from 0.024 to 0.045). Further analysis is needed to provide proof for the chemisorption mechanism usually tied to this kinetic.

scholarly journals Kinetic Analysis of the Adsorption of Chromium onto Calcium Alginate Nanoparticles

2021 ◽  
Vol 5 (2) ◽  
pp. 8-13
Author(s):  
Bilal Ibrahim Dan-Iya ◽  
Salihu Yahuza ◽  
Ibrahim Alhaji Sabo
Keyword(s):  
Confidence Interval ◽  
Kinetic Analysis ◽  
Calcium Alginate ◽  
Information Criterion ◽  
Order Rate Constant ◽  
Industrial Applications ◽  
Visual Observation ◽  
Coefficient Of Determination ◽  
Order Model ◽  
A Value

The widespread use of chromium in industrial applications such as leather tanning, metallurgy, electroplating, and refractory materials has resulted in it being one of the most harmful trace elements to be introduced into surface and ground waters. The sorption isotherm of chromium sorption onto calcium alginate nanoparticles were analyzed using three models—pseudo-1st, pseudo-2nd and Elovich, and fitted using non-linear regression. The Elovich model was the poorest in fitting the curve based on visual observation followed by the pseudo-1st order. Statistical analysis based on root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), corrected AICc (Akaike Information Criterion), Bayesian Information Criterion (BIC) and Hannan–Quinn information criterion (HQC) that showed that the pseudo-1ST order model is the best model. Kinetic analysis using the pseudo-1st order model at 400 mg/L 4-BDE gave a value of equilibrium sorption capacity qe of 31.89 mg g-1 (95% confidence interval from 30.37 to 33.42) and a value of the pseudo-1st-order rate constant, k1 of 0.22 (95% confidence interval from 0.019 to 0.025). Further analysis is needed to provide proof for the chemisorption mechanism usually tied to this kinetic.

scholarly journals Isothermal Modelling of the Adsorption of Cibacron Blue onto Bean Peel

2021 ◽  
Vol 3 (2) ◽  
pp. 20-24
Author(s):  
Mohd Yunus Shukor
Keyword(s):  
Confidence Interval ◽  
Freundlich Isotherm ◽  
Information Criterion ◽  
Coefficient Of Determination ◽  
Maximum Adsorption Capacity ◽  
Cibacron Blue ◽  
A Value ◽  
Bias Factor ◽  
Nonlinear Regression Method ◽  
Parameter Values

Biosorption is a sort of sorption technology in which the sorbent is a substance that is biologically sourced. In today's world, biosorption is seen as a simple, inexpensive, and ecologically friendly way for removing pollutants from the environment. One of the branches of bioremediation that is utilised to decrease environmental pollution in the context of minimising improper textile waste disposal is this method. The sorption isotherm of Cibacron Blue onto bean peel were analyzed using ten models—Henry, Langmuir, Dubinin-Radushkevich, Freundlich, BET, Toth, Sips, Fritz-Schlunder IV, Baudu and Fritz-Schlunder V, and fitted using non-linear regression. Statistical analysis based on root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), corrected AICc (Akaike Information Criterion), BIC and HQC showed that the Freundlich model was the best model in terms of overall best criteria. The calculated evidence ratio was 8 with an AICc probability value of 0.89 indicating that the best model was at least 8 times better than the nearest best model, which was Sips. The calculated Freundlich parameters KF (Freundlich isotherm constant) and nF (Freundlich exponent) were 5.369 (L/g) (95% confidence interval from 4.359 to 6.379) and 3.125 (95% confidence interval from 2.717 to 3.533). The Langmuir constant was utilized to calculate the maximum adsorption capacity QmL (mg/g) which gave a value of 27.83 mg/g (95% confidence interval from 23.69 to 31.98). The nonlinear regression method allows for the parameter values to be represented in the 95% confidence interval range which can better allow comparison with published results.

scholarly journals Kinetics Modeling on the Biosorption of Remazol Black B Dye by Aspergillus flavus

2021 ◽  
Vol 9 (2) ◽  
pp. 19-22
Author(s):  
Salihu Yahuza ◽  
Ibrahim Alhaji Sabo ◽  
Hadiza Aliyu Biu
Keyword(s):  
Aspergillus Flavus ◽  
Textile Industry ◽  
Information Criterion ◽  
Order Rate Constant ◽  
Coefficient Of Determination ◽  
Order Model ◽  
Covalent Bonds ◽  
Aquatic Life ◽  
Remazol Black B ◽  
Remazol Black

Azo dyes, such as Remazol Black B, are different from conventional dyes in that they establish covalent bonds with textile fibers like cotton. They are widely utilized in the textile industry because of their favorable properties of bright color, water resistance, simple application procedures, and low energy consumption. Their discharge into receiving streams has major environmental consequences, such as reducing photosynthesis in aquatic life due to lower light penetration. The biosorption isotherm data of Remazol Black B dye biosorption by Aspergillus flavus were investigated using two models—pseudo-1st order and pseudo-2nd order—and fitted using non-linear regression. The pseudo-1st order model was found to be the best by statistical analysis using root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), corrected AICc (Akaike Information Criterion), Bayesian Information Criterion (BIC), and Hannan–Quinn information criterion (HQC). At 250 mg/L, kinetic analysis using the pseudo-1st order model yielded an equilibrium sorption capacity qe of 4.61 mg/g (95 % confidence interval from 4.54 to 4.68) and a pseudo-1st-order rate constant, k1 of 0.15 (95% C.I. from 0.128 to 0.164).

scholarly journals Isothermal Modelling of the Adsorption of Chromium onto Calcium Alginate Nanoparticles

2021 ◽  
Vol 9 (2) ◽  
pp. 1-7
Author(s):  
Bilal Ibrahim Dan-Iya ◽  
Mohd Yunus Shukor
Keyword(s):  
Confidence Interval ◽  
Calcium Alginate ◽  
Information Criterion ◽  
Industrial Applications ◽  
Coefficient Of Determination ◽  
Refractory Materials ◽  
Bias Factor ◽  
Nonlinear Regression Method ◽  
Parameter Values ◽  
Better Than

Because of its extensive usage in industrial applications such as leather tanning, metallurgy, electroplating, and refractory materials, chromium is one of the most dangerous trace elements introduced into surface and ground waters. The sorption isotherm of chromium sorption onto calcium alginate nanoparticles were analyzed using ten models—Henry, Langmuir, Dubinin-Radushkevich, Freundlich, BET, Toth, Sips, Fritz-Schlunder IV, Baudu and Fritz-Schlunder V, and fitted using non-linear regression. Only the Toth and Fritz-Schlunder V models were unable to fit the data. Statistical analysis based on root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF), corrected AICc (Akaike Information Criterion), BIC and HQC showed that the Langmuir model was the best model in terms of overall best criteria. The calculated evidence ratio was 7 with an AICc probability value of 0.87 indicating that the best model was at least 7 times better than the nearest best model, which was Freundlich. The calculated Langmuir parameters qmL value of 79.174 mg/g (95% confidence interval from 50.702 to 107.646) and bL value of 0.332 L/mg (95% confidence interval from 0.294 to 0.371) is not much different from the linearized published work for the qmL value of 145 mg/g but lower than the bL value of 0.34 L/mg. The nonlinear regression method allows for the parameter values to be represented in the 95% confidence interval range which can better allow comparison with published results.

scholarly journals One-Step Preparation of Graphene Oxide/Cellulose Nanofibril Hybrid Aerogel for Adsorptive Removal of Four Kinds of Antibiotics

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Jin Wang ◽  
Qiufang Yao ◽  
Chengmin Sheng ◽  
Chunde Jin ◽  
Qingfeng Sun
Keyword(s):  
Graphene Oxide ◽  
Adsorption Property ◽  
Isotherm Models ◽  
Cellulose Nanofibril ◽  
Order Model ◽  
Adsorption Capacities ◽  
Effective Removal ◽  
3D Network ◽  
Pseudo Second Order ◽  
One Step

Via a one-step ultrasonication method, cellulose nanofibril/graphene oxide hybrid (GO-CNF) aerogel was successfully prepared. The as-prepared GO-CNF possessed interconnected 3D network microstructure based on GO nanosheets grown along CNF through hydrogen bonds. The aerogel exhibited superior adsorption capacity toward four kinds of antibiotics. The removal percentages (R%) of these antibiotics were 81.5%, 79.5%, 79.1%, and 73.9% for Doxycycline (DXC), Chlortetracycline (CTC), Oxytetracycline (OTC), and tetracycline (TC), respectively. Simultaneously, the adsorption isotherms were well fitted to Langmuir model and kinetics study implied that the adsorption process was attributed to pseudo-second-order model. The maximum theoretical adsorption capacities of GO-CNF were 469.7, 396.5, 386.5, and 343.8 mg·g−1 for DXC, CTC, OTC, and TC, respectively, calculated by the Langmuir isotherm models. After five cycles, importantly, the regenerated aerogels still could be used with little degradation of adsorption property. Consequently, the as-synthesized GO-CNF was a successful application of effective removal of antibiotics.

scholarly journals Kinetic and Isothermal Investigations of Cost-Effective Sorptive Elimination of Gentian Violet Dye from Water Using Haplophragma adenophyllum Biowaste

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Momal Akram ◽  
Muhammad Salman ◽  
Rabia Rehman ◽  
Umar Farooq ◽  
Samra Tahir ◽  
...  
Keyword(s):  
Gentian Violet ◽  
Process Condition ◽  
Cost Effective ◽  
Optimum Process ◽  
The Novel ◽  
Order Model ◽  
Equilibrium Study ◽  
Freundlich Isotherms ◽  
Biosorption Mechanism ◽  
Pseudo Second Order

A novel biosorbent, Haplophragma adenophyllum (HAB) was employed to explore the biosorption mechanism of Gentian Violet (GV) dye. The novel sorbent was characterized by using FTIR spectra and physiochemical analysis. The effect of different optimizing factors like HAB dosage, GV initial concentration, contact time between sorbent and sorbate, pH of a solution, and the temperature was studied. The optimum removal of GV by HAB was observed at pH 6.0. The equilibrium study was carried out using Langmuir and Freundlich isotherms. Experimental data fitted well in Langmuir isotherm indicating monolayer isotherm with qmax value obtained at optimum process condition of 13.21 mg/g. Kinetics study was carried out and followed by pseudo-second-order model. Thermodynamics studies reveal the endothermic reaction.

scholarly journals Kinetic Modeling and Effect of Process Parameters on Selenium Removal Using Strong Acid Resin

2016 ◽  
Vol 6 (4) ◽  
pp. 1045-1049
Author(s):  
N. Rajamohan ◽  
R. Rajesh Kannan ◽  
M. Rajasimman
Keyword(s):  
Ion Exchange ◽  
Removal Efficiency ◽  
Exchange Process ◽  
Selenium Concentration ◽  
Strong Acid ◽  
Order Rate Constant ◽  
Second Order ◽  
Order Model ◽  
Selenium Removal ◽  
Pseudo Second Order

Heavy metal pollution due to the contamination of Selenium above the tolerable limit in the natural environment is a challenging issue that environmental scientists face. This study is aimed at identifying ion exchange technology as a feasible solution to remove selenium ions using 001x7 resin. Parametric experiments were conducted to identify the optimal pH, sorbent dose and speed of agitation. Selenium removal efficiency of 85% was attained at pH 5.0 with 100 mg/L selenium concentration. The increase in resin dose was found to increase removal efficiency. However, metal uptake decreased. The experiments on the effect of concentration proved the negative effect of higher concentrations of selenium on removal efficiency. The ion exchange process was proved to be optimal at an agitation speed of 200 rpm and a temperature of 35 °C. Pseudo second order model was found to fit the kinetic data very well compared to the pseudo-first order model and the pseudo second order rate constant was estimated as 8.725x10-5 g mg-1 min-1 with a solution containing 100 mg/L selenium.

Molybdenum Blue Production from Serratia sp. strain DRY5: Secondary Modeling

2021 ◽  
Vol 9 (2) ◽  
pp. 21-24
Author(s):  
Ibrahim Alhaji Sabo ◽  
Salihu Yahuza ◽  
Mohd Yunus Shukor
Keyword(s):  
Confidence Interval ◽  
Degradation Rate ◽  
Growth Models ◽  
Coefficient Of Determination ◽  
Specific Substrate ◽  
The Novel ◽  
Monod Model ◽  
Molybdenum Blue ◽  
Kinetic Growth ◽  
Bias Factor

In this work, kinetic growth models such as Luong, Yano, Teissier-Edward, Aiba, Haldane, Monod, Han and Levenspiel were used to model molybdenum blue production from Serratia sp. strain DRY5. Based on statistical analyses such as root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), and accuracy factor (AF), the Monod model was chosen as the best. The calculated values for the monod constants qmax (the maximum specific substrate degradation rate (h−1), and Ks (concentration of substrate at the half maximal degradation rate (mg/L)) were found to be 3.86 (95% confidence interval of 2.29 to 5.43), and 43.41 (95% confidence interval of 12.36 to 74.46) respectively. The novel constants discovered during the modelling exercise could be used in further secondary modelling.

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