Acid red 18 removal from aqueous solution by nanocrystalline granular ferric hydroxide (GFH); optimization by response surface methodology &amp; genetic-algorithm

Hamidi, Farshad; Dehghani, Mohammad Hadi; Kasraee, Mahboobeh; Salari, Mehdi; Shiri, Leila; Mahvi, Amir Hossein

doi:10.1038/s41598-022-08769-x

Cited by 32 publications

(11 citation statements)

References 49 publications

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“…The raw isoamyl acetate (4) yield data did not well fit to various models (linear, quadratic, and cubic). Accordingly, a convenient data transformation was required 60,68,69 . With this transformation, the experimental data well fit to the quadratic model finally.…”

Section: Resultsmentioning

confidence: 99%

“…Response surface methodology (RSM) is an efficient statistical method in order to optimize multiple variables to predict optimal conditions with minimum number of experiments. The use of this method, compared to the conventional techniques of one variable at a time, leads to a decrease of time and expense as well as a reduction in the consumption of reagents and materials 16,[58][59][60][61][62][63][64] .…”

Section: Optimization Of Green and Environmentally-benign Synthesis O...mentioning

confidence: 99%

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Optimization of green and environmentally-benign synthesis of isoamyl acetate in the presence of ball-milled seashells by response surface methodology

Fattahi

Dekamin

Clark

2023

Sci Rep

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Ball-milled seashells, as a nano-biocomposite catalyst and natural source of CaCO3 in its aragonite microcrystalline form with fixed CO2, was optimized for the synthesis of isoamyl acetate (3-methylbutyl ethanoate) by response surface methodology with a five-level three-factor rotatable circumscribed central composite design. The seashells nano-biocomposite has proved to be an excellent heterogeneous multifunctional catalyst for the green and environmentally-benign synthesis of isoamyl acetate from acetic acid and isoamyl alcohol under solvent-free conditions. A high yield of 91% was obtained under the following optimal conditions: molar ratio of alcohol: acetic acid (1:3.7), catalyst loading (15.7 mg), the reaction temperature (98 °C), and the reaction time (219 min). The outstanding advantages of this protocol are the use of an inexpensive, naturally occurring and easily prepared nano-biocomposite material having appropriate thermal stability and without any modifications using hazardous reagents, lower catalyst loading and reaction temperature, no use of corrosive Bronsted acids as well as toxic azeotropic solvents or water adsorbents, and simplicity of the procedure.

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Section: Resultsmentioning

confidence: 99%

Section: Optimization Of Green and Environmentally-benign Synthesis O...mentioning

confidence: 99%

Optimization of green and environmentally-benign synthesis of isoamyl acetate in the presence of ball-milled seashells by response surface methodology

Fattahi

Dekamin

Clark

2023

Sci Rep

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“…Experimental design and optimization of esteri cation of acetic acid with isoamyl alcohol by RSM Optimization of the reaction conditions for the synthesis of isoamyl acetate (4) was accomplished using RSM to evaluate the effects of some reaction variables on the yield of the esteri cation of isoamyl alcohol with acetic acid. In this work, according to the elementary studies and the procured results from the previous studies, [4,39,40] four variables including reaction temperature (A), reaction time (B), catalyst loading (C), and molar ratio of acetic acid: isoamyl alcohol (D), were chosen as the most effective variables on the yield of the isoamyl acetate (4). A 5-level 4-factor RCCCD was employed at this study.…”

Section: Methodsmentioning

confidence: 99%

“…The raw isoamyl acetate (4) yield data were not well t to various models (linear, quadratic, and cubic). Accordingly, a convenient data transformation was required 40,46,47 With this transformation, the experimental data well t to the quadratic model. The causing model equation, in terms of the variables, is shown in Eq.…”

Section: B Optimization Of the Esteri Cation Of Isoamyl Alcohol With ...mentioning

confidence: 99%

Optimization of green and environmentally-benign synthesis of isoamyl acetate in the presence of ball-milled seashells by response surface methodology

Fattahi

Dekamin

Clark

2022

Preprint

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Ball-Milled seashells, as a nano-biocomposite catalyst and natural source of CaCO3 in its aragonite microcrystalline form and fixed CO2, was optimized for the synthesis of isoamyl acetate by response surface methodology (RSM) with a five-level three-factor rotatable circumscribed central composite design (RCCCD). The seashells nano-biocomposite was proved to be an excellent heterogeneous catalyst for the green and environmentally-benign synthesis of isoamyl acetate from acetic acid and isoamyl alcohol under solvent-free conditions. High yield of 91% was obtained under the following optimal conditions: molar ratio of alcohol: acetic acid (1:3.7), catalyst loading (15.7 mg), the reaction temperature (98°C), and the reaction time (219 min). The outstanding advantages of this protocol are the use of a naturally occurring and easily prepared nano-biocomposite material without any modifications with hazardous reagents, lower catalyst loading and required temperature, avoiding the use of corrosive Bronsted acids as well as toxic azeotropic solvents or water adsorbents, and simplicity of the procedure.

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“…The iterative cycle is maintained until the desired solution is reached before termination. The algorithm can be implemented in a Matlab environment [74][75][76][77][78].…”

Section: Genetic Algorithmmentioning

confidence: 99%

Evaluation of Heterocyclic Aromatic Compound Dye (Methylene Blue) on Chitosan Adsorbent Sourced from African Snail Shell: Modelling and Optimization Studies

Bello

Olafadehan

2022

J. Appl. Sci. Process Eng.

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In this article, the modelling and optimization of five operational process parameters involving initial concentration, adsorbent dosage, contact time, temperature and pH of the solution as it affects the treatment of aqueous solution contaminated with methylene blue, a heterocyclic aromatic compound, on chitosan sourced from African Snail Shell were studied using response surface methodology (RSM) and artificial neural network (ANN) techniques coupled with genetic algorithm. The single and interactive effects of the variables were examined by way of analysis of variance (ANOVA). A comparison of the model techniques was done and an evaluation was carried out with some selected error functions. Both modelling and optimization tools performed creditably well. However, the hybrid ANN-GA proved to be a superior modelling and optimization technique with excellent generalization ability which gave an average absolute deviation between the experimental and predicted data of both response variables considered. The insightful relative importance of the process variables based on the renowned Garson and Olden’s algorithm methods coupled with step by step approach initiated in the Matlab environment were equally investigated. The findings from this study revealed in clear terms that pH and initial concentrations were the most influential parameters and the maximum value of 99.28% of methylene blue removed at optimum conditions affirmed that the chitosan adsorbent is viable for the treatment of effluents from the textile industry.

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Acid red 18 removal from aqueous solution by nanocrystalline granular ferric hydroxide (GFH); optimization by response surface methodology & genetic-algorithm

Cited by 32 publications

References 49 publications

Optimization of green and environmentally-benign synthesis of isoamyl acetate in the presence of ball-milled seashells by response surface methodology

Optimization of green and environmentally-benign synthesis of isoamyl acetate in the presence of ball-milled seashells by response surface methodology

Optimization of green and environmentally-benign synthesis of isoamyl acetate in the presence of ball-milled seashells by response surface methodology

Evaluation of Heterocyclic Aromatic Compound Dye (Methylene Blue) on Chitosan Adsorbent Sourced from African Snail Shell: Modelling and Optimization Studies

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