Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods

Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods Publisher Pubmed

Hosseinpoor S¹ ; Sheikhmohammadi A² ; Rasoulzadeh H^{3, 4} ; Saadani M⁴ ; Ghasemi SM⁵ ; Alipour MR⁴ ; Hadei M^{6, 7} ; Aghaei Zarch SM⁸

Show Affiliations

1. Department of Environmental Health Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran
2. Department of Environmental Health Engineering, School of Health, Khoy University of Medical Sciences, Khoy, Iran
3. Department of Environmental Health Engineering, Maragheh University of Medical Sciences, Maragheh, Iran
4. Department of Environmental Health Engineering, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5. Deputy of Health, Babol University of Medical Sciences, Babol, Iran
6. Department of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
7. Climate Change and Health Research Center (CCHRC), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
8. Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Source: Chemosphere Published:2024

Abstract

Today, the main goal of many researchers is the use of high-performance, economically and industrially justified materials, as well as recyclable materials in removing organic and dangerous pollutants. For this purpose, sol-gel derived carbon aerogel modified with nickel (SGCAN) was used to remove Cefixime from aqueous solutions. The influence of important parameters in the cefixime adsorption onto SGCAN was modeled and optimized using artificial neural network (ANN), response surface methodology (RSM), genetic algorithm (GA), and SOLVER methods. R software was applied for this purpose. The design range of the runs for a time was in the range of 5 min–70 min, concentration in the range of 5 mg L−1 to 40 mg L−1, amount of adsorbent in the range of 0.05 g L−1 to 0.15 g L−1, and pH in the range of 2.0–11. The results showed that the ANN model due to lower Mean Squared Error (MSE), Sum of Squared Errors (SSE), and Root Mean Squared Error (RMSE) values and also higher R2 is a superior model than RSM. Also, due to the superiority of ANN over the RSM model, the optimum results were calculated based on GA. Based on GA, the highest Cefixime adsorption onto SGCAN was obtained in pH, 5.98; reaction time, 58.15 min; initial Cefixime concentration, 15.26 mg L−1; and adsorbent dosage, 0.11 g L−1. The maximum adsorption capacity of Cefixime onto SGCAN was determined to be 52 mg g−1. It was found the pseudo-second-order model has a better fit with the presented data. © 2024 Elsevier Ltd

2. Magnetic Metal Oxide Catalysts: Paving the Way for Enhanced Antibiotics Degradation in Wastewater Via Peroxymonosulfate Activation, Process Safety and Environmental Protection (2024)

Style	Citing Format
MLA	Hosseinpoor S, et al.. "Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods." Chemosphere, vol. 353, no. , 2024, pp. -.
APA	Hosseinpoor S, Sheikhmohammadi A, Rasoulzadeh H, Saadani M, Ghasemi SM, Alipour MR, Hadei M, Aghaei Zarch SM (2024). Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods. Chemosphere, 353(), -.
Chicago	Hosseinpoor S, Sheikhmohammadi A, Rasoulzadeh H, Saadani M, Ghasemi SM, Alipour MR, Hadei M, Aghaei Zarch SM. "Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods." Chemosphere 353, no. (2024): -.
Harvard	Hosseinpoor S et al. (2024) 'Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods', Chemosphere, 353(), pp. -.
Vancouver	Hosseinpoor S, Sheikhmohammadi A, Rasoulzadeh H, Saadani M, Ghasemi SM, Alipour MR, et al.. Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods. Chemosphere. 2024;353():-.
BibTex	@article{ author = {Hosseinpoor S and Sheikhmohammadi A and Rasoulzadeh H and Saadani M and Ghasemi SM and Alipour MR and Hadei M and Aghaei Zarch SM}, title = {Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods}, journal = {Chemosphere}, volume = {353}, number = {}, pages = {-}, year = {2024} }
RIS	TY - JOUR AU - Hosseinpoor S AU - Sheikhmohammadi A AU - Rasoulzadeh H AU - Saadani M AU - Ghasemi SM AU - Alipour MR AU - Hadei M AU - Aghaei Zarch SM TI - Comparison of Modeling, Optimization, and Prediction of Important Parameters in the Adsorption of Cefixime Onto Sol-Gel Derived Carbon Aerogel and Modified With Nickel Using Ann, Rsm, Ga, and Solver Methods JO - Chemosphere VL - 353 IS - SP - EP - PY - 2024 ER -

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