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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.
Hosseinpoor, Saeed; Sheikhmohammadi, Amir; Rasoulzadeh, Hassan; Saadani, Mohsen; Ghasemi, Seyed Mehdi; Alipour, Mohammad Reza; Hadei, Mostafa; Aghaei Zarch, Seyed Mohsen.
Afiliación
  • Hosseinpoor S; Department of Environmental Health Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran.
  • Sheikhmohammadi A; Department of Environmental Health Engineering, School of Health, Khoy University of Medical Sciences, Khoy, Iran. Electronic address: a_sheikhmohammadi@khoyums.ac.ir.
  • Rasoulzadeh H; Department of Environmental Health Engineering, Maragheh University of Medical Sciences, Maragheh, Iran; Department of Environmental Health Engineering, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: Hrasoulzadeh@mrgums.ac.ir.
  • Saadani M; Department of Environmental Health Engineering, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: m.sadani@sbmu.ac.ir.
  • Ghasemi SM; Deputy of Health, Babol University of Medical Sciences, Babol, Iran.
  • Alipour MR; Department of Environmental Health Engineering, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Hadei M; Department of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Climate Change and Health Research Center (CCHRC), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
  • Aghaei Zarch SM; Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Chemosphere ; 353: 141547, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38447896
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Carbono Idioma: En Revista: Chemosphere Año: 2024 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Carbono Idioma: En Revista: Chemosphere Año: 2024 Tipo del documento: Article País de afiliación: Irán