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Iranian Journal of Chemistry and Chemical Engineering، جلد ۴۳، شماره ۳، صفحات ۹۷۱-۹۸۲
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
The Application of Fuzzy Inference System and Adaptive Neuro-Fuzzy Inference System as Artificial Intelligence Methods for Modeling and Prediction of the Ceftriaxone Removal Percentage Using Nano Zero-Valent Iron Coupled with Strontium Hexaferrite |
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| چکیده انگلیسی مقاله |
In this study, the removal efficiency of ceftriaxone (CTX) from aqueous media was assessed via nano zero-valent iron (nZVI) incorporated with strontium hexaferrite (SrFe12O19) (nZVI/SrFe12O19). The synthesized adsorbent w:as char:acterized using Scanning Electron Microscopy (SEM), Energy Dispersive X-ray (EDX), Fourier-Transform InfraRed (FT-IR), spectroscopy, and X-Ray Diffraction (XRD). The experiments with different parameters such as pH, adsorbent dosage, and initial concentration were designed. Two artificial intelligence methods, including the Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used to model for predicting the percentage of CTX removal. The mean recovery value was found to be 100.03% and 100.0006% for FIS and ANFIS, respectively. Root mean square error (RMSE) and mean absolute percentage error (MAPE) were 0.1291, 0.0384%, and 0.0026, 0.0105% for FIS and ANFIS, respectively. These results represent that both FIS and ANFIS models are capable of predicting the removal percentage of CTX with high precision and accuracy. It can also be said that the ANFIS model indicated a higher predictive ability than the FIS model based on the good agreement with predicting values of experimental data. The nZVI/SrFe12O19 can be used effectively to overcome contamination problems posed by antibiotics in the environment. |
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| کلیدواژه‌های انگلیسی مقاله |
Fuzzy Inference System,Adaptive neuro-fuzzy inference system,Nano zero-valent iron,ceftriaxone,Adsorption |
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| نویسندگان مقاله |
Shadan Amiri |
Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, I.R. IRAN
Elahe Larki |
Department of Pharmaceutical Chemistry, East Tehran Branch, Islamic Azad University, Tehran, I.R. IRAN
Narges Esmaile |
Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, I.R. IRAN
Shirin Mofavvaz |
Department of Chemistry, Shahreza Branch, Islamic Azad University, Shahreza, I.R. IRAN
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| نشانی اینترنتی |
https://ijcce.ac.ir/article_708147_384dda40d3c7af2f9a252c5e36b42d09.pdf |
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| زبان مقاله منتشر شده |
en |
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