2019
DOI: 10.1080/01932691.2019.1642209
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Fabrication of mixed phase CaFe2O4 and MnFe2O4 magnetic nanocomposite for enhanced and rapid adsorption of methyl orange dye: statistical modeling by neural network and response surface methodology

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Cited by 35 publications
(16 citation statements)
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“…To investigate the simultaneous effect of parameters on the response and optimization of parameters, the response surface methodology (RSM) is a useful statistical technique by reducing the number of experiments (Aliabadi, Irani, Ismaeili, & Najafzadeh, ; Karri, Tanzifi, et al, ; Tripathy, Ramesh, Debnath, & Kumar, ). Among RSM approaches, the central composite design (CCD) (Zare‐Dorabei, Ferdowsi, Barzin, & Tadjarodi, ; Zolgharnein, Shahmoradi, & Ghasemi, ) and Box–Behnken design (BBD) (Bhowmik, Deb, Debnath, & Saha, ; Bhowmik, Debnath, & Saha, ; Deb, Kanmani, Debnath, Bhowmik, & Saha, ; Ebrahimzadeh, Behbahani, Yamini, Adlnasab, & Asgharinezhad, ) have been extensively used for optimization of adsorption process. Among these methods, CCD has better prediction compared with BBD method (Zolgharnein et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…To investigate the simultaneous effect of parameters on the response and optimization of parameters, the response surface methodology (RSM) is a useful statistical technique by reducing the number of experiments (Aliabadi, Irani, Ismaeili, & Najafzadeh, ; Karri, Tanzifi, et al, ; Tripathy, Ramesh, Debnath, & Kumar, ). Among RSM approaches, the central composite design (CCD) (Zare‐Dorabei, Ferdowsi, Barzin, & Tadjarodi, ; Zolgharnein, Shahmoradi, & Ghasemi, ) and Box–Behnken design (BBD) (Bhowmik, Deb, Debnath, & Saha, ; Bhowmik, Debnath, & Saha, ; Deb, Kanmani, Debnath, Bhowmik, & Saha, ; Ebrahimzadeh, Behbahani, Yamini, Adlnasab, & Asgharinezhad, ) have been extensively used for optimization of adsorption process. Among these methods, CCD has better prediction compared with BBD method (Zolgharnein et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…In Equation ( 4), X norm , X max , and X min are the normalized, maximum, and minimum value of variable X. The weightage of four considered input parameters on the output parameter was computed using the Equation ( 5) (Bhowmik et al 2020).…”
Section: Artificial Neural Network (Ann) Modelingmentioning
confidence: 99%
“…[9][10][11][12][13][14][15] Among them, adsorption technology is an attractive option due to its simple operation, low investment, and potential recovery and reuse of heavy metal ions and oxyanions. [16][17][18] Materials such as zeolites, 19 clays, 20 and layered double hydroxide 21 have been extensively studied for metal ion remediation over these years but these sorbents show low performance for co-removal of heavy metal ions and oxyanions. Therefore, the preparation of sorbents for the co-removal of both heavy metal ions and oxyanions is very useful.…”
Section: Introductionmentioning
confidence: 99%