Modeling of adsorption of Methylene Blue dye on Ho-CaWO4 nanoparticles using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) techniques

Igwegbe, Chinenye Adaobi; Mohmmadi, Leili; Ahmadi, Shahin; Rahdar, Abbas; Khadkhodaiy, Danial; Dehghani, Rahmin; Rahdar, Somayeh

doi:10.1016/j.mex.2019.07.016

Cited by 145 publications

(48 citation statements)

References 42 publications

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“…Thus, CPF molecules were adsorbed faster to the surface of ZnO/BaTiO 3 . However, the rapid increment of adsorption capacity was gradually decreased after the certain CPF initial concentration, because of the saturation of adsorbent’s active sites by higher concentration of CPF [ 39 ]. The repulsion between the CPF and adsorbent happens by the virtue of the occupation of CPF onto available sites of adsorbent [ 40 ].…”

Section: Resultsmentioning

confidence: 99%

Preparation of ZnO/BaTiO3 adsorbent using Elaeagnus Angustifolia L. leaf extract and its evaluation for ciprofloxacin removal from aqueous solutions: an optimization study

Ciğeroğlu

2021

Biomass Conv. Bioref.

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Especially, most papers have reported an increase in antibiotic resistance (AR) bacterial infections during the COVID-19 pandemic. Because of the outbreak of the SARS-CoV-2, antimicrobial resistance (AMR) should be controlled and reduced. Researchers have reported that the adsorption technique is an sufficient procedure for separating drugs such as antibiotics from aqueous solutions. The prepared of ZnO/BaTiO 3 nanocomposite using Elaeagnus Angustifolia L. leaf extract was successfully obtained using green route. The synthesized nanocomposite was interacted with ciprofloxacin hydrochloride (CPF) to aim at eliminating the antibiotic from aqueous solutions. The incorporation of Elaeagnus Angustifolia leaf extract onto ZnO/BaTiO 3 proved a sustainable chemistry study. Hence, this study indicated that green nanoparticles include neither the use of hazardous chemicals nor toxic chemicals. FTIR, XRD, and SEM-EDX analyses were applied to give information about the structural properties of the green nanocomposite. Box-Behnken design (BBD) was executed by response surface methodology (RSM) to gain optimal conditions. The effect of pH, initial concentration of CPF, and nanocomposite dose on CPF-nanocomposite interaction was examined. The experimental findings of adsorption study revealed that the optimal adsorption capacity of CPF onto ZnO/BaTiO 3 was found as 125.29 mgg -1 under optimal conditions (adsorbent dose: 3.00 mg, pH value of solution: 9.88, initial concentration CPF: 49.63 mgL -1 ).

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Section: Resultsmentioning

confidence: 99%

Preparation of ZnO/BaTiO3 adsorbent using Elaeagnus Angustifolia L. leaf extract and its evaluation for ciprofloxacin removal from aqueous solutions: an optimization study

Ciğeroğlu

2021

Biomass Conv. Bioref.

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“…Sharifi and Shoja (2018) performed the biosorption of Methylene Blue onto magnesium oxide nanoparticles coated spruce sawdust using Box-Behnken design of response surface methodology reported maximum decolorization of 94% efficiency dye removal at pH 11, dye concentration of 100 mg/L, and adsorbent dosage of 3.51 g/L was attained which is comparable with the current study of 92.65% decolorization efficiency. Igwegbe et al (2019) performed the adsorption of aqueous Methylene Blue onto Ho-CaWO 4 nanoparticles using CCD and artificial neural network optimization techniques. They reported a maximum of 71.17% (103.09 mg/g) decolorization efficiency was attained after at pH 2.03, time 15.16 min, adsorbent dosage 1.91 g/L, and dye concentration of 100.65 mg/L.…”

Section: Discussionmentioning

confidence: 99%

Statistical optimization of textile dye effluent adsorption by Gracilaria edulis using Plackett-Burman design and response surface methodology

Venkataraghavan

Thiruchelvi

Sharmila

2020

Heliyon

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Statistical optimization models were employed to optimize the adsorption of textile dye effluent onto Gracilaria edulis . Significant factors responsible for adsorption were determined using Plackett-Burman design (PBD) and were time, pH, and dye concentration. Box-Behnken (BB) design was used for further optimization. The predicted and the experimental values were found to be in good agreement, the coefficient of determination value 0.9935 and adjusted coefficient of determination value 0.9818 indicated that the model was significant. The results of predicted response optimization showed that maximum decolorization could be attained with time 131.51 min, pH 7.48, and dye concentration 23.13%. The model was validated experimentally with 92.65% decolorization efficiency. The experiment was confirmed using Fourier transform infrared spectroscopy (FTIR), high-resolution scanning electron microscope coupled with energy dispersive X-ray analysis (HR-SEM-EDX), X-ray diffraction spectrometry (XRD) and Brunauer-Emmett-Teller (BET) surface area and pore size analysis techniques. Desorption studies at various pH (2–14) were performed and a maximum of 23% of the dye was recovered from the adsorbed biomass.

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“…RSM has been widely applied to process improvement and optimization, reducing the number of experimental runs needed to evaluate the influence of several independent variables in the critical properties to be studied [70]. For the quadratic model suggested by the RSM, the non-significant terms, with p > 0.05 (except those that support the modelnon-significant linear terms: A, B, C, D) were removed.…”

Section: Response Surface Methodology (Rsm) Analysismentioning

confidence: 99%

Optimization of Biochar Production by Co-Torrefaction of Microalgae and Lignocellulosic Biomass Using Response Surface Methodology

Viegas

Nobre²,

Correia

et al. 2021

Energies

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Co-torrefaction of microalgae and lignocellulosic biomass was evaluated as a method to process microalgae sludge produced from various effluents and to obtain biochars with suitable properties for energy or material valorization. The influence of four independent variables on biochar yield and properties was evaluated by a set of experiments defined by response surface methodology (RSM). The biochars were characterized for proximate and ultimate composition, HHV, and methylene blue adsorption capacity. HHV of the biochars was positively correlated with carbonization temperature, residence time, and lignocellulosic biomass content in the feed. Co-torrefaction conditions that led to a higher yield of biochar (76.5%) with good calorific value (17.4 MJ Kg−1) were 250 °C, 60 min of residence time, 5% feed moisture, and 50% lignocellulosic biomass. The energy efficiency of the process was higher for lower temperatures (92.6%) but decreased abruptly with the increase of the moisture content of the feed mixture (16.9 to 57.3% for 70% moisture). Biochars produced using algal biomass grown in contaminated effluents presented high ash content and low calorific value. Dye removal efficiency by the produced biochars was tested, reaching 95% methylene blue adsorption capacity for the biochars produced with the least severe torrefaction conditions.

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Modeling of adsorption of Methylene Blue dye on Ho-CaWO4 nanoparticles using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) techniques

Abstract: Graphical abstract

Cited by 145 publications

References 42 publications

Preparation of ZnO/BaTiO3 adsorbent using Elaeagnus Angustifolia L. leaf extract and its evaluation for ciprofloxacin removal from aqueous solutions: an optimization study

Preparation of ZnO/BaTiO3 adsorbent using Elaeagnus Angustifolia L. leaf extract and its evaluation for ciprofloxacin removal from aqueous solutions: an optimization study

Statistical optimization of textile dye effluent adsorption by Gracilaria edulis using Plackett-Burman design and response surface methodology

Optimization of Biochar Production by Co-Torrefaction of Microalgae and Lignocellulosic Biomass Using Response Surface Methodology

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