Microwave‐assisted Synthesis of CuCl‐MIL‐47 and Application to Adsorptive Denitrogenation of Model Fuel: Response Surface Methodology

Bereyhi, Mohammad; Zare‐Dorabei, Rouholah; Mosavi, Seyed Hossein

doi:10.1002/slct.202003873

Cited by 21 publications

(15 citation statements)

References 31 publications

(39 reference statements)

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“…In this response surface methodology, central composite design (CCD) was selected to determine linear, interaction, and quadratic of the independent variable during hydrolysis of polysaccharides to fermentable sugar. The RSM generates actual data points, axial data points, and center data points [ 24 ]. This helps to predict the interaction effects of each factor; the data points were selected based on different works of literature and the selected ranges were highly affected by acid hydrolysis.…”

Section: Methodsmentioning

confidence: 99%

Process Optimization for Acid Hydrolysis and Characterization of Bioethanol from Leftover Injera Waste by Using Response Surface Methodology: Central Composite Design

Bayu

Amibo

Beyan

2022

International Journal of Analytical Chemistry

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In this study, leftover injera waste from the southwestern parts of Ethiopia was used as a raw material for bioethanol production. The conversion of this biomass into ethanol involved processing techniques, which include hydrolysis, fermentation, and distillation. This research focuses on determining optimal parameters that are temperature, acid concentration, and hydrolyzing time in a hydrolysis stage. Using response surface analysis, the suggested model is quadratic and has three independent factors, which had significant effects on the yield of ethanol. In this analysis, the temperature and hydrolyzing time had a positive relationship with the yield of ethanol whereas acid concentration had a negative relation. The optimum yield of ethanol obtained was 79.07%. The yield optimized in g/g was 29.99, which was obtained at a temperature of 109.99°C, at an acid concentration of 1.00%, and hydrolyzing time of 49.59 minutes. For this analysis, the mathematical model equation was developed and the R2 value was 99.9% and its desirability was 0.8867. The property of ethanol was characterized by the many parameters used in different standardization. The density, viscosity, flammability, boiling points, and pH were determined as 0.803 gcm−3, 1.1 cP, 14°C, 80°C, and 6.65, respectively.

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Section: Methodsmentioning

confidence: 99%

Process Optimization for Acid Hydrolysis and Characterization of Bioethanol from Leftover Injera Waste by Using Response Surface Methodology: Central Composite Design

Bayu

Amibo

Beyan

2022

International Journal of Analytical Chemistry

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“…The ranges of four independent variables were as initial DOX concentrations (10–90 mg/L), pH (2–10), adsorbent dose (0.5–2.5 g/100 ml), and time period (10–750 min). As shown in Table S1, each independent variables were coded based on (−1, +1) interval indicating the low and high levels, respectively (Bereyhi et al, 2020; Nourozi & Zare‐Dorabei, 2017).…”

Section: Methodsmentioning

confidence: 99%

“…The ranges of four independent variables were as initial DOX concentrations (10-90 mg/L), pH (2-10), adsorbent dose (0.5-2.5 g/100 ml), and time period (10-750 min). As shown in Table S1, each independent variables were coded based on (À1, +1) interval indicating the low and high levels, respectively (Bereyhi et al, 2020;Nourozi & Zare-Dorabei, 2017). RSM suggested 30 experiments by a five-level CCD with six replicates at the center point and the list of these experiments is given in Table 1 (Arabkhani et al, 2021).…”

Section: Multivariate Experimental Design and Optimizationmentioning

confidence: 99%

Adsorptive decontamination of doxycycline hydrochloride via Prosopis juliflora activated carbon: Parameter optimization and disposal study

Kaur

Singh

Rajor

2022

Water Environment Research

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This study deals with the removal of doxycycline hydrochloride (DOX) antibiotic, from aqueous environment by using Prosopis juliflora activated carbon (PJAC). PJAC was synthesized by chemical activation and pyrolysis of Prosopis juliflora. It was characterized by employing Fourier transform infrared spectroscopy (FTIR), scanning electron microscope‐energy dispersive X‐ray analysis (SEM–EDX), X‐ray diffraction analysis (XRD), and Brunauer–Emmett–Teller (BET) techniques. The specific surface area, pore volume, and pore diameter were evaluated as 320.45 m2/g, 0.176 cm3/g, and 2.65 nm, respectively. Different functional groups (O–H, C–O, C=C, C–N, and C–C) present on PJAC promoted the adsorption of DOX. The influence of various adsorption parameters suggested by central composite design (CCD) model was determined using response surface methodology (RSM), and interactive effects of these were optimized. The thermodynamic and kinetic studies performed at optimized conditions, exhibited that adsorption was spontaneous and endothermic. The experimental data were well described with Langmuir, Redlich–Peterson, and Freundlich isotherm models while kinetics data were well described by pseudo second order. The excellent interactions between the PJAC and DOX resulted maximum adsorption capacity as 57.11 mg/g. The adsorption mechanisms was dominated by normalπ‐ normalπ interactions and hydrogen bonding. Moreover, almost complete encapsulation of DOX was achieved by stabilization of exhausted PJAC. Practitioner Points A wild harmful plant Prosopis juliflora was used to synthesize a low‐cost and eco‐friendly bio‐sorbent PJAC. Adsorptive ability of PJAC was quantified for adsorption of DOX antibiotic from its aqueous solution. DOX uptake on PJAC was mainly governed by л‐л EDA interactions and hydrogen bonding.

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“…Study of adsorption/degradation kinetics is important because the rate of adsorption or degradation (which is one of the criteria for efficiency of adsorbent) and also the mechanism of adsorption can be concluded from kinetic studies. [31,32] Figure 10a, b, and c represents the kinetic models: pseudo-first-order, pseudo-second-order, and intra-particle diffusion of catalytic degradation of blue 3 dye by Ca-ALG/Ag nanocomposite beads. The various parameters related to these models are summarized in Table 1.…”

Section: Kinetic Studymentioning

confidence: 99%

Catalytic activity of silver nanocomposite alginate beads for degradation of basic dye: Kinetic and isothermal study

Albalwi

Fadl

Ibrahim

et al. 2021

Applied Organom Chemis

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As the removal of toxic dyes by catalytic degradation is interestingly growing field, diverse types of nanomaterials are used intensively as a catalyst to enhance the catalytic degradation of toxic dyes in the last decades. The unique property of ionic crosslinking of the biopolymer sodium alginate (Na-ALG) in presence of CaCl 2 solution is exploited to prepare Ca-alginate (Ca-ALG) microbeads, which further used as precursor for in situ silver nanoparticles (Ag NPs) formation by the effect of gamma radiation to obtain Ca-ALG/Ag nanocomposite beads. The amount of silver ions adsorbed by the Ca-ALG beads before reduction was evaluated by using ultraviolet-visible spectrophotometer (UV-Vis). The physicochemical properties of prepared Ca-ALG/Ag nanocomposite beads were studied by various techniques as X-ray diffraction (XRD) and transmission electron microscopy (TEM) for approving the creation of Ag NPs and assessing its morphology and particle magnitude. The catalytic reduction ability of the resulting Ca-ALG/Ag nanocomposite beads is studied toward the degradation of basic blue 3 dye as a model anionic dye by the aid of the reducing agent NaBH 4 under various factors including time, pH, catalyst's dosage, NaBH 4 contents, and dye's initial concentration. Various kinetics and isothermal models were applied for forecasting the mechanism of the degradation process using the prepared catalyst beads. The kinetics and isothermal study revealed that the degradation process using Ca-LG/Ag nanocomposite beads as a catalyst in presence of NaBH 4 as a reducing agent was best fit the pseudo-second-order model and Langmuir isotherm model.

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Microwave‐assisted Synthesis of CuCl‐MIL‐47 and Application to Adsorptive Denitrogenation of Model Fuel: Response Surface Methodology

Cited by 21 publications

References 31 publications

Process Optimization for Acid Hydrolysis and Characterization of Bioethanol from Leftover Injera Waste by Using Response Surface Methodology: Central Composite Design

Process Optimization for Acid Hydrolysis and Characterization of Bioethanol from Leftover Injera Waste by Using Response Surface Methodology: Central Composite Design

Adsorptive decontamination of doxycycline hydrochloride via Prosopis juliflora activated carbon: Parameter optimization and disposal study

Catalytic activity of silver nanocomposite alginate beads for degradation of basic dye: Kinetic and isothermal study

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