Box–Behnken design for optimization of iron removal by hybrid oxidation–microfiltration process using ceramic membrane

Ahmed, Naseer; Mir, Fasil Qayoom

doi:10.1007/s10853-022-07567-0

Cited by 7 publications

(5 citation statements)

References 55 publications

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“…To address this challenge, design of experiments (DoE) , has been used extensively as a methodology to scrutinize the correlation between factors and experimental results with the fewest number of experiments possible in a search for improved FoMs. ,− One of the most commonly used methods in DoE is the response surface methodology (RSM). ,, This method computes a response surface model (relying on an approximate equation) between the experimental conditions and FoMs, and then improves the accuracy of this model through a limited number of experiments. Various strategies have been proposed to reduce the number of experiments, such as Box-Behnken design, , central composite design, , etc . Using a software package, the experimenter can automatically select the best of these strategies and apply DoE without any need for in-depth prior knowledge of the mechanism …”

Section: Introductionmentioning

confidence: 99%

“… 2 , 9 , 10 This method computes a response surface model (relying on an approximate equation) between the experimental conditions and FoMs, and then improves the accuracy of this model through a limited number of experiments. Various strategies have been proposed to reduce the number of experiments, such as Box-Behnken design, 11 , 12 central composite design, 13 , 14 etc. 15 Using a software package, the experimenter can automatically select the best of these strategies and apply DoE without any need for in-depth prior knowledge of the mechanism.…”

Section: Introductionmentioning

confidence: 99%

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A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions

Tachibana

Zhang

Zou

et al. 2023

ACS Sustainable Chem. Eng.

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Design of experiments (DoE) plays an important role in optimizing the catalytic performance of chemical reactions. The most commonly used DoE relies on the response surface methodology (RSM) to model the variable space of experimental conditions with the fewest number of experiments. However, the RSM leads to an exponential increase in the number of required experiments as the number of variables increases. Herein we describe a Bayesian optimization algorithm (BOA) to optimize the continuous parameters (e.g., temperature, reaction time, reactant and enzyme concentrations, etc.) of enzyme-catalyzed reactions with the aim of maximizing performance. Compared to existing Bayesian optimization methods, we propose an improved algorithm that leads to better results under limited resources and time for experiments. To validate the versatility of the BOA, we benchmarked its performance with biocatalytic C−C bond formation and amination for the optimization of the turnover number. Gratifyingly, up to 80% improvement compared to RSM and up to 360% improvement vs previous Bayesian optimization algorithms were obtained. Importantly, this strategy enabled simultaneous optimization of both the enzyme's activity and selectivity for cross-benzoin condensation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions

Tachibana

Zhang

Zou

et al. 2023

ACS Sustainable Chem. Eng.

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“…Iron is present in some sites in drinking water intended for the consumption of the Senegalese population, at concentrations that exceed WHO water quality standards (0.3 mg/L) (Ahmed and Mir, 2022). Dissolved oxygen precipitates Fe(II) to Fe(III) and imparts a reddish color, metallic taste and undesirable odor to the water, domestic softeners become clogged with Fe (III) precipitates, the formation of precipitates in the pipes reduces the inside diameter and increases energy losses.…”

Section: Introductionmentioning

confidence: 99%

Biological removal of iron from groundwater in a pilot column on a filter support material with coated jujube seeds

Faye¹,

Sambe²,

Touré³

et al. 2022

Afr. J. Environ. Sci. Technol.

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A co-flow pilot filter with a packing support material (coated jujube seeds) was constructed and tested for the biological removal of iron from Senegalese groundwater. Indeed, it is a PVC tube with an internal diameter of 40 mm and a height of 90 cm. The performance of the filter was tested at a constant hydraulic head of 261.67 m 3 /m 2 per day while the iron feed concentrations varied between 0.5-1, 0.5-1.5 and 0.5-2 mg/L, respectively. Coated jujube seeds, covered with a plastic layer and a biofilm containing microorganisms, were used as the filter material. The iron removal was carried out in a single stage, for which a period of two months was required for the maturation of the bed. In optimal working conditions (Q L = 8.11 L/h; pH = 9.5; [Fe 2+ ] 0 = 2 mg/L; P = 1.013 bar and T = 25±1° C; Redox potential = 300 mV), an operating cycle time of 1 day has proven to be sufficient for the filter bed backwash operation. The results show that the biological treatment gives reduction percentages of 39.3, 48.76 and 67.23%, respectively for the boreholes of Pout Kirène (PK2), Pout Sud (PS5) and Koungheul (KK5).

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“…A Box-Behnken response surface approach [21][22][23] was used to identify factors affecting the membrane fouling and to optimize the overall permeate flux. Three independent factors were carefully studied: the crossflow velocity (0.5 to 1.5 m/s) [24]; transmembrane pressure (0.5 to 1.5 bar) [25]; and pulsatile time interval (60 to 120 s) at a constant pulse duration (0.8 s).…”

Section: Introductionmentioning

confidence: 99%

High-Frequency Pulsatile Parameterization Study for the Titania Ceramic Membrane Fouling Mitigation in Oily Wastewater Systems Using the Box–Behnken Response Surface Methodology

2022

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In this comprehensive study, a seven-channel ultrafiltration (UF) titania membrane was used to investigate the impact of the pulsatile cleaning process on the crossflow filtration system. Seventeen experimental runs were performed for different operating conditions with a transmembrane pressure (TMP) varying from 0.5 to 1.5 bar, a crossflow velocity (CFV) ranging from 0.5 to 1 m/s, and pulsatile parameters within an interval varying from 60 to 120 s with a duration of 0.8 s, and collecting membrane permeate flux and volume data. The optimized operating conditions revealed that a TMP of 1.5 bar, a CFV of 0.71 m/s, and a pulsatile cycle of 85 s were the best operating conditions to reach the highest steady permeability flux and volume of 302 LMH and 8.11 L, respectively. The UF ceramic membrane under the optimized inputs allowed for an oil-rejection ability of 99%. The Box–Behnken design (BBD) model was used to analyze the effect of crossflow operating conditions on the permeate flux and volume. The analysis of variance (ANOVA) indicated that the quadratic regression models were highly significant. At a 95% confidence interval, the optimum TMP significantly enhanced the flux and permeate volume simultaneously. The results also demonstrated a positive interaction between the TMP and the pulsatile process, enhancing the permeate flux with a slight impact on the permeate volume. At the same time, the interaction between the CFV and pulsatile flow improved the permeability and increased the permeate volume.

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Box–Behnken design for optimization of iron removal by hybrid oxidation–microfiltration process using ceramic membrane

Cited by 7 publications

References 55 publications

A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions

A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions

Biological removal of iron from groundwater in a pilot column on a filter support material with coated jujube seeds

High-Frequency Pulsatile Parameterization Study for the Titania Ceramic Membrane Fouling Mitigation in Oily Wastewater Systems Using the Box–Behnken Response Surface Methodology

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