Optimization of process parameters in removal of lead from aqueous solution through response surface methodology

Bangaraiah, P.; Sarathbabu, B.

doi:10.1080/00986445.2018.1541800

Cited by 15 publications

(3 citation statements)

References 7 publications

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“…Literature review further confirmed the successful application of BBD coupled with RSM in various chemical processes for optimization purposes viz. reactive extraction [29], lead removal from aqueous solution by adsorption [30], activated carbon preparation [31], photocatalytic process [32], NH 3 -selective catalytic reduction (SCR) of NO x [33].…”

Section: Introductionmentioning

confidence: 99%

Fixed bed utilization for the isolation of xylene vapor: Kinetics and optimization using response surface methodology and artificial neural network

Gupta

Kumar

2020

Environmental Engineering Research

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This paper discusses the isolation of xylene vapor through adsorption using granular activated carbon as an adsorbent. The operating parameters investigated were bed height, inlet xylene concentration and flow rate, their influence on the percentage utilization of the adsorbent bed up to the breakthrough was found out. Mathematical modeling of experimental data was then performed by employing a response surface methodology (RSM) technique to obtain a set of optimum operating conditions to achieve maximum percentage utilization of bed till breakthrough. A fairly high value of R2 (0.993) asserted the proposed polynomial equation’s validity. ANOVA results indicated the model to be highly significant with respect to operating parameters studied. A maximum of 76.1% utilization of adsorbent bed was found out at a bed height of 0.025 m, inlet xylene concentration of 6,200 ppm and a gas flow rate of 25 mL.min-1. Furthermore, the artificial neural network (ANN) was also employed to compute the percentage utilization of the adsorbent bed. A comparison between RSM and ANN divulged the performance of the latter (R2 = 0.99907) to be slightly better. Out of various kinetic models studied, the Yoon-Nelson model established its appropriateness in anticipating the breakthrough curves.

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Section: Introductionmentioning

confidence: 99%

Fixed bed utilization for the isolation of xylene vapor: Kinetics and optimization using response surface methodology and artificial neural network

Gupta

Kumar

2020

Environmental Engineering Research

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“…RSM reduces the number of trials and recognizes the influence of process parameters on the removal process 24,25 . RSM has been successfully used for the optimization of process parameters like adsorbent dose, pH, metal ion concentration, reaction time etc., for bio-sorption of metals 25,26 and dyes 27 . RSM finds wide scale application in drinking water treatment process such as electrochemical 24 and advanced oxidation process 28 .…”

Section: Introductionmentioning

confidence: 99%

Response surface methodological (RSM) approach for optimizing the removal of trihalomethanes (THMs) and its precursor’s by surfactant modified magnetic nanoadsorbents (sMNP) - An endeavor to diminish probable cancer risk

Kumari

Gupta

2019

Sci Rep

158

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Response surface methodology (RSM) approach was used for optimization of the process parameters and identifying the optimal conditions for the removal of both trihalomethanes (THMs) and natural organic matter (NOM) in drinking water supplies. Co-precipitation process was employed for the synthesis of magnetic nano-adsorbent (sMNP), and were characterized by field emission scanning electron microscopy (SEM), trans-emission electron microscopy (TEM), BET (Brunauer-Emmett-Teller), energy dispersive X-ray (EDX) and zeta potential. Box-Behnken experimental design combined with response surface and optimization was used to predict THM and NOM in drinking water supplies. Variables were concentration of sMNP (0.1 g to 5 g), pH (4–10) and reaction time (5 min to 90 min). Statistical analysis of variance (ANOVA) was carried out to identify the adequacy of the developed model, and revealed good agreement between the experimental data and proposed model. The experimentally derived RSM model was validated using t-test and a range of statistical parameters. The observed R2 value, adj. R2, pred. R2 and “F-values” indicates that the developed THM and NOM models are significant. Risk analysis study revealed that under the RSM optimized conditions, a marked reduction in the cancer risk of THMs was observed for both the groups studied. Therefore, the study observed that the developed process and models can be efficiently applied for the removal of both THM and NOM from drinking water supplies.

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“…and dyes161 . Alidadi et al investigated the effect of different parameters for optimizing the extraction of amoxicillin from an aqueous medium by emulsion liquid membrane using RSM based on the CCD model162 .…”

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confidence: 99%

Capillary Electrophoresis for Assessing Static Adsorption/Desorption of Pharmaceutically Active Compounds onto/from Transition Metal Oxide Nanoparticles - Central Composite Design of Response Surface Methodology

Morsi¹

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The binding affinity of pharmaceutically active compounds (PACs) onto transition metal oxide nanoparticles (TMONPs) has been investigated through adsorption and desorption processes. This was deemed worthy of scientific investigation to evaluate the potential for TMONPs to act as efficient adsorbents for PACs in environmental water.Response surface methodology has been applied for the separation of PACs by capillary electrophoresis and to investigate chemical desorption parameters. Quadratic and linear regressions were applied to determine peak resolution and migration time. Analytes were separated in the migration order of metformin < phenformin < mexiletine < ranitidine.These PACs hydrochlorides bind onto TMONPs surface through electrostatic interactions and coordination bonding. It appears that the binding isotherm is well predicted by the Freundlich model, and binding kinetics are consistent with the pseudo-second-order model that involves intra-particle diffusion. The % desorption of mexiletine increases from TiO 2 (46.2%) to Co 3 O 4 (63.0%) due to their different surface properties.

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Optimization of process parameters in removal of lead from aqueous solution through response surface methodology

Cited by 15 publications

References 7 publications

Fixed bed utilization for the isolation of xylene vapor: Kinetics and optimization using response surface methodology and artificial neural network

Fixed bed utilization for the isolation of xylene vapor: Kinetics and optimization using response surface methodology and artificial neural network

Response surface methodological (RSM) approach for optimizing the removal of trihalomethanes (THMs) and its precursor’s by surfactant modified magnetic nanoadsorbents (sMNP) - An endeavor to diminish probable cancer risk

Capillary Electrophoresis for Assessing Static Adsorption/Desorption of Pharmaceutically Active Compounds onto/from Transition Metal Oxide Nanoparticles - Central Composite Design of Response Surface Methodology

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