scholarly journals Application of response surface methodology for simultaneous removal of major cations from seawater using metal oxide nanostructures

Water SA ◽  
2020 ◽  
Vol 46 (2 April) ◽  
Author(s):  
Denga Ramutshatsha ◽  
J Catherine Ngila ◽  
Patrick G Ndungu ◽  
Philiswa N Nomngongo
Keyword(s):  
Response Surface Methodology ◽  
Metal Oxide ◽  
Response Surface ◽  
Metal Ion ◽  
Simultaneous Removal ◽  
Major Cations ◽  
Experimental Parameters ◽  
Metal Oxide Nanostructures ◽  
Metal Oxide Nanomaterials ◽  
Removal Of Metal Ions

  The objectives of this study were to assess the suitability of metal oxide nanomaterials for removal of major cations Na+, K+, Ca2+ and Mg2+ from seawater. The as-synthesised nanomaterials were characterized using different techniques, such as XRD, TEM, and BET. The simultaneous removal of Na+, K+, Ca2+ and Mg2+ ion from aqueous solutions by α-Fe2O3 and SiO2/Nb2O5/Fe2O3 nanostructures was studied using batch method. The influence of different experimental parameters (such as initial metal ion concentrations, mass of adsorbent, sample pH and contact time) that affect the simultaneous removal of metal ions was studied using response surface methodology (RSM) based on small central composite design (SCCD). Under optimised conditions, the highest percentage removal was 75%, 92%, 93% and 85% for Na+, K+, Ca2+ and Mg2+, respectively.

scholarly journals Application of response surface methodology for simultaneous removal of major cations from seawater using metal oxide nanostructures

Water SA ◽  
2020 ◽  
Vol 46 (2 April) ◽  
Author(s):  
Denga Ramutshatsha ◽  
J Catherine Ngila ◽  
Patrick G Ndungu ◽  
Philiswa N Nomngongo
Keyword(s):  
Response Surface Methodology ◽  
Metal Oxide ◽  
Response Surface ◽  
Metal Ion ◽  
Simultaneous Removal ◽  
Major Cations ◽  
Experimental Parameters ◽  
Metal Oxide Nanostructures ◽  
Metal Oxide Nanomaterials ◽  
Removal Of Metal Ions

  The objectives of this study were to assess the suitability of metal oxide nanomaterials for removal of major cations Na+, K+, Ca2+ and Mg2+ from seawater. The as-synthesised nanomaterials were characterized using different techniques, such as XRD, TEM, and BET. The simultaneous removal of Na+, K+, Ca2+ and Mg2+ ion from aqueous solutions by α-Fe2O3 and SiO2/Nb2O5/Fe2O3 nanostructures was studied using batch method. The influence of different experimental parameters (such as initial metal ion concentrations, mass of adsorbent, sample pH and contact time) that affect the simultaneous removal of metal ions was studied using response surface methodology (RSM) based on small central composite design (SCCD). Under optimised conditions, the highest percentage removal was 75%, 92%, 93% and 85% for Na+, K+, Ca2+ and Mg2+, respectively.

scholarly journals Optimisation and Modelling of Pb (II) and Cu (II) Biosorption onto Red Algae (Gracilaria changii) by Using Response Surface Methodology

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2325 ◽  
Author(s):  
Mubeen Isam ◽  
Lavania Baloo ◽  
Shamsul Rahman Mohamed Kutty ◽  
Saba Yavari
Keyword(s):  
Response Surface Methodology ◽  
Metal Ions ◽  
Response Surface ◽  
Metal Ion ◽  
Ion Concentration ◽  
Solution Ph ◽  
Gracilaria Changii ◽  
Red Macroalgae ◽  
Removal Of Metal ◽  
Removal Of Metal Ions

The removal of Pb (II) and Cu (II) ions by using marine red macroalgae (Gracilaria changii) as a biosorbent material was evaluated through the batch equilibrium technique. The effect of solution pH on the removal of metal ions was investigated within the range of 2–7. The response surface methodology (RSM) technique involving central composite design (CCD) was utilised to optimise the three main sorption parameters, namely initial metal ion concentration, contact time, and biosorbent dosage, to achieve maximum ion removal. The models’ adequacy of response was verified by ANOVA. The optimum conditions for removal of Pb (II) and Cu (II) were as follows: pH values of 4.5 and 5, initial concentrations of 40 mg/L, contact times of 115 and 45 min, and biosorbent dosage of 1 g/L, at which the maximum removal percentages were 96.3% and 44.77%, respectively. The results of the adsorption isotherm study showed that the data fitted well with the Langmuir’s model for Pb (II) and Cu (II). The results of the adsorption kinetic study showed that the data fitted well with the pseudo-second order model for Pb (II) and Cu (II). In conclusion, red alga biomass exhibits great potential as an efficient low-cost sorbent for removal of metal ions.

scholarly journals Single-Crystalline Metal Oxide Nanostructures Synthesized by Plasma-Enhanced Thermal Oxidation

Nanomaterials ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 1405 ◽  
Author(s):  
Guo ◽  
Košiček ◽  
Fu ◽  
Qu ◽  
Lin ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Horizontal Tube ◽  
Single Crystalline ◽  
Oxide Nanostructures ◽  
Plasma Species ◽  
Custom Made ◽  
Metal Oxide Nanostructures ◽  
Metal Oxide Nanomaterials ◽  
Crystalline Metal ◽  
Horizontal Tube Furnace

To unravel the influence of the temperature and plasma species on the growth of single-crystalline metal oxide nanostructures, zinc, iron, and copper foils were used as substrates for the study of nanostructure synthesis in the glow discharge of the mixture of oxygen and argon gases by a custom-made plasma-enhanced horizontal tube furnace deposition system. The morphology and microstructure of the resulting metal oxide nanomaterials were controlled by changing the reaction temperature from 300 to 600 °C. Experimentally, we confirmed that single-crystalline zinc oxide, copper oxide, and iron oxide nanostructures with tunable morphologies (including nanowires, nanobelts, etc.) can be successfully synthesized via such procedure. A plausible growth mechanism for the synthesis of metal oxide nanostructures under the plasma-based process is proposed and supported by the nanostructure growth modelling. The results of this work are generic, confirmed on three different types of materials, and can be applied for the synthesis of a broader range of metal oxide nanostructures.

scholarly journals Response surface methodology as a powerful tool to optimize the synthesis of polymer-based graphene oxide nanocomposites for simultaneous removal of cationic and anionic heavy metal contaminants

RSC Advances ◽  
2017 ◽  
Vol 7 (30) ◽  
pp. 18480-18490 ◽  
Author(s):  
Jem Valerie D. Perez ◽  
Enrico T. Nadres ◽  
Hang Ngoc Nguyen ◽  
Maria Lourdes P. Dalida ◽  
Debora F. Rodrigues
Keyword(s):  
Heavy Metal ◽  
Response Surface Methodology ◽  
Graphene Oxide ◽  
Response Surface ◽  
Simultaneous Removal ◽  
Metal Contaminants ◽  
Heavy Metal Contaminants

Nanocomposites containing graphene oxide (GO), polyethyleneimine (PEI), and chitosan (CS) were synthesized for chromium(vi) and copper(ii) removal from water.

scholarly journals Response Surface Methodology for the Optimisation of Electrochemical Biosensors for Heavy Metals Detection

Biosensors ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Giuseppe De Benedetto ◽  
Sabrina Di Masi ◽  
Antonio Pennetta ◽  
Cosimino Malitesta
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Enzyme Concentration ◽  
Experimental Parameters ◽  
Number Of Cycles ◽  
Metal Ions Detection ◽  
First Time ◽  
Central Composite ◽  
Biosensor Response

Herein, we report the application of a chemometric tool for the optimisation of electrochemical biosensor performances. The experimental design was performed based on the responses of an amperometric biosensor developed for metal ions detection using the flow injection analysis. The electrode preparation and the working conditions were selected as experimental parameters, and thus, were modelled by a response surface methodology (RSM). In particular, enzyme concentration, flow rates, and number of cycles were reported as continuous factors, while the sensitivities of the biosensor (S, µA·mM−1) towards metals, such as Bi3+ and Al3+ were collected as responses and optimised by a central composite design (CCD). Bi3+ and Al3+ inhibition on the Pt/PPD/GOx biosensor response is for the first time reported. The optimal enzyme concentration, scan cycles and flow rate were found to be 50 U·mL−1, 30 and, 0.3 mL·min−1, respectively. Descriptive/predictive performances are discussed: the sensitivities of the optimised biosensor agreed with the experimental design prediction. The responses under the optimised conditions were also tested towards Ni2+ and Ag+ ions. The multivariate approach used in this work allowed us to obtain a wide working range for the biosensor, coupled with a high reproducibility of the response (RSD = 0.72%).

scholarly journals Simultaneous removal of Fe3+ and nitrate in the autotrophic denitrification immobilized systems

2017 ◽  
Vol 18 (5) ◽  
pp. 1625-1634
Author(s):  
Jun feng Su ◽  
Ting ting Lian ◽  
Ting lin Huang ◽  
Dong hui Liang ◽  
Wen dong Wang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Retention Time ◽  
Hydraulic Retention Time ◽  
Removal Rate ◽  
Nitrate Removal ◽  
Simultaneous Removal ◽  
Autotrophic Denitrification ◽  
Four Levels ◽  
Experimental Group

Abstract In this study, strain CC76, identified as Enterobacter sp., was tested for the reduction of Fe3+ and denitrification using immobilized pellets with strain CC76 as experimental group (IP) and immobilized pellets with strain CC76 and magnetite powder as experimental group (IPM) in the autotrophic denitrification immobilized systems (ADIS). Compared with IP, a higher nitrate removal rate was obtained with IPM by using three levels of influent Fe3+ (0, 5, and 10 mg/L), four levels of pH (5.0, 6.0, 7.0, and 8.0), and three levels of hydraulic retention time (HRT) (12, 14, and 16 h), respectively. Furthermore, response surface methodology (RSM) analysis demonstrated that the optimum removal ratios of nitrate of 87.21% (IP) and 96.27% (IPM) were observed under the following conditions: HRT of 12 h, pH of 7.0 and influent Fe3+ concentration of 5 mg/L (IP) and 1 mg/L (IPM).

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