Phosphate removal from water using freshly formed Fe–Mn binary oxide: Adsorption behaviors and mechanisms

Lǚ, Jianbo; Liu, Huijuan; Zhao, Xu; Jefferson, William A.; Cheng, Fang; Qu, Jiuhui

doi:10.1016/j.colsurfa.2014.04.034

Cited by 127 publications

(40 citation statements)

References 27 publications

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“…Among 21 various available technologies for phosphate decontamination, the 22 adsorption method is relatively simple, economical, and highly 23 efficient [5,6]. Various types of materials have been used as 24 adsorbents, such as Fe-Mn binary oxide [7], a metal oxide 25 adsorbent derived from manganese ore tailings [8], nanostruc- 26 tured Fe(III)-Cu(II) binary oxides [9], mesoporous Cr-Zr binary 27 oxide nanoadsorbent [10], magnetic Fe-Zr binary oxide [11], 28 aluminum compounds [12][13][14], and hydrous zirconium oxide- 29 based nanocomposites [4]. Composite metal oxides may show 30 physicochemical properties different from those of their single- 31 component oxide counterparts.…”

mentioning

confidence: 99%

Adsorption of phosphate ion in aqueous solutions by calcined cobalt hydroxide at different temperatures

Ogata

Imai

Toda³

et al. 2015

Journal of Environmental Chemical Engineering

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mentioning

confidence: 99%

Adsorption of phosphate ion in aqueous solutions by calcined cobalt hydroxide at different temperatures

Ogata

Imai

Toda³

et al. 2015

Journal of Environmental Chemical Engineering

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“…A peak at 1483 cm −1 (O–H bending vibration) is due to coordinated water molecules, and that at 1268 cm −1 (O–H bending vibration) indicated surface hydroxyl group on the algae–Mo surface (Wang et al 2014). Lu et al (2014) pointed out that the bands at 800 and 400 cm −1 could be ascribed to the metal oxide (here, MoO 2 ). As depicted in Fig.…”

Section: Resultsmentioning

confidence: 99%

Modification of Sargassum angustifolium by molybdate during a facile cultivation for high-rate phosphate removal from wastewater: structural characterization and adsorptive behavior

2016

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In this paper, a new and facile approach for molybdate loading in the brown algae of Sargassum angustifolium is introduced. The molybdate ions were entered into the algae body during a short cultivation to produce algae–Mo as a novel adsorbent for eliminating phosphate ions from synthetic and real wastewaters. Results of the surface analysis showed that molybdate loading onto the algae was successfully performed. Herein, basic variables, such as initial solution pH, adsorbent dosage, contact time, phosphate concentration, and temperature, were investigated in detail to assess the phosphate adsorption performance of algae–Mo. The pseudo-second-order kinetic model fitted our acquired experimental kinetic data most appropriately, in comparison to the use of a pseudo-first-order model. The Langmuir model appeared to fit the adsorption data more desirably than that of Freundlich and Dubnin–Radushkevich models, with a maximum phosphate adsorption capacity of 149.25 mg/g at 25 °C. The finding of the thermodynamic study revealed that the phosphate adsorption onto algae–Mo was spontaneous, feasible, and endothermic in nature. The study on Mo2+ ions leaching strongly suggested that the risk of Mo2+ leakage during phosphate adsorption was negligible at a wide pH range of 3–9. The adsorption efficiency attained was 53.4% at the sixth cycle of reusability. Two real wastewaters with different qualities were successfully treated by the algae–Mo, suggesting that the algae–Mo could be ordered for practical wastewater treatment.

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“…Therefore, the electrostatic attraction between anionic species of MO and EY dye and positively charged Fe‐Mn‐Zr trimetal oxide surface is playing the pivotal role in this adsorption mechanism. Hence for RSM based optimization study, solution pH was not considered as a variable as this particular parameter was kept fixed at 3.0 for all further experiments. However, for optimization study the other four process variables (initial MO concentration, initial EY concentration, contact time, and Fe‐Mn‐Zr trimetal oxide dose) were optimized for maximizing the MO and EY dye removal (%).…”

Section: Resultsmentioning

confidence: 99%

Enhanced adsorption performance of a novel Fe‐Mn‐Zr metal oxide nanocomposite adsorbent for anionic dyes from binary dye mix: Response surface optimization and neural network modeling

Singh

Kezo

Debnath

et al. 2017

Applied Organom Chemis

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A novel adsorbent, Fe‐Mn‐Zr metal oxide nanocomposite was synthesized and investigated for removal of methyl orange (MO) and eosin yellow (EY) dyes from binary dye solution. The magnetic nanocomposite has shown surface area of 143.01 m2/g and saturation magnetization of 15.29 emu/g. Optimization was carried out via response surface methodology (RSM) for optimizing process variables, and optimum dye removal of 99.26% and 99.55% were obtained for MO and EY dye, respectively with contact time 62 min, adsorbent dose 0.45 g/l, initial MO concentration 11.0 mg/l, and initial EY concentration 25.0 mg/l. A feed forward back propagation neural network model has shown better prediction ability than RSM model for predicting MO and EY dye removal (%). Adsorption process strictly follows Langmuir isotherm model, and enhanced adsorption capacities of 196.07 and 175.43 mg/g were observed for MO and EY dye, respectively due to synergistic effects of physicochemical properties of trimetal oxides. Surface adsorption and pore diffusions are the mechanisms involved in the adsorption as revealed from kinetic studies.

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Phosphate removal from water using freshly formed Fe–Mn binary oxide: Adsorption behaviors and mechanisms

Cited by 127 publications

References 27 publications

Adsorption of phosphate ion in aqueous solutions by calcined cobalt hydroxide at different temperatures

Adsorption of phosphate ion in aqueous solutions by calcined cobalt hydroxide at different temperatures

Modification of Sargassum angustifolium by molybdate during a facile cultivation for high-rate phosphate removal from wastewater: structural characterization and adsorptive behavior

Enhanced adsorption performance of a novel Fe‐Mn‐Zr metal oxide nanocomposite adsorbent for anionic dyes from binary dye mix: Response surface optimization and neural network modeling

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