Removal of arsenic from aqueous solution by adsorption on Leonardite

Chammui, Yuttasak; Sooksamiti, Ponlayuth; Naksata, Wimol; Thiansem, Sakdiphon; Arqueropanyo, Orn-anong

doi:10.1016/j.cej.2013.11.083

Cited by 83 publications

(29 citation statements)

References 24 publications

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“…Based on the data fitted with the Langmuir isotherm model, which corresponds to the monolayer coverage adsorption, the theoretical q m for As(V) was calculated as 17.76 mg/g. In Table , ANIS exhibited a superior adsorption capacity for As(V) compared with other low‐cost adsorbents . R 2 indicated that the Freundlich model fitted the adsorption isotherm data more efficiently than the Langmuir model did (Supporting Information Table S2).…”

Section: Resultsmentioning

confidence: 98%

Evaluation of Al‐based nanoparticle‐impregnated sawdust as an adsorbent from byproduct for the removal of arsenic(V) from aqueous solutions

Liu

Lei

et al. 2017

Env Prog and Sustain Energy

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In this research, sawdust was modified with chemical reagents to produce an adsorbent from byproduct, namely, Albased nanoparticle-impregnated sawdust (ANIS) to remove arsenate [As(V)] from aqueous solutions. Several methods, including scanning electron microscopy with an energy-dispersive spectrometry, Brunauer-Emmett-Teller surface area analysis, and thermogravimetric analysis, were performed to characterize this material. Results showed that Al-based nanoparticles were successfully impregnated in the sawdust and thus significantly changed their surface characteristics. Batch adsorption studies were conducted to determine the properties and mechanisms of As(V) adsorption onto ANIS. The maximum adsorption capacity of As(V) was 17.76 mg/g, which was higher than that of most adsorbents from byproducts. However, the adsorption of As(V) was adversely affected by alkaline conditions. Some interfering anions, especially phosphate, inhibited the ANIS-induced As(V) removal. Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy suggested that the oxygen-containing functional groups of Al oxides were the main contributors to As(V) adsorption, and the main adsorption mechanism was surface complexation. Approximately 2664 bed volumes of simulated groundwater containing 150 mg/L As(V) were treated before a breakthrough was observed in the small-scale column experiments. Thus, ANIS could be an efficient material for As(V) removal. This study indicated that ANIS can be used as a reliable option for As decontamination.

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Section: Resultsmentioning

confidence: 98%

Evaluation of Al‐based nanoparticle‐impregnated sawdust as an adsorbent from byproduct for the removal of arsenic(V) from aqueous solutions

Liu

Lei

et al. 2017

Env Prog and Sustain Energy

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“…In recent studies, a resin coated with nickel and nickel boride nanoparticles exhibited maximum adsorption capacities of 23.4 mg/g and 17.8 mg/g for As(III) and As(V), respectively, at pH 6 (Çiftçi and Henden, 2015), a mixed ferrite and hausmannite nanomaterial was reported to have maximum adsorption capacities of 41.5 mg/g and 13.9 mg/g for As(III) and As(V), respectively, at pH 3 (Garcia et al, 2014), while leonardite char achieved maximum adsorption capacities of 4.46 mg/g and 8.4 mg/g for As(III) and As(V), respectively, at pH 7 (Chammui et al, 2014). Zhang et al reported maximum adsorption C. Feng et al Minerals Engineering 110 (2017) 40-46 capacities of 122.3 mg/g and 82.7 mg/g for As(III) and As(V), respectively, at pH 7 by use of a Fe-Cu binary oxide sorbent (Zhang et al, 2013).…”

Section: Adsorption Isothermsmentioning

confidence: 97%

Removal of arsenic from alkaline process waters of gold cyanidation by use of Fe3O4@SiO2@TiO2 nanosorbents

Feng

Aldrich

Eksteen

et al. 2017

Minerals Engineering

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“…Arsenic is most effectively removed or stabilized when it is present in the arsenate form (Jekel 1994). The technologies for arsenic removal usually include the following processes: coagulation-filtration (Khan et al 2002;Wickramasinghe et al 2004;Bilici Baskan and Pala 2010;Mólgora et al 2013), membrane separation (Ning 2002;Shih 2005;Pal et al 2014), ion exchange (Flicklin 1983;Katsoyiannis and Zouboulis 2002;Tresintsi et al 2014), and adsorption (Lin and Wu 2001;Zeng 2003;Chammui et al 2014). Among these methods, adsorption offers many advantages including simple and stable operation, easy handling of waste, absence of added reagents, compact facilities, and generally lower operation cost (Akin et al 2012).…”

Section: Introductionmentioning

confidence: 98%

Arsenic removal by nanoparticles: a review

Habuda-Stanić

Nujić

2015

Environ Sci Pollut Res

155

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Contamination of natural waters with arsenic, which is both toxic and carcinogenic, is widespread. Among various technologies that have been employed for arsenic removal from water, such as coagulation, filtration, membrane separation, ion exchange, etc., adsorption offers many advantages including simple and stable operation, easy handling of waste, absence of added reagents, compact facilities, and generally lower operation cost, but the need for technological innovation for water purification is gaining attention worldwide. Nanotechnology is considered to play a crucial role in providing clean and affordable water to meet human demands. This review presents an overview of nanoparticles and nanobased adsorbents and its efficiencies in arsenic removal from water. The paper highlights the application of nanomaterials and their properties, mechanisms, and advantages over conventional adsorbents for arsenic removal from contaminated water.

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Removal of arsenic from aqueous solution by adsorption on Leonardite

Cited by 83 publications

References 24 publications

Evaluation of Al‐based nanoparticle‐impregnated sawdust as an adsorbent from byproduct for the removal of arsenic(V) from aqueous solutions

Evaluation of Al‐based nanoparticle‐impregnated sawdust as an adsorbent from byproduct for the removal of arsenic(V) from aqueous solutions

Removal of arsenic from alkaline process waters of gold cyanidation by use of Fe3O4@SiO2@TiO2 nanosorbents

Arsenic removal by nanoparticles: a review

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