Predicting the adsorption capacity of iron nanoparticles with metallic impurities (Cu, Ni and Pd) for arsenic removal: a DFT study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting the adsorption capacity of iron nanoparticles with metallic impurities (Cu, Ni and Pd) for arsenic removal: a DFT study

Published:2019-11-21 Issue:1 Volume:26 Page:127-139
ISSN:0929-5607
Container-title:Adsorption
language:en
Short-container-title:Adsorption

Author:

Alfonso Tobón Leslie L.,Branda María M.

Funder

Agencia Nacional de Promoción Científica y Tecnológica

Publisher

Springer Science and Business Media LLC

Subject

Surfaces and Interfaces,General Chemical Engineering,General Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s10450-019-00177-4.pdf

Reference44 articles.

1. Alfonso, L.L., Fuente, S., Branda, M.M.: Applied surface science electronic and magnetic properties of the adsorption of As harmful species on zero-valent Fe surfaces, clusters and nanoparticules. Appl. Surf. Sci. 465, 715–723 (2019). https://doi.org/10.1016/j.apsusc.2018.09.199

2. Allred, A.L.: Electronegativity values from termochemical data. Inorg. Nucl. Chem. 17, 215–221 (1961). https://doi.org/10.1016/0022-1902(61)80142-5

3. Babaee, Y., Mulligan, C.N., Rahaman, M.S.: Removal of arsenic (III) and arsenic (V) from aqueous solutions through adsorption by Fe/Cu nanoparticles. J. Chem. Technol. Biotechnol. 93, 63–71 (2018). https://doi.org/10.1002/jctb.5320

4. Blöchl, P.: Projector augmented wave method. Phys. Rev. B Condens. Matter. Mater. Phys. 50(24), 17953–17979 (1994). https://doi.org/10.1103/PhysRevB.48.13115

5. Chekli, L., Bayatsarmadi, B., Sekine, R., Sarkar, B., Shen, A.M., Scheckel, K.G., Skinner, W., Naidu, R., Shon, H.K., Lombi, E., Donner, E.: Analytical characterisation of nanoscale zero-valent iron: a methodological review. Anal. Chim. Acta 903, 13–35 (2016). https://doi.org/10.1016/j.aca.2015.10.040

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A combined experimental and DFT study on the zero valent iron/reduced graphene oxide doped QCM sensor for determination of trace concentrations of As using a Flow-batch system;Sensors and Actuators B: Chemical;2024-04

2. The impact of metal dopants on the properties of nZVI: a theoretical study;Journal of Physics: Materials;2024-01-01

3. Arsenic removal from natural gas condensate;Advances in Natural Gas: Formation, Processing, and Applications. Volume 5: Natural Gas Impurities and Condensate Removal;2024

4. On the adsorption of arsenic on single-walled carbon nanotube and Fe-doped single-walled carbon nanotube: a quantum chemical study;Chemical Papers;2023-10-31

5. The elimination of arsenic from natural gas condensate via pulse sieve-plate column: Experimental and application of DFT for chemical structure;Arabian Journal of Chemistry;2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3