The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Arsenic Removal Using Mesoporous Alumina Prepared via a Templating Method
Abstract
The health threat of arsenic is well-known, and the U.S. EPA recommends the maximum contaminant level to be 0.01 ppm or less for arsenic in drinking water. Therefore, advanced treatment processes are needed for finished water to meet the required regulations. Adsorption is considered to be a less expensive procedure that is safer to handle than precipitation, ion exchange, and membrane filtration. Activated alumina (AA) is the most commonly used adsorbent for the removal of arsenic from aqueous solutions. However, conventional porous solids including AA have ill-defined pore structures and, typically, low adsorption capacities and act in a kinetically slow manner. An ideal adsorbent should have uniformly accessible pores, an interlinked pore system, a high surface area, and physical and/or chemical stability. To meet this requirement, mesoprous alumina (MA) with a wide surface area (307 m2/g) and uniform pore size (3.5 nm) was prepared, and a spongelike interlinked pore system was developed through a post-hydrolysis method. The resulting MA was insoluble and stable within the range of pH 3-7. The maximum uptake of As(V) by MA was found to be 7 times higher [121 mg of As(V)/g and 47 mg of As(III)/ g] than that of conventional AA, and the kinetics of adsorption were also rapid with complete adsorption in less than 5 h as compared to the conventional AA (about 2 d to reach half of the equilibrium value). A desorption study using sodium hydroxide solutions (0.01-1 M) was conducted, and 0.05 M NaOH was found to be the most suitable desorption agent. More than 85% of the arsenic adsorbed to the MA was desorbed in less than 1 h. Several other activated aluminas with different pore properties were also tested. The results show that the surface area of the adsorbents does not greatly influence on the adsorption capacity. In fact, the key factor is a uniform pore size and an interlinked pore system. These studies show that MA with a wide surface area, uniform pore size, and interlinked pore system can be used as an efficient adsorbent for the removal of arsenic.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Levenspiel, O. (1999) · Industrial & Engineering Chemistry Research · doi:10.1021/ie990488g · Cited by 9,970
From Microporous to Mesoporous Molecular Sieve Materials and Their Use in Catalysis
Corma, A. (1997) · Chemical Reviews · doi:10.1021/cr960406n · Cited by 5,791
(1999) · Choice Reviews Online · doi:10.5860/choice.36-5112 · Cited by 1,774
Titanium-containing mesoporous molecular sieves for catalytic oxidation of aromatic compounds
Tanev, P. T., Chibwe, M., & Pinnavaia, T. J. (1994) · Nature · doi:10.1038/368321a0 · Cited by 1,774
Oremland, R. S., & Stolz, J. F. (2003) · Science · doi:10.1126/science.1081903 · Cited by 1,535
Hybrid Inorganic-Organic Mesoporous Silicates—Nanoscopic Reactors Coming of Age
Stein, A., Melde, B. J., & Schroden, R. C. (2000) · Advanced Materials · doi:10.1002/1521-4095(200010)12:19<1403::aid-adma1403>3.0.co;2-x · Cited by 1,531
The Biogeochemical Cycles of Trace Metals in the Oceans
Morel, F. M. M., & Price, N. M. (2003) · Science · doi:10.1126/science.1083545 · Cited by 1,193
Tanev, P. T., & Pinnavaia, T. J. (1996) · Chemistry of Materials · doi:10.1021/cm950549a · Cited by 646
Asymmetrical Schiff bases as inhibitors of mild steel corrosion in sulphuric acid media
Hosseini, M. G., Mertens, S. F. L., Ghorbani, M., et al. (2002) · Materials Chemistry and Physics · doi:10.1016/s0254-0584(02)00390-5 · Cited by 499
Rengaraj, S., Joo, C. K., Kim, Y., & Yi, J. (2003) · Journal of Hazardous Materials · doi:10.1016/s0304-3894(03)00209-7 · Cited by 485
Self-citation
Cited by
Insights into the modeling of adsorption isotherm systems
Foo, K. Y., & Hameed, B. H. (2010) · Chemical Engineering Journal · doi:10.1016/j.cej.2009.09.013 · Cited by 8,479
Arsenic removal from water/wastewater using adsorbents—A critical review
Mohan, D., & Pittman, C. U. (2007) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2007.01.006 · Cited by 3,536
Saleh, T. A., & Gupta, V. K. (2012) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2011.12.038 · Cited by 962
Isotherm models for adsorption of heavy metals from water - a review
Chen, X., Hossain, M. F., Duan, C., Lu, J., Tsang, Y. F., Islam, M. S., & Zhou, Y. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.135545 · Cited by 623
Natural Colorants: Historical, Processing and Sustainable Prospects
Yusuf, M., Shabbir, M., & Mohammad, F. (2017) · Natural Products and Bioprospecting · doi:10.1007/s13659-017-0119-9 · Cited by 597
Wang, L., Shi, C., Wang, L., Pan, L., Zhang, X., & Zou, J.-J. (2020) · Nanoscale · doi:10.1039/c9nr09274a · Cited by 523
Yang, L., Shahrivari, Z., Liu, P. K. T., Sahimi, M., & Tsotsis, T. T. (2005) · Industrial & Engineering Chemistry Research · doi:10.1021/ie049060u · Cited by 298
A brief review on natural dyes, pigments: Recent advances and future perspectives
Yadav, S., Tiwari, K. S., Gupta, C., Tiwari, M. K., Khan, A., & Sonkar, S. P. (2023) · Results in Chemistry · doi:10.1016/j.rechem.2022.100733 · Cited by 264
Yi, X., Sun, F., Han, Z., Han, F., He, J., Ou, M., Gu, J., & Xu, X. (2018) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2018.04.039 · Cited by 214
Mahmoodi, N. M., Khorramfar, S., & Najafi, F. (2011) · Desalination · doi:10.1016/j.desal.2011.05.059 · Cited by 126
Cui, H., Su, Y., Li, Q., Gao, S., & Shang, J. K. (2013) · Water Research · doi:10.1016/j.watres.2013.07.040 · Cited by 108
Biochars and Biochar Composites
Tareq, R., Akter, N., & Azam, M. S. (2019) · Biochar from Biomass and Waste · doi:10.1016/b978-0-12-811729-3.00010-8 · Cited by 73
Caporale, A. G., Pigna, M., Azam, S. M. G. G., Sommella, A., Rao, M. A., & Violante, A. (2013) · Chemical Engineering Journal · doi:10.1016/j.cej.2013.03.111 · Cited by 64
Pervez, M. N., Fu, D., Wang, X., Bao, Q., Yu, T., Naddeo, V., Tian, H., Cao, C., & Zhao, Y. (2021) · Environmental Technology & Innovation · doi:10.1016/j.eti.2021.101437 · Cited by 49
Metadata
- Authors
- Kim, Y., Kim, C., Choi, I., Rengaraj, S., & Yi, J.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-12-19
- Volume
- 38
- Issue
- 3
- Pages
- 924-931
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2080443640
- Cited by
- 658
- References
- 21
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
