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Adsorption studies on the removal of hexavalent chromium from aqueous solution using a low cost fertilizer industry waste material
Abstract
Low cost fertilizer industry waste material called carbon slurry, produced in generators of fuel oil-based industrial generators, was converted into an effective and efficient adsorbent for the removal of hexavalent chromium(VI) from aqueous solutions. The waste was chemically treated, activated, characterized, and used for the adsorption of chromium. The work involves batch experiments to investigate the effect of contact time, pH, temperature, concentration, and adsorbent dose on the extent of adsorption by carbon slurry. The maximum adsorption was found at 70min, 2.0 pH, 4.0g/L dose, and 303K temperature. Maximum adsorption capacity (15.24mg/g) of Cr(VI) on carbon slurry was observed at 100mg/L initial Cr(VI) concentration. Langmuir and Freundlich adsorption isotherm models were applied to analyze adsorption data, and both were found to be applicable to this adsorption system, in terms of relatively high regression values. Thermodynamic parameters showed that the adsorption of Cr(VI) onto carbon slurry was feasible, spontaneous, and exothermic under the studied conditions. Kinetics of adsorption was found to follow the pseudo-second-order rate equation. Column studies have been carried out to compare these with the batch capacities. The recovery of Cr(VI) and chemical regeneration of the spent column have also been tried. In all, the results indicated that the adsorbent used in this work proved to be effective material for the treatment of chromium-bearing aqueous solutions.
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“In aqueous solution huge amount of hydroxyl ions are present at higher pH value which plays a role of barrier between negatively charged surface of biochar and ions with negative charge, which results in less sorption of Cr(VI) [33].”
From Adsorption-reduction performance of tea waste and rice husk biochars for Cr(VI) elimination from wastewater (2020) · cites this paper as [33]
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Metadata
- Authors
- Gupta, V. K., Rastogi, A., & Nayak, A.
- Affiliations
- King Fahd University of Petroleum and Minerals (SA)
- Indian Institute of Technology Roorkee (IN)
- Corresponding author
- Gupta, Vinod K.
- Venue
- Journal of Colloid and Interface Science
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 342
- Issue
- 1
- Pages
- 135-141
- ISSN
- 0021-9797 (ISSN-L)
- OpenAlex
- W2139984739
- Cited by
- 644
- References
- 39
- Citations by year
- 2026: 13 · 2025: 18 · 2024: 28 · 2023: 36 · 2022: 34 · 2021: 21 · 2020: 40 · 2019: 39 · 2018: 36 · 2017: 36 · 2016: 38 · 2015: 48 · 2014: 54 · 2013: 54 · 2012: 109
- FWCI
- 51.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Colloid and Interface Science (publishedVersion)
- PubMed (publishedVersion)
- Research Publication Repository of King Fahd University of Petroleum and Minerals (King Fahd University of Petroleum and Minerals) (acceptedVersion)
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Chromium effects and bioremediation
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental remediation with nanomaterials
- Keywords
- hexavalent chromium removal, adsorption, fertilizer industry waste, low-cost adsorbent, adsorption isotherms, Langmuir isotherm, Freundlich isotherm, adsorption thermodynamics, pseudo-second-order kinetics, column adsorption, adsorbent regeneration, heavy metal wastewater treatment
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.
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