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Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Related Experiment Video

Updated: Aug 17, 2025

Removal of Arsenic Using a Cationic Polymer Gel Impregnated with Iron Hydroxide
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Arsenic removal from aqueous solution: A comprehensive synthesis with meta-data.

Sanjida Aktar1, Shamim Mia2, Tomoyuki Makino3

  • 1Department of Environmental Science, Patuakhali Science and Technology University, Patuakhali 8602, Bangladesh.

The Science of the Total Environment
|December 12, 2022
PubMed
Summary

Nanoparticles exhibit superior arsenic sorption capacity for drinking water purification. Research should prioritize developing cost-effective, reusable adsorbents for arsenic removal.

Keywords:
Activated carbonAdsorptionArsenic removalBiocharBiosorbentsClayNanocomposites

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Area of Science:

  • Environmental Science
  • Materials Science
  • Water Chemistry

Background:

  • Arsenic contamination in drinking water is a critical global health issue.
  • Adsorptive removal is a highly effective method, but sorbent capacity varies significantly.
  • Understanding factors influencing sorption is crucial for optimizing arsenic removal.

Approach:

  • Conducted a meta-analysis, ANOVA, scientometric, and regression analysis.
  • Quantitatively estimated adsorption maxima (Qmax) for various sorbents.
  • Evaluated the impact of experimental conditions on arsenic adsorption.

Key Points:

  • Nanoparticles demonstrated the highest sorption capacity for arsenic.
  • Pre-doped biochar outperformed other biochar variants.
  • Arsenic (V) removal was generally more effective than Arsenic (III) removal.
  • Higher point of zero charge (PZC) and positive surface charge enhanced adsorption.

Conclusions:

  • Findings offer molecular insights into arsenic sorption mechanisms.
  • Highlights the need for low-cost, reusable adsorbents and safe disposal methods.
  • Provides guidance for designing efficient sorbents for arsenic remediation in drinking water.