Spectrophotometric determination of copper (II) ions in samples of modeled waters

The work examines the features of photometric determination of copper (II) ions in wastewater from several industrial facilities in the Navoi region. Xylene orange, which forms a stable colored complex compound with Cu (II), was used as an analytical reagent. Complex formation conditions, including pH of the medium and reagent concentration, have been optimized. The obtained results allowed for the development of a methodology for the quantitative determination of copper in the concentration range characteristic of real industrial wastewater. Wastewater samples were analyzed and the contamination level based on copper content was assessed.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-09
DOI
https://doi.org/10.5281/zenodo.17867488
Primary Topic
Water Quality Monitoring and Analysis
Type
article
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article

Spectrophotometric determination of copper (II) ions in samples of modeled waters

Zenodo (CERN European Organization for Nuclear Research)
Water Quality Monitoring and Analysis
article

Spectrophotometric determination of copper (II) ions in samples of modeled waters

article en

Abstract

The work examines the features of photometric determination of copper (II) ions in wastewater from several industrial facilities in the Navoi region. Xylene orange, which forms a stable colored complex compound with Cu (II), was used as an analytical reagent. Complex formation conditions, including pH of the medium and reagent concentration, have been optimized. The obtained results allowed for the development of a methodology for the quantitative determination of copper in the concentration range characteristic of real industrial wastewater. Wastewater samples were analyzed and the contamination level based on copper content was assessed.

Zenodo (CERN European Organization for Nuclear Research)
Navoi State University (UZ)
Clean water and sanitation
Openalex Percentile: Top 41%
Water Quality Monitoring and Analysis
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