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Updated: Aug 5, 2026

Atomic Layer Deposition of Vanadium Dioxide and a Temperature-dependent Optical Model
Published on: May 23, 2018
A Sensitive Cloud Point Extraction-Spectrophotometric Determination of Vanadium Using Pyrogallol and Aliquat 336
Andrea Gajdošová1, Petya Racheva2, Antoaneta Saravanska2
1Department of Analytical Chemistry, Institute of Chemistry, Faculty of Science, Pavol Jozef Šafárik University in Košice, Moyzesova 11, 04154 Kosice, Slovakia.
A new centrifuge-less cloud-point extraction method using pyrogallol (PG) efficiently determines total vanadium. This technique offers high sensitivity and selectivity for analyzing diverse samples like water and catalysts.
Area of Science:
- Analytical Chemistry
- Environmental Science
Background:
- Accurate determination of total vanadium is crucial for environmental monitoring and industrial applications.
- Existing methods for vanadium determination often require complex procedures or specialized equipment.
Purpose of the Study:
- To develop a novel, efficient, and environmentally friendly method for spectrophotometric determination of total vanadium.
- To establish a centrifuge-less cloud-point extraction (CL-CPE) technique utilizing pyrogallol (PG).
Main Methods:
- Employed a mixed micelle-mediated extraction system with Triton X-114 and Aliquat 336 (A336).
- Utilized pyrogallol (PG) to form an anionic chelate with vanadium.
- Spectrophotometric determination of the extracted vanadium-PG complex at its absorption maxima.
Main Results:
- Achieved a sevenfold preconcentration factor with high sensitivity (molar absorptivity of 3.2 × 10^7 L mol^-1 cm^-1).
- Obtained a low limit of detection (0.11 ng mL^-1) and Sandell sensitivity (1.6 × 10^-3 ng cm^-2).
- Demonstrated applicability in analyzing drinking water, spent catalysts, and dietary supplements.
Conclusions:
- The developed CL-CPE method offers a sensitive, selective, and practical approach for total vanadium determination.
- The method exhibits excellent analytical performance, environmental sustainability, and economic efficiency, as validated by the RGBfast model.
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