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Updated: Sep 14, 2025

Accumulation and Analysis of Cuprous Ions in a Copper Sulfate Plating Solution
Published on: March 20, 2019
Colorimetric measurement of copper(II) in sand using direct electrokinetic extraction into a polymer inclusion
Jia Jia Seet1, Eddie A Nagul2, Spas D Kolev3
1Australian Centre for Research on Separation Science (ACROSS), University of Tasmania, Hobart, 7001, Tasmania, Australia.
Background:
Soil pollution by heavy metals from extensive exploration and processing has increased the demand for their analysis in soil. Traditional analysis is mostly laboratory-based due to the requirement for sample preparation, e.g., utilising HNO3 to digest and extract the heavy metals in solid soil matrix into a liquid matrix. This not only lengthens the analysis process but also reduces the feasibility of in-field analysis because of the use of hazardous chemicals. Alternative approaches that are low-cost and environmentally friendly, while also allowing in-field analysis with minimal skill requirements need to be developed for better screening and monitoring purposes.
Results:
An electrokinetic extraction system was developed for the direct quantification of Cu(II) in silica sand and tailings samples using a colorimetric polymer inclusion membrane (PIM). Using an electric field, heavy metals are mobilised from the silica sand and move into the PIM where they complex with the colorimetric reagent, 1-(2-pyridylazo)-2-naphthol (PAN), causing a colour change proportional to the Cu(II) concentration. This was explored with Cu(II) spiked into silica sand, whereby a linear detection range of 0.30 μg-2.35 μg of Cu(II) (equivalent to 1.20-9.40 μg of Cu(II) per gram of sand) was achieved.
Significance:
This is the first demonstration of electrokinetic extraction of ions from a solid material and shows potential for minimising sample pretreatment processes for in-field chemical analysis. The system is small in size and dry-to-touch and enables quantification using a low sample volume while remaining easily portable. Quantification through image analysis reduces the requirement for specialised skills.
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