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A Rapid Enrichment Technique for the Ultratrace Determination of Nickel in Water Samples Using a Nanofiber-composite Membrane Filter

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Abstract

A new method for the rapid enrichment and highly sensitive determination of nickel ion has been developed by using a nanofiber-composite membrane filter, which was fabricated by stacking a nanofibrous material made of nylon 6 over a water-permeable membrane filter. The noncharged nickel-α-furil dioxime complex was adsorbed on a nanofibrous layer of the membrane filter under significantly higher flow rates than those used for conventional solid-phase extraction techniques. Highly sensitive determinations with detection limits at sub-parts per billion levels were achieved by enrichment from 50 mL of the complex solution, and the enrichment was completed within 3 min. The color that was developed on the membrane filter was successfully subjected to visual colorimetric analysis and quantitative determination by solid-phase spectrophotometry. In addition, colorimetric determination was feasible with a handheld spectrometer after elution of the colored agent with 50 μL of acetone. This combination of rapid enrichment and spectrometric measurement in a small-volume sample provides a useful analytical method suitable for on-site analysis, which requires neither expensive instruments nor high laboratory skills.

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Acknowledgements

This work was supported by the Matching Planner Program (MP28116808745) from the Japan Science and Technology Agency (JST). The authors thank Mr. Tomoyuki Ueki (a technical staff member of Tokushima University) for helpful assistance in the SEM observation. We also express appreciation to Mr. Kinichi Morita and Ms. Tomomi Murakami of Ushio Inc. for helpful discussions related to colorimetric determinations with the handheld spectrometer.

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Correspondence to Hitoshi Mizuguchi.

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Mizuguchi, H., Ishida, R., Kouno, Y. et al. A Rapid Enrichment Technique for the Ultratrace Determination of Nickel in Water Samples Using a Nanofiber-composite Membrane Filter. ANAL. SCI. 34, 907–912 (2018). https://doi.org/10.2116/analsci.18P093

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