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Updated: May 10, 2025

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

Smartphone-Enabled Copper(II) Ion Quantification with an Optical Platform and Image Processing Algorithm.

Harison Rozak¹, Achmad Syarif Hidayat², Sylwia Oleszek³

¹Shibaura Institute of Technology Research Laboratories, Saitama 337-8570, Japan.

|April 28, 2025

Summary

This summary is machine-generated.

A smartphone camera quantifies copper(II) ions by measuring solution turbidity after adding dithiooxamide. This cost-effective method offers accurate copper detection for water quality monitoring.

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Published on: April 11, 2013

Area of Science:

Analytical Chemistry
Environmental Science
Optical Sensing

Background:

Copper(II) ion (Cu(II)) detection is crucial for water quality assessment.
Traditional methods can be expensive and require specialized equipment.
Developing accessible and portable detection methods is essential.

Purpose of the Study:

To develop and validate a smartphone-based optical method for quantifying Cu(II) ions.
To utilize turbidity changes induced by chelation for ion measurement.
To assess the method's performance against established analytical techniques.

Main Methods:

Cu(II) solutions were treated with dithiooxamide, forming insoluble copper dithiooxamide polymer particles.
Light transmission through the turbid solution was captured using a smartphone camera.
Image analysis involved RGB to HSV color space conversion and calculation of the V value, correlating to Cu(II) concentration.

Main Results:

The V value showed a linear relationship with Cu(II) concentration (0.22-15 mg/L).
The method achieved a limit of detection (LOD) of 0.30 mg/L, below WHO guidelines.
Results were validated using UV-vis spectroscopy and ICP-MS, with a relative standard deviation (RSD) of 1.2-9%.

Conclusions:

Smartphone-based turbidity measurement offers a viable, low-cost approach for Cu(II) quantification.
The developed method is sensitive and accurate enough for monitoring copper levels in drinking water.
This technology has potential for field-deployable water quality testing.