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Single-Image-Referenced Colorimetric Water Quality Detection Using a Smartphone.

Volkan Kılıç1, Gazihan Alankus2, Nesrin Horzum1

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This study introduces a smartphone platform for water quality testing using the built-in camera. The system accurately detects contaminant concentrations in water samples, offering a portable solution for environmental monitoring.

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Mobile Health

Background:

  • Traditional water quality monitoring methods can be expensive and time-consuming.
  • There is a need for accessible and portable water testing solutions.

Purpose of the Study:

  • To develop and validate a smartphone-based platform for colorimetric water quality detection.
  • To assess the accuracy and feasibility of the platform for real-world applications.

Main Methods:

  • Utilized a smartphone's built-in camera to capture reference images for colorimetric assays.
  • Developed a custom mobile application for image processing, reference model training, and concentration calculation.
  • Tested the platform on four different water quality colorimetric assays across various concentration levels.

Main Results:

  • The smartphone platform achieved approximately 100% accuracy for colorimetric assays with distinct color changes.
  • Demonstrated reliable performance in calculating unknown solution concentrations under experimental conditions.

Conclusions:

  • The developed smartphone platform offers a portable, cost-effective, and user-friendly solution for water quality monitoring.
  • This technology shows significant promise for widespread application in environmental surveillance and public health.