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Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical

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Summary

Digital image colorimetry (DIC) using smartphones offers a low-cost analytical method. A new standardized approach with custom software and a 3D printed light box ensures comparable measurements across different devices.

Keywords:
DICRALcolor reproducibilityhydrogen peroxidelight boxpHsmartphonestandardization

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Area of Science:

  • Analytical Chemistry
  • Color Science
  • Mobile Technology Applications

Background:

  • Digital image colorimetry (DIC) on smartphones has emerged as a significant analytical technique due to its speed, low cost, and accessibility.
  • Despite its widespread use, DIC faces challenges including inter-device measurement variability, image data storage formats, and inconsistent illumination.
  • These unresolved issues limit the reliability and broad adoption of smartphone-based colorimetric analyses.

Purpose of the Study:

  • To propose and validate a novel methodology for standardizing and correcting digital image colorimetry measurements obtained from smartphones.
  • To address common problems such as smartphone variability and illumination inconsistencies.
  • To demonstrate the feasibility of achieving comparable colorimetric results across different smartphone models and brands.

Main Methods:

  • Development of custom software for image processing and data analysis.
  • Utilization of a 3D-printed light box to ensure consistent and controlled illumination conditions.
  • Application of the developed methodology to three distinct colorimetric analyses using various smartphone types and brands.

Main Results:

  • The proposed methodology successfully standardized measurements, reducing variability between different smartphones.
  • Comparable and reliable quantitative colorimetric data were achieved across diverse devices.
  • The effectiveness of the custom software and 3D printed light box in overcoming common DIC challenges was demonstrated.

Conclusions:

  • The developed methodology provides a robust solution for standardizing smartphone-based digital image colorimetry.
  • This approach enables reliable and comparable measurements, enhancing the utility of DIC in various analytical applications.
  • The findings pave the way for broader application of this accessible technology in sectors like food, industry, agriculture, and health.