New Imaging Method of Mobile Phone-Based Colorimetric Sensor for Iron Quantification

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Point-of-Care Diagnostics

Background:

• Iron deficiency and overload affect millions globally, necessitating accessible diagnostic tools.
• Previous research established a low-cost, point-of-care finger-prick blood test for iron measurement.
• Variations in environmental illumination and camera quality previously impacted test accuracy.

Purpose of the Study:

• To develop an improved imaging method for accurate iron detection using smartphone cameras.
• To overcome limitations of environmental illumination and camera variability in sensor readings.
• To enhance the reliability and accessibility of point-of-care iron level monitoring.

Main Methods:

• Utilized smartphone cameras as analytical instruments for sensor image acquisition.
• Developed an image processing technique to compensate for varying lighting conditions.
• Validated the method across different smartphone models to assess robustness.

Main Results:

• Achieved an average coefficient of variation of 5.13% across various smartphone models.
• Demonstrated an 8.80% improvement in absorbance measurement accuracy compared to prior methods.
• Confirmed enhanced iron detection accuracy under diverse environmental lighting.

Conclusions:

• The improved imaging method significantly enhances the accuracy of smartphone-based iron detection.
• This approach offers a robust and accessible solution for point-of-care diagnostics.
• The technology holds potential for adapting smartphone sensing to other colorimetric assays.