Advances in Smartphone-Based Colorimetry and Fluorimetry.

Area of Science:

• Analytical Science
• Spectroscopy
• Mobile Technology

Background:

• Advancements in smartphone hardware enable their use as analytical tools.
• Smartphones offer portable, cost-effective alternatives to traditional laboratory equipment for field analysis.

Purpose of the Study:

• To review color models used in smartphone cameras for quantitative colorimetry and fluorimetry.
• To discuss the theoretical foundations, characteristics, and applications of these color models.
• To identify challenges and future directions in smartphone-based analytical methods.

Main Methods:

• Examination of color information extraction by smartphone cameras.
• Analysis of various color models for quantitative colorimetry and fluorimetry.
• Review of existing application cases and theoretical frameworks.

Main Results:

• Smartphones can extract color information for quantitative analysis.
• Different color models offer distinct advantages and characteristics for analytical tasks.
• Key challenges include sensitivity, accuracy, and experimental variability.

Conclusions:

• Smartphone-based colorimetry and fluorimetry show promise for resource-limited settings.
• Further research is needed to overcome technical limitations and enhance method reliability.
• Future directions involve optimizing color models and improving experimental standardization.