Colorimetry Combined with Inner Filter Effect-Based Fluorometry: A Versatile and Robust Strategy for Multimode...

Area of Science:

• Analytical Chemistry
• Materials Science
• Nanotechnology

Background:

• Food dyes require accurate detection methods.
• Existing methods can be complex and time-consuming.
• Developing rapid, on-site detection tools is crucial.

Purpose of the Study:

• To develop a multimode visualization strategy for food dyes.
• To utilize CdTe quantum-dots-doped fluorescent indicator papers.
• To create a sample-to-answer device for food dye analysis.

Main Methods:

• Combined colorimetry and inner filter effect (IFE)-based fluorometry.
• Extracted food dyes via electrostatic interaction and hydrophobic effect.
• Analyzed color and fluorescence data using a smartphone application and digital image analysis.
• Quantified food dye concentrations through direct alignment and linear regression.

Main Results:

• Established concentration mapping for Sunset Yellow, Allura Red, and Brilliant Blue.
• Demonstrated successful deduction and cross-validation of food dye dosages in real beverages and effluents.
• Achieved high reliability through cross-validation with spectrometric methods, HPLC, and MS.

Conclusions:

• The inner filter effect (IFE) mechanism is broadly applicable for fluorometric systems.
• Cross-validation of visualization modes significantly enhances detection accuracy.
• This approach provides a reliable "lab-on-paper" platform for visualization applications.