Determination of azo dyes using Smartphone Digital Image

Abstract

The development of an economical and simple colorimetric system based on a smartphone camera and image processing was included in this study. This method was applied to determine three azo dyes namely: Methyl Blue (M.B), Methyl Red (M.R) and Methyl Orange (M.O) using the smartphone's camera as a detector. The results of the radar diagrams were giving a good agreement with the results of the calibration curves which were built using data of RGB for each dye. For establishing the accuracy and precision of this method, a classical method (spectrophotometric) was used for validation. This advancement in smartphone-based detection and identification systems will revolutionize environmental monitoring, ensuring rapid and effective diagnosis of contaminants for individuals and communities. Streamlining the Digital image colorimetry DIC process on smartphones is essential to public health and safety while promoting more conscious and sustainable practices worldwide.