Smartphone-based detection of dyes in water for environmental sustainability

Abstract

An ultra-low cost, field-deployable, plastic fiber based smartphone spectrometer system was developed to study dye adsorption from aqueous systems.

From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry

“…The next design [6] is illustrated in Figure 1a, which is a low-cost, portable, plastic fiber-based spectrometric smartphone to analyze dye adsorption for fielddeployable environmental and wastewater management. In the design, the rear camera of LG G4 (1/2.6″ sensor size with 5312 × 2988 resolution, 1.12 μm pixel size) was used to collect the spectral data of the assays.…”

“…Smartphone-based analysis has recently emerged as a useful tool, and it has been found to be promising in several fields including point-of-care analyses [1], chemical and biological sensing [2], microscopy and healthcare diagnostics [3], water quality sensing for environment [4][5][6], leaf color analysis for agriculture [7], pH [8,9] and glucose [10] sensing, fluorescent imaging [11], imaging cytometry [12], electrochemical sensing [13], and immunoassays [14].…”

“…The wavelength of the spectrum generally changes between 400 and 700 nm because of the optical filters set in front of the camera in the manufacturing process. Spectral information has been used in many applications including water monitoring [6], gas detection [26], and food quality control [27]. Smartphone colorimeters are commonly used instruments that quantify the concentration of the samples based on color changes due to concentration (like peroxide amount [28]) or time (methylene blue degradation [6]).…”

“…Spectral information has been used in many applications including water monitoring [6], gas detection [26], and food quality control [27]. Smartphone colorimeters are commonly used instruments that quantify the concentration of the samples based on color changes due to concentration (like peroxide amount [28]) or time (methylene blue degradation [6]). In the colorimetric analysis, features of the referenced images need to be extracted for training the system, mostly created with machine learning or neural networks, which perform the quantitative analysis for the test images.…”

Mobile Device Based Water Monitoring with Single Reference Image

“…With the help of 3D printers, smartphone spectrometer systems found wide range of colorimetric measurements application for chemical and biological analytes [3]. Some of them are water quality sensing for environment [4,5], leaf color analysis for agriculture [6], pH [7,8] and glucose [9] sensing, and peanut allergen detection [10]. Color data is mostly used in paper based sensors application where parameters from various color spaces, i.e.…”