What is it about?

In this paper, colorimetric analysis for biochemical samples has been realized, by developing an easy-to-use smartphone colorimetric sensing android application that can measure the molar concentration of the biochemical liquid analyte. The designed application can be used for on-site testing and measurement. We examined three different biochemical materials with the application after preparation with five different concentrations and testing in laboratory settings, namely glucose, triglycerides, and urea. Our results showed that for glucose triglycerides, and urea the absorbance and transmittance regression coefficient (R2) for the colorimetric sensing application were 0.9825, and 0.9899; 0.9405 and 0.9502; 0.9431 and 0.8597, respectively. While for the spectrophotometer measurement the (R2) values were 0.9973 @560 nm and 0.9793 @600 nm; 0.952 @620 nm and 0.9364 @410 nm; 0.9948 @570 nm and 0.9827 @530 nm, respectively. The novelty of our study lies in the accurate prediction of multiple biochemical materials concentrations in various lightning effects, reducing the measurement time in an easy-to-use portable environment without the need for internet access, also tackling various issues that arise in the traditional measurements like power consumption, heating, and calibration. The ability to convey multiple tasks, prediction of concentration, measurement of both absorbance and transmittance, with error estimation charts and (R2) values reporting within the colorimetric sensing application as far as our knowledge there has not been any application that can provide all the capabilities of our application.

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Why is it important?

The colorimetric sensing application developed here can be a good candidate for a variety of biochemical materials that enable the interested users to perform rapid testing and measurement of material concentration based on the simple image capturing of the carefully prepared samples. We believe that continuing this approach is of interest to rapid test, measurement, detection, and diagnosis studies that rely on the concept of colorimetry. The efficiency and reliability of the colorimetric sensing application with high accuracy concentration prediction is a promising application that can benefit researchers worldwide.


The designed application here can overcome different lighting conditions of the samples by inserting the fitting parameter to the application, in which, the molar absorptivity can be calibrated regardless of the illumination light type. This is shown as in Fig. 1, different lighting parameters were chosen to check for the practicality of the application to predict the concentrations of the materials under different lightening circumstances, so even when different environmental lighting is the case, the application by simple calibration of the data can overcome this issu

Dr. Taif Alawsi
University of Technology

Read the Original

This page is a summary of: Smartphone-based colorimetric sensor application for measuring biochemical material concentration, Sensing and Bio-Sensing Research, June 2021, Elsevier,
DOI: 10.1016/j.sbsr.2021.100404.
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