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Colorimetric glucose detection.pdf (6.06 MB)
A Portable Smartphone-Based Platform with an Offline Image Processing Tool for Rapid Paper-Based Colorimetric Detection of Glucose in Artificial Saliva
Preprints are manuscripts made publicly available before they have been submitted for formal peer review and publication. They might contain new research findings or data. Preprints can be a draft or final version of an author's research but must not have been accepted for publication at the time of submission.
submitted on 01.07.2020 and posted on 02.07.2020by Tansu Golcez, Volkan Kilic, Mustafa Sen
Paper-based sensors have great potential for use in a variety of areas, from environmental monitoring to clinical and pointof-care testings. Here, a microfluidic paper-based analytical device (µPAD) was integrated with a smartphone app capable of
offline (without internet access) image processing and analysis for rapid colorimetric detection of glucose. A self-inking stamp
was used to form hydrophobic channels on a piece of paper-towel due to its superior water absorption efficiency. As demonstrated,
the developed sensor was employed for colorimetric detection of glucose in artificial saliva in the linear scope of 0-1 mM with
a calculated detection limit of 29.65 µM. In addition, experimental results show that quantitative analysis of glucose with the
proposed smartphone platform could be completed in less than one minute. The app developed for the smartphone platform is
capable of extracting the color changing area with an embedded image processing tool which could address the problem of color
uniformity in detection zones of µPAD. The total cost of a µPAD is less than $0.2. By integrating µPAD with a smartphone and
user-friendly app together, the proposed smartphone-based platform could be used for the quantitative analysis of glucose with
advantages such as portability, simple operation, rapid response, ultra-low cost, field-deployable, selectivity and sensitivity. The
results show that the integrated platform has great potential to be used for non-invasive measurement of glucose in body fluids
like a tear, sweat and saliva.