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The goal of the greater project is to provide students with hands-on learning experiences while removing cost as a barrier to participation. Our Low-Cost Desktop Learning Modules (or LCDLMs) help students visualize and experience engineering concepts where books prove less than adequate and provide class members with the opportunity to learn as a group and collaborate with one another. LCDLMs have been found to improve motivation and attention while providing direct and vicarious learning opportunities, encouraging information retention in a learning environment. The goal of this paper is to introduce the latest LCDLM in development, for glucose analysis, which will mark the first LCDLM to feature a chemical reaction. In this paper we will also go over future work to be done to make the glucose analyzer viable for classroom use. The new module will feature a glucose solution meant for analysis, a set of reagents to convert the solution from transparent to a red-violet color of intensity correlated to the glucose concentration, and a simple apparatus students can use to read the concentration of the sample. The apparatus is meant to be used to teach students multiple engineering concepts through visual demonstration. In this LCDLM concept, chemicals from a set of reservoirs flow through a transparent microfluidics mixing chamber, which leads to a colorimetric reaction based on the amount of glucose present, teaching students about kinetics and, to a lesser extent, microfluidics. Dissolved oxygen is a limiting reagent, which will demonstrate to students the relevance of stoichiometry and mass transfer in a closed system. The mixture then collects in a chamber with two transparent sides. Green light passes through the red solution and into the lens of a smartphone camera to measure the intensity of the light. This is meant to demonstrate Beer’s law and complimentary colors. The more light that can pass through, the lower the glucose concentration. Students will need to measure a series of solutions with varied but known concentrations, construct a calibration curve, and then find an unknown solution concentration based on where an absorbance reading falls on the curve, modeling a routine wet lab test but without the need for expensive instrumentation. Prototyping is needed before a definitive version can be implemented in the classroom. The final design for the analyzer, how it will be assembled, parts to be used, etc., is being determined, and up-to-date results will be presented. The geometry of the mixing chamber with attached reservoirs for adding reagents must be optimized for small samples. The plan is to design a 3D model in SolidWorks and then cut out a prototype from an acrylic sheet with a laser cutter. The prototype will then be tested for leaks. The module itself will consist of the channel sheet glued between two other sheets, making assembly straightforward.
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mHealth dipstick analyzer for monitoring of pregnancy complications
Dipstick-based urinalysis is routinely used for detection of early signs of such pregnancy complications, as preeclampsia and gestational diabetes. Usually it is done in doctor’s office using an automatic dipstick analyzer. Here we present a novel smartphone-based colorimeter and demonstrate its application to the measurements of glucose and protein concentrations in biological samples. The key innovations of our approach was to combine powerful image processing encoded into a mobile phone application with a low cost 3D printed sample holder that allowed to control lighting conditions and significantly improved sensitivity. Different solutions with protein and glucose concentrations ranging from 0 to 2000 mg/dL were prepared and analyzed using our system. The smartphone-based colorimeter always correctly classified the corresponding reagent strip pads, what confirms that it can be used as a low cost alternative for commercial dipstick analyzers.
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- Award ID(s):
- 1640650
- PAR ID:
- 10025401
- Date Published:
- Journal Name:
- IEEE Sensors 2016
- Page Range / eLocation ID:
- 1 to 3
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/ICSENS.2016.7808968
