“We want to be able to analyze the sweat from daily exercise or from the heat of the sun because in sweat we have a lot of biomarkers, like pH and glucose that will be a really nice indicator for disease progression or diagnostics,” Cheng said.
The device will be applied to the body using a patch that can be placed in a location near sweat glands. It consists of a small vial with multiple chambers that has a hydrophobic valve near the opening made of silicone rubber. The channel has a hydrophilic coating for easy collection of the sweat. Unlike other devices that require two openings, the single opening reduces the amount of evaporation, leading to longer storage time for later analysis.
It is also possible to do on-the-spot analysis using a colorimetric approach in which a color-coded analyte is preplaced in the various chambers that responds to the pH or glucose level and can be determined by the naked eye or the photo taken by smartphones. Also, they can analyze the sweat at different time points using different chambers. This is called chrono-sampling.
“The two-valve device is more complicated and requires using a clean-room technique called photolithography. Our simpler one-valve device can be made without expensive equipment utilizing micromachining,” Cheng said.
The device will be of interest to the healthcare industry, and particularly to athletics, where it can be used to monitor overheating or to adjust exercise levels for optimum performance. They are also collaborating with a researcher at Penn State Hershey Medical School on disease monitoring. They can have one chamber color-coded for pH, a second for glucose and third for sodium, all of which are markers for disease.
Their results appear online in the journal Lab on a Chip in an article titled “Skin-interfaced microfluidic devices with one-opening chambers and hydrophilic valves for sweat collection and analysis.” Lead authors are Yingxue Zhang, co-advised by Cheng and Xiufeng Wang, Xiangtan University, China, and Wang’s student Yao Chen.
The work was supported by the National Natural Science Foundation of China, the Natural Science Foundation of Hunan Province, and Penn State.
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