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Researchers at Pennsylvania State University have developed an innovative sensor capable of diagnosing diabetes and prediabetes using a breath sample, potentially transforming the current diagnostic process. This groundbreaking approach could allow individuals to receive results in just minutes, eliminating the need for traditional lab visits.
In the United States, approximately one in five of the 37 million adults with diabetes remain undiagnosed. Conventional diagnostic methods often require healthcare visits and lab tests, which can be both costly and time-consuming. The new breath analysis technology aims to simplify this process significantly.
Led by Huanyu Cheng, a professor in the Department of Engineering Science and Mechanics, the research team's findings have been published in the Chemical Engineering Journal. The sensor is designed to detect acetone levels in the breath, an indicator of diabetes. While acetone is a common byproduct of fat metabolism found in everyone's breath, elevated levels above approximately 1.8 parts per million can signal diabetes.
Cheng noted that unlike existing methods that require sweat analysis--often necessitating physical exertion or chemical induction--this new sensor only requires a simple breath sample. Users need to exhale into a bag, dip the sensor into it, and wait a few minutes for the diagnosis.
Previous breath analysis technologies often identified more complex biomarkers that needed laboratory evaluation. In contrast, this novel sensor reads acetone levels directly on-site, making it both efficient and economical.
The design of the sensor incorporates laser-induced graphene, a material created by using a CO2 laser to transform carbon-rich substances, such as polyimide film, into porous graphene structures. This process is akin to burning bread to create carbon black if overcooked. By carefully adjusting the laser's power and speed, researchers can create a few-layered, porous graphene that is ideal for gas detection.
The high porosity of laser-induced graphene allows gases to pass through easily, increasing the likelihood of capturing acetone molecules, especially since exhaled breath contains a significant amount of moisture. To enhance the sensor's selectivity for acetone over other gases, zinc oxide was incorporated into the design, forming a junction that improves detection capabilities.
Another challenge faced by the researchers was the potential for water molecules in breath to interfere with acetone detection. To combat this issue, they introduced a selective membrane that blocks water while permitting acetone to pass through.
Currently, the sensor requires users to breathe directly into a bag to minimize environmental interference. Future developments aim to refine the device so it can be used more conveniently, possibly being worn under the nose or integrated into a mask, as acetone can also be measured in the condensation of exhaled breath.
Cheng expressed interest in exploring how this acetone-detecting breath sensor could assist in health initiatives. By monitoring how acetone levels fluctuate with diet and exercise, similar to glucose level changes, there could be wider applications for this technology beyond diabetes diagnosis.
For more information, the research is detailed in the study titled ZnO/LIG nanocomposites to detect acetone gas at room temperature with high sensitivity and low detection limit published in the Chemical Engineering Journal.
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