Led by Dr. Hatice Ceylan Koydemir, researchers from the Department of Biomedical Engineering at Texas A&M University, have developed a wearable catheter sensor that, with the aid of a smartphone app, can detect UTIs at an earlier stage than traditional methods.
This new system has the potential to reduce patient complications caused by untreated UTIs.
Researchers have designed a smartphone app that is compatible with the sensor to serve as a remote control, provide data analysis, and alert users when infection is detected.
The team's novel wearable fluorescence sensor attaches to a catheter bag.
Ultraviolet LED lights shine into the bag and detect the fluorescence caused by the reaction.
A color sensor is used to monitor the sample, sending data to the smartphone app in real time.
The sensor was able to detect E. coli at lower levels than traditional methods in as few as three to nine hours.
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