Breathalyser app diagnoses disease
Imagine if diagnosing a disease was as easy as breathing into a phone app. No needles and blood samples, no delayed diagnosis. This may soon be possible thanks to new technology developed in South Korea.
Leveraging a phone app, the researchers use gas concentrations in human breath to diagnose certain diseases.
Working under Professor Il-Doo Kim, the Korea Advanced Institute of Science and Technology (KAIST) research team has developed diagnostic sensors using protein-encapsulated nanocatalysts, which can diagnose certain diseases by analysing biomarker gases in a person’s exhaled breath.
Human breath contains diverse components including water vapour, hydrogen, acetone, toluene, ammonia, hydrogen sulfide and carbon monoxide, some of which are closely related to diseases such as asthma, lung cancer, type 1 diabetes mellitus and halitosis.
The researchers started the process by capturing exhaled breaths in a Tedlar bag and the captured breath gases were subsequently injected into a miniaturised sensor system, similar to an alcohol breathalyser. It was then possible to rapidly analyse exhaled breath with a simple process that detects trace changes in exhaled breath components, contributing to early diagnosis of diseases.
The research team developed a disease diagnosis platform that recognises individual breathing patterns by using a multisensor array system with diverse sensing layers and heterogeneous catalysts, so that the people can easily identify health abnormalities. Using a 16-sensor array system, physical conditions can be continuously monitored by analysing concentration changes of biomarkers in exhaled breath gases.
Professor Kim said, “New types of heterogeneous nanocatalysts were synthesised using protein templates with sizes around 2 nm and functionalised on various metal oxide nanofibre-sensing layers. The established sensing libraries can detect biomarker species with high sensitivity and selectivity.
“The new and innovative breath gas analysis platform will be very helpful for reducing medical expenditures and continuous monitoring of physical conditions.”
Patents related to this technology were licensed to two companies in March and June this year.
The study’s results were published in the Journal of the American Chemical Society.
Report: Blueprint needed for health and medical data ecosystem
A Digital Health CRC report on the state of the Australian health and medical data ecosystem has...
Continuous remote monitoring saves scoliosis surgery costs and ICU hours
For scoliosis surgery patients, Royal Perth Hospital has saved costs and reduced ICU hours as...
NHS hospital pilots AI in discharge summaries
In the UK, Chelsea and Westminster Hospital NHS Foundation Trust is piloting the use of AI in...