MIL-OSI Russia: Chinese scientists develop wearable sweat analysis system for early warning of Parkinson’s disease

Translation. Region: Russian Federal

Source: People’s Republic of China in Russian – People’s Republic of China in Russian –

Source: People’s Republic of China – State Council News

CHANGCHUN, June 11 (Xinhua) — A Chinese research team led by Zhang Qiang, a researcher with the Changchun Institute of Applied Chemistry under the Chinese Academy of Sciences (CAS), has successfully developed a fully integrated wearable sweat sensor for online analysis of multiple biomarkers related to Parkinson’s disease.

The results of their research were published on Tuesday Beijing time in the scientific journal Advanced Materials.

According to its results, the system allows for real-time detection of biomarkers in sweat, which allows non-invasive monitoring of disease progression over time. This opens up new opportunities for early intervention during the “golden window” in the treatment of patients with Parkinson’s disease.

Parkinson’s disease is a progressive neurodegenerative disorder that is difficult to detect in its early stages. Symptoms such as tremors and slowness of movement may not appear until many years after the initial degeneration of neurons. Without treatment, patients currently rely primarily on long-term drug therapy. Early diagnosis and prognosis are therefore incredibly important in the treatment of Parkinson’s disease.

“It’s only the size of a patch, but it contains a ‘miniature detector’ that we developed,” Zhang Qiang said. “It’s like installing a translator that converts the biological signals contained in sweat into user-friendly information that patients can understand.”

Compared with traditional invasive testing, the flexible sensor device can overcome many technical problems.

“It’s as easy to use as a watch,” Zhang Qiang added.

“We hope that in the future, people at high risk of developing Parkinson’s disease will be able to access this health monitoring system,” Zhang Qiang said, adding that it will provide key technological support for the early diagnosis and prognosis of Parkinson’s disease. -0-

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