陈克正

教授

教授 博士生导师 硕士生导师

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Intelligent fiber-based sensors for continuous monitoring of levodopa concentration and real-time Parkinson management

发布时间:2025-07-14 点击次数:

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摘要:Current Parkinson's disease (PD) management often fails to account for the complex relationship between fluctuating drug levels and symptom iability. Here, fiber-based biochemical and biomechanical sensors have been engineered for continuous monitoring of levodopa levels and motor symptoms. These biochemical sensors exhibit remarkable selectivity and sensitivity towards levodopa, with a linear detection range spanning from 1 mu M to 250 mu M and a detection limit as low as 0.13 mu M. This high-performance detection capability allows for real-time, non-invasive therapeutic drug monitoring, offering insights into disease progre and patient response. Furthermore, triboelectric nanogenerator sensors are integrated to track subtle motor symptoms, such as tremors, complementing the biochemical data. This dual approach provides a comprehensive assessment of PD, enabling personalized treatment strategies by continuously evaluating both drug levels and symptom fluctuations. The combination of these technologies represents a significant advancement in PD management, offering real-time insights that inform pharmacotherapy adjustments and clinical decisions.
卷号:61
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