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Integrated wearable foam modified with WS2 nanosheets@MoS2 quantum dots for oral disease diagnosis and healthcare monitoring

CHEMICAL ENGINEERING JOURNAL(2023)

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摘要
To develop a sensitive point-of-care platform for screening hidden caries, periodontitis and functional dyskinesia is highly desirable. Breath analysis is considered as a promising method for non-invasive clinical diagnostics. When further combined with monitoring the movement disorders of maxillofacial region, the accuracy of disease diagnosis can be greatly improved. However, the design and investigation of integrated sensing platform for multiple stimuli are currently limited. In this study, a multifunctional heterostructure combined p-type WS2 nanosheets with n-type MoS2 quantum dots (WS2/MoS2 heterostructure) is designed for realizing multiparameters sensing via assistance of different substrate. The gas sensor based on an optimized WS2/MoS2 heterostructure (W:Mo = 300:1) exhibits an enhanced response (73.1 % to 1 ppm) and the limit of detection is 10 ppb at room temperature (25 degrees C) under UV assistance. The improvements in gas sensing performance can be attributed to the synergistic effect of heterostructure, sensitization of QDs and UV photoactivation. The electromechanical sensor achieved by modified WS2/MoS2 heterostructure on conductive TPU foam exhibits excellent linearity, as well as a wide sensing range of 10 %-160 % strain and 5-250 kPa pressure, respectively. In addition, it is effective in perceiving subtle or large oral and maxillofacial movements. Finally, a multifunctional wearable platform is successfully employed to differentiate the respiratory biomarkers of healthy individuals from simulated exhaled breath in patients with caries and periodontitis, and to discriminate bite force of incisors and molars in diverse populations. This wearable device offers a promising, practical, and sustainable strategy for mobile treatment platforms and personalized healthcare.
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关键词
Multiple stimuli sensing,NO 2 sensing,Strain/pressure sensing,Oral healthcare,Integrated sensing platform,Disease diagnosis
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