7 research outputs found

    High-Performance Flexible Humidity Sensor Based on MoO<sub><i>x</i></sub> Nanoparticle Films for Monitoring Human Respiration and Non-Contact Sensing

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    Flexible humidity sensors with high sensitivity, fast response time, and outstanding reliability have the potential to revolutionize electronic skin, healthcare, and non-contact sensing. In this study, we employed a straightforward nanocluster deposition technique to fabricate a resistive humidity sensor on a flexible substrate, using molybdenum oxide nanoparticles (MoOx NPs). We systematically evaluated the humidity-sensing behaviors of the MoOx NP film-based sensor and found that it exhibited exceptional sensing capabilities. Specifically, the sensor demonstrated high sensitivity (18.2 near zero humidity), a fast response/recovery time (1.7/2.2 s), and a wide relative humidity (RH) detection range (0–95%). The MoOx NP film, with its closely spaced granular nanostructure and high NP packing density, exhibited insensitivity to mechanical deformation, small hysteresis, good repeatability, and excellent stability. We also observed that the device exhibited distinct sensing kinetics in the range of high and low RH. Specifically, for RH > 43%, the response time showed a linear prolongation with increased RH. This behavior was attributed to two factors: the higher physical adsorption energy of H2O molecules and a multilayer physical adsorption process. In terms of applications, our sensor can be easily attached to a mask and has the potential to monitor human respiration owing to its high sensing performance. Additionally, the sensor was capable of dynamically tracking RH changes surrounding human skin, enabling a non-contact sensing capability. More significantly, we tested an integrated sensor array for its ability to detect moisture distribution in the external environment, demonstrating the potential of our sensor for contactless human–machine interaction. We believe that this innovation is particularly valuable during the COVID-19 epidemic, where cross-infection may be averted by the extensive use of contactless sensing. Overall, our findings demonstrate the tremendous potential of MoOx NP-based humidity sensors for a variety of applications, including healthcare, electronic skin, and non-contact sensing

    High-Performance Flexible Humidity Sensor Based on MoO<sub><i>x</i></sub> Nanoparticle Films for Monitoring Human Respiration and Non-Contact Sensing

    No full text
    Flexible humidity sensors with high sensitivity, fast response time, and outstanding reliability have the potential to revolutionize electronic skin, healthcare, and non-contact sensing. In this study, we employed a straightforward nanocluster deposition technique to fabricate a resistive humidity sensor on a flexible substrate, using molybdenum oxide nanoparticles (MoOx NPs). We systematically evaluated the humidity-sensing behaviors of the MoOx NP film-based sensor and found that it exhibited exceptional sensing capabilities. Specifically, the sensor demonstrated high sensitivity (18.2 near zero humidity), a fast response/recovery time (1.7/2.2 s), and a wide relative humidity (RH) detection range (0–95%). The MoOx NP film, with its closely spaced granular nanostructure and high NP packing density, exhibited insensitivity to mechanical deformation, small hysteresis, good repeatability, and excellent stability. We also observed that the device exhibited distinct sensing kinetics in the range of high and low RH. Specifically, for RH > 43%, the response time showed a linear prolongation with increased RH. This behavior was attributed to two factors: the higher physical adsorption energy of H2O molecules and a multilayer physical adsorption process. In terms of applications, our sensor can be easily attached to a mask and has the potential to monitor human respiration owing to its high sensing performance. Additionally, the sensor was capable of dynamically tracking RH changes surrounding human skin, enabling a non-contact sensing capability. More significantly, we tested an integrated sensor array for its ability to detect moisture distribution in the external environment, demonstrating the potential of our sensor for contactless human–machine interaction. We believe that this innovation is particularly valuable during the COVID-19 epidemic, where cross-infection may be averted by the extensive use of contactless sensing. Overall, our findings demonstrate the tremendous potential of MoOx NP-based humidity sensors for a variety of applications, including healthcare, electronic skin, and non-contact sensing

    Additional file 4 of Long-term PM2.5 exposure disrupts corneal epithelial homeostasis by impairing limbal stem/progenitor cells in humans and rat models

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    Additional file 4: Supplemental figures Fig. S1. Meta-analysis of fine particulate matter on corneal diseases. This meta-analysis was divided into the following two parts according to the data types in the study (binary variables or continuous variables). (A) 6 studies were plotted in a forest of binary variables and odds ratios (OR) were calculated (OR [95%CI]: 1.13 [1.05, 1.21], p = 0.001; Heterogeneity: I2 = 95%, p = 0.000. The heterogeneity exists). (B) 5 studies were plotted in a forest of continuous variables and regression coefficients (β) were calculated (β [95%CI]: 0.51 [0.38, 0.63], p = 0.000; Heterogeneity: I2 = 98.4%, p = 0.000. The heterogeneity exists). The final merged results indicated that fine particulate matter exposure is positively associated with corneal disease or related symptoms. Fig. S2. Ocular surface fluorescein sodium staining in short-term PM2.5 exposure rat model by slit lamp examination (N = 6 per group). Fig. S3. Schirmer’s test revealed that tear secretion was not notably affected by PM2.5 exposure after 2 days (N = 6 per group). Fig. S4. Limbal vascular morphology of short-term PM2.5 exposure rat model (scale bar, 300 μm) (N = 3 in each group). Fig. S5. Corneal innervation of short-term PM2.5 exposure rat model (scale bar, 100 μm) (N = 3 in each group)
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