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
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
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
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)
Additional file 3 of Long-term PM2.5 exposure disrupts corneal epithelial homeostasis by impairing limbal stem/progenitor cells in humans and rat models
Additional file 3: Table S3 The primers used for qPCR
Additional file 1 of Long-term PM2.5 exposure disrupts corneal epithelial homeostasis by impairing limbal stem/progenitor cells in humans and rat models
Additional file 1: Table S1. Mean/maximum/minimum value of limbal epithelium thickness in the two groups. *p < 0.05, **p < 0.01
Additional file 2 of Long-term PM2.5 exposure disrupts corneal epithelial homeostasis by impairing limbal stem/progenitor cells in humans and rat models
Additional file 2: Table S2 Detail of Spearman analysis table. *p < 0.05
Additional file 5 of Long-term PM2.5 exposure disrupts corneal epithelial homeostasis by impairing limbal stem/progenitor cells in humans and rat models
Additional file 5: text. S1 The rationale for the exposure treatment rat models