“…To determine the preparation of CNF, the anchored loading of carbon nanomaterials, and the surface deposition of PDA, the samples of PAN, CNF, and each step were tested for XRD characterization in the range of 10 to 90° (2θ) (Figure a). Based on the short-range ordering in the molecular chains of TPU and the disordered structure of the amorphous phase, a broad characteristic diffraction peak at 2θ = 21.2° exists, while the broad peaks at around 24.4 and 44.1° for CNF represent the (002) and (100) crystal planes, respectively, belonging to graphitic carbon, which demonstrates the formation of the graphitic structure in CNF, and the weak intensity of the (100) peak proves a good degree of degree of graphitization. − After the subsequent attachment of carbon nanomaterials and the PDA coating process, the peaks occur accordingly shifted due to the large amount of coupling between the encapsulation layer, conductive filler and the substrate . For example, during the ultrasonic attachment process, the cavitation bubbles collapse on the surface of the carbon nanomaterials and generate high-frequency oscillating jets, which drive them to bombard TPU nanofibers at high speed to produce interface collisions, at which time the kinetic energy is converted into thermal energy, resulting in transient high temperatures on the surface of the fiber microarea and softening or melting.…”
Section: Resultsmentioning
confidence: 99%
“…Based on previous studies, increasing the loading sites of the substrate or the loading rate per unit area to improve the anchoring amount of the active filler can increase the density of the conductive network as well as the conductivity in the functional layer, expand the resistance variation interval, and thus improve the sensitivity and response range of the device . The porous structure and nanoscale present in the nonwoven fiber membranes prepared by the electrospinning process enable them to have a specific surface area and surface activity that far exceed those of dense membranes, which can provide more loading sites and attachment efficiency, and thus are often used as a reliable choice for CPC sensor substrates. , By anchoring CNT to thermoplastic polyurethane (TPU) nanofiber membranes, Yu et al prepared a composite fiber sensor that achieved a gauge factor (GF) of 110.0 in the commonly used response range of 0–50%, with the corresponding wet-spun-prepared micron fiber substrate performing at only 10.2. , Significant increases in loading rates can be achieved by improving the dispersion of the active filler or its compatibility with the substrate, inhibiting agglomeration of the active material, and promoting selective adsorption with the substrate. As nonpolar material with inert surface, CB and CNF tend to agglomerate in water with low dispersibility.…”
Section: Introductionmentioning
confidence: 99%
“…Yu et al utilized surface modification with PDA to obtain adhesive DATPU substrates. The adhesive linkage of PDA amplified the destruction intensity of the conductive layer during strain, allowing it to exhibit a GF of 208.9 (0–50%), which is twice that of the TPU substrate (GF = 110.0) …”
Section: Introductionmentioning
confidence: 99%
“…13,14 By anchoring CNT to thermoplastic polyurethane (TPU) nanofiber membranes, Yu et al prepared a composite fiber sensor that achieved a gauge factor (GF) of 110.0 in the commonly used response range of 0−50%, with the corresponding wet-spun-prepared micron fiber substrate performing at only 10.2. 15,16 Significant increases in loading rates can be achieved by improving the dispersion of the active filler or its compatibility with the substrate, inhibiting agglomeration of the active material, and promoting selective adsorption with the substrate. As nonpolar material with inert surface, CB and CNF tend to agglomerate in water with low dispersibility.…”
Developing flexible wearable strain sensors that combine high performance and cost-effectiveness remains a challenge. We proposed the polarity-induced adsorption theory based on the like dissolves like principle, which can dramatically increase the loading rate of carbon nanomaterials on TPU electrospun nanofiber substrates, and constructed flexible PDA/ CB/CNF/TPU strain sensors (PCCT) with dual-mode threedimensional nanobrush-bridging structures of binary carbon-based active filler through the introduction of a binary mixed dispersant system. The trend of similar effects on the loading rate and sheet resistance present for a variety of systems proves the objective existence and applicability of the polarity-induced adsorption theory, and then, the microscopic mechanism of action of the model is analyzed and explained. The optimization scheme summarized on this basis resulted in a PCCT with an ultrahigh carbon nanomaterial loading rate of 59.5% and an ultralow sheet resistance of 68.5 Ω/sq, which enabled the constructed high-density threedimensional conductive network with synergistic double-bridging structures to demonstrate a full-stretch range of responsiveness (0.12−285%) and high sensitivity (GF = 25.5 (0−100%), 84.3 (100−200%) and 312.4 (200−285%)), realizing the performance enhancement of low-cost devices. Finally, testing of the response to different levels of strain including human joint movements and muscle movements such as blinking proved the practical value and wide range of applications of PCCT in the field of human monitoring.
“…To determine the preparation of CNF, the anchored loading of carbon nanomaterials, and the surface deposition of PDA, the samples of PAN, CNF, and each step were tested for XRD characterization in the range of 10 to 90° (2θ) (Figure a). Based on the short-range ordering in the molecular chains of TPU and the disordered structure of the amorphous phase, a broad characteristic diffraction peak at 2θ = 21.2° exists, while the broad peaks at around 24.4 and 44.1° for CNF represent the (002) and (100) crystal planes, respectively, belonging to graphitic carbon, which demonstrates the formation of the graphitic structure in CNF, and the weak intensity of the (100) peak proves a good degree of degree of graphitization. − After the subsequent attachment of carbon nanomaterials and the PDA coating process, the peaks occur accordingly shifted due to the large amount of coupling between the encapsulation layer, conductive filler and the substrate . For example, during the ultrasonic attachment process, the cavitation bubbles collapse on the surface of the carbon nanomaterials and generate high-frequency oscillating jets, which drive them to bombard TPU nanofibers at high speed to produce interface collisions, at which time the kinetic energy is converted into thermal energy, resulting in transient high temperatures on the surface of the fiber microarea and softening or melting.…”
Section: Resultsmentioning
confidence: 99%
“…Based on previous studies, increasing the loading sites of the substrate or the loading rate per unit area to improve the anchoring amount of the active filler can increase the density of the conductive network as well as the conductivity in the functional layer, expand the resistance variation interval, and thus improve the sensitivity and response range of the device . The porous structure and nanoscale present in the nonwoven fiber membranes prepared by the electrospinning process enable them to have a specific surface area and surface activity that far exceed those of dense membranes, which can provide more loading sites and attachment efficiency, and thus are often used as a reliable choice for CPC sensor substrates. , By anchoring CNT to thermoplastic polyurethane (TPU) nanofiber membranes, Yu et al prepared a composite fiber sensor that achieved a gauge factor (GF) of 110.0 in the commonly used response range of 0–50%, with the corresponding wet-spun-prepared micron fiber substrate performing at only 10.2. , Significant increases in loading rates can be achieved by improving the dispersion of the active filler or its compatibility with the substrate, inhibiting agglomeration of the active material, and promoting selective adsorption with the substrate. As nonpolar material with inert surface, CB and CNF tend to agglomerate in water with low dispersibility.…”
Section: Introductionmentioning
confidence: 99%
“…Yu et al utilized surface modification with PDA to obtain adhesive DATPU substrates. The adhesive linkage of PDA amplified the destruction intensity of the conductive layer during strain, allowing it to exhibit a GF of 208.9 (0–50%), which is twice that of the TPU substrate (GF = 110.0) …”
Section: Introductionmentioning
confidence: 99%
“…13,14 By anchoring CNT to thermoplastic polyurethane (TPU) nanofiber membranes, Yu et al prepared a composite fiber sensor that achieved a gauge factor (GF) of 110.0 in the commonly used response range of 0−50%, with the corresponding wet-spun-prepared micron fiber substrate performing at only 10.2. 15,16 Significant increases in loading rates can be achieved by improving the dispersion of the active filler or its compatibility with the substrate, inhibiting agglomeration of the active material, and promoting selective adsorption with the substrate. As nonpolar material with inert surface, CB and CNF tend to agglomerate in water with low dispersibility.…”
Developing flexible wearable strain sensors that combine high performance and cost-effectiveness remains a challenge. We proposed the polarity-induced adsorption theory based on the like dissolves like principle, which can dramatically increase the loading rate of carbon nanomaterials on TPU electrospun nanofiber substrates, and constructed flexible PDA/ CB/CNF/TPU strain sensors (PCCT) with dual-mode threedimensional nanobrush-bridging structures of binary carbon-based active filler through the introduction of a binary mixed dispersant system. The trend of similar effects on the loading rate and sheet resistance present for a variety of systems proves the objective existence and applicability of the polarity-induced adsorption theory, and then, the microscopic mechanism of action of the model is analyzed and explained. The optimization scheme summarized on this basis resulted in a PCCT with an ultrahigh carbon nanomaterial loading rate of 59.5% and an ultralow sheet resistance of 68.5 Ω/sq, which enabled the constructed high-density threedimensional conductive network with synergistic double-bridging structures to demonstrate a full-stretch range of responsiveness (0.12−285%) and high sensitivity (GF = 25.5 (0−100%), 84.3 (100−200%) and 312.4 (200−285%)), realizing the performance enhancement of low-cost devices. Finally, testing of the response to different levels of strain including human joint movements and muscle movements such as blinking proved the practical value and wide range of applications of PCCT in the field of human monitoring.
“…Among them, one prominent representative is polyurethane. 19,20 However, due to the unique soft and hard segmentation of PU, micro-phase separation will occur inside PU, 21,22 which will degrade the properties of these composite materials, such as transparency 9,10 and electrical conductivity. The degradation of these properties will further affect the performance of electronic devices, including durability and appearance.…”
With the progress of society, the flexible conductive ionic sensors have become more and more important in the future advanced wearable devices, like biosensing and human-computer interaction. As the raw...
Respiratory diseases are currently monitored through traditional pulmonary function tests, such as spirometry. However, the restrictions of these procedures, particularly in the context of the COVID‐19 pandemic, have underscored the need for alternative approaches to respiratory health assessment. Wearable devices have emerged as a promising solution, providing continuous data collection, and overcoming the limitations posed by conventional methods. This review explores the multifaceted field of wearable devices for respiratory monitoring, presenting the most common sensing technologies applied to pulmonary ventilation, their constituent materials, fabrication techniques, and diverse morphologies to enhance sensor performance. The role of machine learning algorithms and ethical data sharing is highlighted, contributing to the forthcoming patient‐centered healthcare landscape. Ultimately, the importance of validation and calibration protocols for wearable devices is underlined. In anticipation of evolving healthcare needs, this in‐depth study addresses the current challenges in wearable respiratory monitoring while laying a robust foundation for a personalized, connected, and ethically sound future for respiratory care.
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