European Polymer Journal, Год журнала: 2024, Номер unknown, С. 113620 - 113620
Опубликована: Дек. 1, 2024
Язык: Английский
European Polymer Journal, Год журнала: 2024, Номер unknown, С. 113620 - 113620
Опубликована: Дек. 1, 2024
Язык: Английский
International Journal of Biological Macromolecules, Год журнала: 2025, Номер 306, С. 141597 - 141597
Опубликована: Фев. 28, 2025
Язык: Английский
Процитировано
2Composites Communications, Год журнала: 2024, Номер 52, С. 102158 - 102158
Опубликована: Ноя. 13, 2024
Язык: Английский
Процитировано
5ACS Applied Polymer Materials, Год журнала: 2025, Номер unknown
Опубликована: Янв. 9, 2025
Conductive hydrogels, widely recognized as flexible sensor materials for health monitoring, pose a research challenge in selecting suitable frameworks and designing multifunctional composites that balance conductivity, transparency, self-healing, mechanical properties. In this work, simple efficient plant-template method (corn husk) is used to generate textured hydrogel (PPA) with PEI PVA the transparent framework, without additional cross-linking agents. The resulting exhibits high conductivity (8.56 S/m), excellent transparency (94% @ 550 nm nontextured variant), remarkable stretchability (627.1%). Additionally, PPA self-healing capabilities, achieving maximum efficiency of 94.68%. To enhance AgNWs are applied surface using rod coating method, forming PPA@RCA 12.39 S/m. This improvement attributed interactions between silver-based nanomaterials (AgNWs, AgNPs), Li+, PEI/PVA framework PPA@RCA. wearable strain based on features gauge factor 3.35 instantaneous response characteristics (response time 195 ms), exhibiting exceptional sensitivity repeatability across diverse ranges external stimuli. Therefore, ultrahigh-conductive hydrogel, produced through strategy, demonstrates significant potential applications tablet capacitive pens, writing devices, smart wearables, monitoring.
Язык: Английский
Процитировано
0Materials Today Communications, Год журнала: 2025, Номер unknown, С. 111976 - 111976
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0ACS Applied Electronic Materials, Год журнала: 2025, Номер unknown
Опубликована: Март 20, 2025
Язык: Английский
Процитировано
0Gels, Год журнала: 2025, Номер 11(4), С. 233 - 233
Опубликована: Март 23, 2025
The practical application of flexible sensors in sound detection is significantly hindered by challenges such as information isolation, fragmentation, and low fidelity. To address these challenges, this work developed a composite hydrogel via one-pot method, employing polyvinyl alcohol (PVA) the first network, polyacrylic acid (PAA) second two-dimensional nanomaterials—reduced graphene oxide (rGO)—generated through redox reaction polydopamine (PDA) (GO) conductive fillers. uniformly distributed rGO within forms an efficient endowing material with high sensitivity (GF = 0.64), excellent conductivity (8.15 S m−1), rapid response time (350 ms), outstanding stability. synergistic interaction between PDA PAA modulates hydrogel’s adhesion (0.89 kPa), enabling conformal attachment to skin surfaces. designed rGO@PVA-PAA hydrogel-based sensor effectively monitors vibrations across diverse frequencies originating from five vocal cavities (head, nasal, oral, laryngeal, thoracic cavities) during singing. Integrated multi-position synchronization Bluetooth wireless sensing technologies, system achieves coordinated monitoring multiple cavities. Furthermore, demonstrates versatility detecting physiological signals, including electrocardiograms, subtle vibrations, multi-scale body movements, highlighting its broad applicability biomedical motion-sensing applications.
Язык: Английский
Процитировано
0Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 162474 - 162474
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0ACS Applied Polymer Materials, Год журнала: 2025, Номер unknown
Опубликована: Апрель 20, 2025
Язык: Английский
Процитировано
0Advanced Sensor Research, Год журнала: 2025, Номер unknown
Опубликована: Апрель 21, 2025
Abstract Conductive hydrogels (CHs) have received numerous attentions for potential applications in flexible electronics. However, the construction of high‐performance CHs with high stretchability, favorable electrical conductivity, and reversible adhesiveness simultaneously still remains a great challenge. Herein, an ionic CH above characteristics is proposed via introducing phytic acid (PA) into semi‐interpenetrating cross‐linked network poly(acrylamide‐co‐N‐(hydroxymethyl) acrylamide) chitosan hydrogels. The synergy hydrogen bonds electrostatic interactions endows obtained hydrogel stretchability (1131%), toughness (88.32 kJ·m −3 ), satisfactory (25.78 kPa to wood). presence PA enables composite exhibit conductivity. Impressively, resultant can be assembled wearable strain sensor present sensitivity 1.32 wide response range (0–1131%), rapid time (340 ms), excellent cyclic stability. More importantly, prepared stain precisely recognize complicated human movements physiological activities realize information encryption, making this promising candidate preparing
Язык: Английский
Процитировано
0Advanced Functional Materials, Год журнала: 2025, Номер unknown
Опубликована: Апрель 27, 2025
Abstract Given the electrical signal transduction capability and excellent biocompatibility, conductive hydrogels are regarded as ideal candidates for high‐performance strain/pressure sensors applied in personalized medicine. However, there challenges concurrent attainment of flexible hydrogel‐based with remarkable conductivity, sensitivity, reliable stability. Herein, a synergistic strategy based on hole–bridge structure molecular‐crowding effect is proposed to fabricate multifunctional sensor. As‐prepared eutectic hydrogel displays comprehensive performances impressive conductivity (2.81 S m −1 ), boosted mechanical robustness (a tensile strength 2.95 MPa), environmental tolerance (≈79.8% water retention at 50 °C 20 days; frost resistance = −45.3 °C). Notably, hydrogel‐derived stretchable sensor effective antibacterial ability exhibits enhanced sensitivity (gauge factor 4.49) across wide linear range, supporting monitoring joint movement electrocardiographic signals, along on‐demand photothermal treatment. As demonstration, employment efficiently conveying information high‐fidelity handwriting recognition investigated assistance machine learning. This innovative holds high promise future applications wearable‐smart devices integrated wireless transmission modules, exhibiting great potential personal rehabilitation training healthcare monitoring.
Язык: Английский
Процитировано
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