Results 231 to 240 of about 40,824 (286)

Surface Engineered Biomolecular Condensates for Targeted Cell Cytotoxicity

open access: yesAdvanced Science, EarlyView.
Interfacial engineering of biomolecular condensates with a decanoic acid (DA) membrane enables molecular‐weight‐gated enzyme localization. Small biomolecules (≤60 kDa) enrich internally, while high‐molecular‐weight alkaline phosphatase (ALP) localizes at the interface.
Chengying Yin   +6 more
wiley   +1 more source

Multifunctional E‐Tattoos Based on Electrospun PVBVA Fibers Coated with Ti3C2Tx MXene for Energy Harvesting, Energy Storage, and Biometric Sensing

open access: yesAdvanced Science, EarlyView.
This study explores a novel E‐tattoo made from PVBVA fibers coated with Ti3C2Tx MXene. The device is designed to harvest energy directly from the human body, providing power for itself. The research demonstrates the E‐tattoo's capability for charge storage and its potential for health monitoring through integrated ECG and EMG sensing, all within a ...
Ajay Pratap   +16 more
wiley   +1 more source

Piezo‐Phototronic PVDF/HfO2/Nano‐Cu Heterostructured Thin Film for Flexible Self‐Powered Multimodal Sensing

open access: yesAdvanced Science, EarlyView.
Electrospinning a composite of PVDF, HfO2, and nano‐Cu transforms the discrete precursors into a continuous nanofiber mesh, forming a multi‐interface heterostructure with embedded nanoparticles. The presence of HfO2 and nano‐Cu at the fiber interfaces induces a highly aligned β‐phase, which enhances piezoelectric crystallinity and improves the material'
Jiawei Gu   +9 more
wiley   +1 more source

Electrospun Nanofiber Membrane for Cultured Corneal Endothelial Cell Transplantation. [PDF]

open access: yesBioengineering (Basel)
Song E   +5 more
europepmc   +1 more source

Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring

open access: yesAdvanced Science, EarlyView.
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley   +1 more source

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