Results 171 to 180 of about 63,119 (309)

Electrochemical Measures for Determining the Total Antioxidant Capacity of Açaí Pulp (<i>Euterpe oleracea</i>) at a Glassy Carbon Electrode. [PDF]

open access: yesAntioxidants (Basel)
Feijoó TN   +5 more
europepmc   +1 more source

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson   +3 more
wiley   +1 more source

The use of pure carbon for permanent percutaneous electrical connector systems [PDF]

open access: yes
Pure carbon was used as an electrode in the clinical application of long-term neuromuscular stimulation, as well as a connector for permanent neuroelectrodes.
Benson, J.   +3 more
core   +1 more source

Real‐Time, Label‐Free Monitoring of Cell Behavior on a Bioelectronic Scaffold

open access: yesAdvanced Functional Materials, EarlyView.
A bioelectronic nanofibrous scaffold is introduced that supports cell growth while enabling real‐time, label‐free monitoring of cellular behavior through impedance measurements. The system correlates electrical signals with cell viability and surface coverage, offering an integrated platform for studying dynamic biological processes and advancing next ...
Dana Cohen‐Gerassi   +10 more
wiley   +1 more source

Electrochemical Determination of 17-β-Estradiol Using a Glassy Carbon Electrode Modified with α-Fe2O3 Nanoparticles Supported on Carbon Nanotubes. [PDF]

open access: yesMolecules, 2023
Galvão JCR   +7 more
europepmc   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou   +7 more
wiley   +1 more source

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