Atomically dispersed Ni anchored on polymer-derived mesh-like N-doped carbon nanofibers as an efficient CO2 electrocatalytic reduction catalyst

Carbon nanofiber-supported Pt–Pd alloy composites were prepared by co-electrodepositing Pt–Pd alloy nanoparticles directly onto electrospun carbon nanofibers. The morphology and size of Pt–Pd alloy nanoparticles were controlled by the surface treatment of carbon nanofibers and the electrodeposition duration time. Scanning electron microscopy/energy dispersive spectrometer (SEM)/(EDS) and x-ray photoelectron spectroscopy (XPS) were used to study the composition of Pt–Pd alloy on the composites, and the co-electrodeposition mechanism of Pt–Pd alloy was investigated. The resultant Pt–Pd/carbon nanofiber composites were characterized by running cyclic voltammograms in oxygen-saturated 0.1 M HClO4 at 25 °C to study their electrocatalytic ability to reduce oxygen. Results show that Pt–Pd/carbon nanofiber composites possess good performance in the electrocatalytic reduction of oxygen. Among all Pt–Pd/carbon nanofibers prepared, the nanofiber composite with a Pt–Pd loading of 0.90 mg/cm2 has the highest electrocatalytic activity by catalyst mass.

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Coaxial heterojunction carbon nanofibers with charge transport and electrocatalytic reduction phases for high performance dye-sensitized solar cells

RSC Advances ◽

10.1039/c7ra13118f ◽

2018 ◽

Vol 8 (13) ◽

pp. 7040-7043 ◽

Cited By ~ 1

Author(s):

Yuan-Hua Wang ◽

Hai-Qiu Fang ◽

Qiang Dong ◽

Duan-Hui Si ◽

Xue-Dan Song ◽

...

Keyword(s):

Solar Cells ◽

Charge Transport ◽

Carbon Nanofibers ◽

High Performance ◽

Dye Sensitized Solar Cells ◽

Electrocatalytic Reduction ◽

N Content ◽

Dye Sensitized ◽

Sensitized Solar Cells ◽

Defective Sites

Coaxial CNFs featured high conductivity derived from HP, and high N content and defective sites derived from PAN.

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Electrocatalytic Reduction of Carbon Dioxide on Sn-Pb Alloy Electrodes

Journal of Climate Change Research ◽

10.15531/ksccr.2016.7.3.231 ◽

2016 ◽

Vol 7 (3) ◽

pp. 231 ◽

Cited By ~ 2

Author(s):

Song Yi Choi ◽

Soon Kwan Jeong ◽

Ki Tae Park

Keyword(s):

Carbon Dioxide ◽

Electrocatalytic Reduction

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Preparation and Application of Carbon Nanofibers-supported Palladium Nanoparticles Catalysts Based on Electrospinning

Journal of Inorganic Materials ◽

10.15541/jim20130556 ◽

2014 ◽

Vol 29 (8) ◽

pp. 814 ◽

Cited By ~ 4

Author(s):

GUO Li-Ping ◽

BAI Jie ◽

LIANG Hai-Ou ◽

LI Chun-Ping ◽

SUN Wei-Yan ◽

...

Keyword(s):

Carbon Nanofibers ◽

Palladium Nanoparticles ◽

Supported Palladium

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Cytocompatibility of Carbon Nanofiber Materials for Neural Applications

MRS Proceedings ◽

10.1557/proc-774-o7.35 ◽

2003 ◽

Vol 774 ◽

Author(s):

Janice L. McKenzie ◽

Michael C. Waid ◽

Riyi Shi ◽

Thomas J. Webster

Keyword(s):

Carbon Fiber ◽

Surface Energy ◽

Carbon Nanofibers ◽

Carbon Fibers ◽

Carbon Nanofiber ◽

Fiber Composite ◽

Scar Tissue ◽

Pc 12 Cells ◽

Low Surface Energy ◽

Poly Carbonate

AbstractSince the cytocompatibility of carbon nanofibers with respect to neural applications remains largely uninvestigated, the objective of the present in vitro study was to determine cytocompatibility properties of formulations containing carbon nanofibers. Carbon fiber substrates were prepared from four different types of carbon fibers, two with nanoscale diameters (nanophase, or less than or equal to 100 nm) and two with conventional diameters (or greater than 200 nm). Within these two categories, both a high and a low surface energy fiber were investigated and tested. Astrocytes (glial scar tissue-forming cells) and pheochromocytoma cells (PC-12; neuronal-like cells) were seeded separately onto the substrates. Results provided the first evidence that astrocytes preferentially adhered on the carbon fiber that had the largest diameter and the lowest surface energy. PC-12 cells exhibited the most neurites on the carbon fiber with nanodimensions and low surface energy. These results may indicate that PC-12 cells prefer nanoscale carbon fibers while astrocytes prefer conventional scale fibers. A composite was formed from poly-carbonate urethane and the 60 nm carbon fiber. Composite substrates were thus formed using different weight percentages of this fiber in the polymer matrix. Increased astrocyte adherence and PC-12 neurite density corresponded to decreasing amounts of the carbon nanofibers in the poly-carbonate urethane matrices. Controlling carbon fiber diameter may be an approach for increasing implant contact with neurons and decreasing scar tissue formation.

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Cytocompatibility and Material Properties of Poly-carbonate Urethane/Carbon Nanofiber Composites for Neural Applications

MRS Proceedings ◽

10.1557/proc-774-o7.30 ◽

2003 ◽

Vol 774 ◽

Author(s):

Janice L. McKenzie ◽

Michael C. Waid ◽

Riyi Shi ◽

Thomas J. Webster

Keyword(s):

Mechanical Properties ◽

Carbon Nanofibers ◽

Material Properties ◽

Carbon Nanofiber ◽

Scar Tissue ◽

Tissue Response ◽

Positive Interactions ◽

Weight Percentage ◽

Poly Carbonate

AbstractCarbon nanofibers possess excellent conductivity properties, which may be beneficial in the design of more effective neural prostheses, however, limited evidence on their cytocompatibility properties exists. The objective of the present in vitro study was to determine cytocompatibility and material properties of formulations containing carbon nanofibers to predict the gliotic scar tissue response. Poly-carbonate urethane was combined with carbon nanofibers in varying weight percentages to provide a supportive matrix with beneficial bulk electrical and mechanical properties. The substrates were tested for mechanical properties and conductivity. Astrocytes (glial scar tissue-forming cells) were seeded onto the substrates for adhesion. Results provided the first evidence that astrocytes preferentially adhered to the composite material that contained the lowest weight percentage of carbon nanofibers. Positive interactions with neurons, and, at the same time, limited astrocyte functions leading to decreased gliotic scar tissue formation are essential for increased neuronal implant efficacy.

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