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GF95821195

Carbon

rod, 50mm, diameter 50mm, graphite, 99.95%

Synonym(s):

Activated charcoal, C 007975, Charcoal activated

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About This Item

Empirical Formula (Hill Notation):
C
CAS Number:
Molecular Weight:
12.01
MDL number:
UNSPSC Code:
12141908
PubChem Substance ID:
NACRES:
NA.23

vapor pressure

<0.1 mmHg ( 20 °C)

Assay

≥99.95%

form

rod

autoignition temp.

842 °F

manufacturer/tradename

Goodfellow 958-211-95

resistivity

1375 μΩ-cm, 20°C (graphite)

size

50 × 50 mm

mp

3550 °C (lit.)

SMILES string

[C]

InChI

1S/C

InChI key

OKTJSMMVPCPJKN-UHFFFAOYSA-N

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General description

For updated SDS information please visit www.goodfellow.com.

Legal Information

Product of Goodfellow

Storage Class Code

13 - Non Combustible Solids

WGK

nwg

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable


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Chi-Jung Su et al.
Journal of nanoscience and nanotechnology, 14(6), 4201-4206 (2014-04-18)
Carbon nanofibers (CNFs) have wide applications in energy storage devices, electrically conducting composites, selective adsorbents, and catalyst supports. Catalytic chemical vapor deposition was carried out in this work to synthesize CNFs at mild temperatures of 700 and 800 degrees C.
Anna Iliadi et al.
American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics, 145(4), 425-433 (2014-04-08)
The aim of this study was to assess the effect of intraoral aging on the setting status of a resin composite and a glass ionomer adhesive, relative to control specimens stored in water. Metallic brackets were bonded with resin composite
Cancer treatment: Sharp shooters.
Vivien Marx
Nature, 508(7494), 133-138 (2014-04-04)
B Mukherjee et al.
Journal of environmental biology, 35(3), 577-588 (2014-05-13)
Modelling system dynamics in a hyper-eutrophic lake is quite complex especially with a constant influx of detergents and sewage material which continually changes the state variables and interferes with the assessment of the chemical rhythm occurring in polluted conditions as
Marshall W Bowles et al.
Science (New York, N.Y.), 344(6186), 889-891 (2014-05-09)
Sulfate reduction is a globally important redox process in marine sediments, yet global rates are poorly quantified. We developed an artificial neural network trained with 199 sulfate profiles, constrained with geomorphological and geochemical maps to estimate global sulfate-reduction rate distributions.

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