おすすめの製品
蒸気圧
<0.1 mmHg ( 20 °C)
アッセイ
100%
形状
rod
自己発火温度
842 °F
メーカー/製品名
Goodfellow 742-455-07
抵抗性
1375 μΩ-cm, 20°C (graphite)
サイズ直径×厚み
100 mm × 6.35 mm
mp
3550 °C (lit.)
SMILES記法
[C]
InChI
1S/C
InChI Key
OKTJSMMVPCPJKN-UHFFFAOYSA-N
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詳細
For updated SDS information please visit www.goodfellow.com.
法的情報
Goodfellow製品
保管分類コード
13 - Non Combustible Solids
WGK
nwg
引火点(°F)
Not applicable
引火点(℃)
Not applicable
試験成績書(COA)
製品のロット番号・バッチ番号を入力して、試験成績書(COA) を検索できます。ロット番号・バッチ番号は、製品ラベルに「Lot」または「Batch」に続いて記載されています。
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.
Environmental technology, 35(9-12), 1565-1576 (2014-04-08)
Maintaining stability of low concentration (< 1 g L(-1)) floccular biomass in the nitritation-anaerobic ammonium oxidation (anammox) process in the sequencing batch reactor (SBR) system for the treatment of high COD (> 15,000 mg O2 L(-1)) to N (1680 mg
Nature, 509(7498), 71-75 (2014-04-22)
One of the most well-recognized stereogenic elements in a chiral molecule is an sp(3)-hybridized carbon atom that is connected to four different substituents. Axes of chirality can also exist about bonds with hindered barriers of rotation; molecules containing such axes
Proceedings of the National Academy of Sciences of the United States of America, 111(16), 5926-5931 (2014-04-09)
Programmed translational bypassing is a process whereby ribosomes "ignore" a substantial interval of mRNA sequence. Although discovered 25 y ago, the only experimentally confirmed example of this puzzling phenomenon is expression of the bacteriophage T4 gene 60. Bypassing requires translational
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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