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Merck
CN

A28708

烯丙醇

99%

别名:

2-丙烯-1-醇

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关于此项目

线性分子式:
CH2=CHCH2OH
化学文摘社编号:
分子量:
58.08
EC Number:
203-470-7
NACRES:
NA.24
MDL number:
Beilstein/REAXYS Number:
605307
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vapor density

2 (vs air)

vapor pressure

23.8 mmHg ( 25 °C)

assay

99%

autoignition temp.

712 °F

expl. lim.

18 %

refractive index

n20/D 1.412 (lit.)

bp

96-98 °C (lit.)

mp

−129 °C (lit.)

density

0.854 g/mL at 25 °C (lit.)

SMILES string

OCC=C

InChI

1S/C3H6O/c1-2-3-4/h2,4H,1,3H2

InChI key

XXROGKLTLUQVRX-UHFFFAOYSA-N

Application

用于诱导肝脏损坏的小鼠模型,该模型用于研究肝细胞毒性和肝干细胞介导修复的机制。

Packaging

18L Kilo-Lab™ 金属瓶包装。需要气瓶出口阀或输送管路以进行材料分配。气瓶需要支付押金


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signalword

Danger

Hazard Classifications

Acute Tox. 2 Dermal - Acute Tox. 3 Inhalation - Acute Tox. 3 Oral - Aquatic Acute 1 - Aquatic Chronic 3 - Eye Irrit. 2 - Flam. Liq. 2 - Repr. 2 - Skin Irrit. 2 - STOT SE 3

target_organs

Respiratory system

存储类别

3 - Flammable liquids

wgk

WGK 3

flash_point_f

71.6 °F - closed cup

flash_point_c

22 °C - closed cup

法规信息

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分析证书(COA)

Lot/Batch Number

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Taku Chiba et al.
Bioorganic & medicinal chemistry letters, 17(9), 2487-2491 (2007-03-03)
A series of sugar derivatives (7-14) were synthesized from stachyose, a sugar compound of Stachys sieboldi Miq, and evaluated for antibacterial activity against Mycobacterium tuberculosis, Mycobacterium avium, and Staphylococcus aureus, and their structure-activity relationships were studied. The results showed that
Takeki Uehara et al.
Molecular nutrition & food research, 54(2), 218-227 (2009-12-31)
Biotechnology advances have provided novel methods for the risk assessment of chemicals. The application of microarray technologies to toxicology, known as toxicogenomics, is becoming an accepted approach for identifying chemicals with potential safety problems. Gene expression profiling is expected to
Sean Ekins et al.
Drug metabolism and disposition: the biological fate of chemicals, 38(12), 2302-2308 (2010-09-17)
Drug-induced liver injury (DILI) is one of the most important reasons for drug development failure at both preapproval and postapproval stages. There has been increased interest in developing predictive in vivo, in vitro, and in silico models to identify compounds