613304
氯仿 溶液
suitable for NMR (reference standard), 2% in chloroform-d (99.8 atom % D), NMR tube size 3 mm × 8 in.
InChI
1S/CHCl3/c2-1(3)4/h1H
SMILES string
ClC(Cl)Cl
InChI key
HEDRZPFGACZZDS-UHFFFAOYSA-N
grade
analytical standard
concentration
2% in chloroform-d (99.8 atom % D)
technique(s)
NMR: suitable
NMR tube size
3 mm × 8 in.
suitability
suitable for NMR (reference standard)
application(s)
environmental
format
single component solution
Quality Level
正在寻找类似产品? 访问 产品对比指南
Features and Benefits
1H 线形
Preparation Note
3 mm 外径管含有 0.235 mL。
signalword
Danger
Hazard Classifications
Acute Tox. 3 Inhalation - Acute Tox. 4 Oral - Carc. 2 - Eye Irrit. 2 - Repr. 2 - Skin Irrit. 2 - STOT RE 1 Oral - STOT SE 3
target_organs
Central nervous system, Liver,Kidney
存储类别
6.1D - Non-combustible acute toxic Cat.3 / toxic hazardous materials or hazardous materials causing chronic effects
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
ppe
Eyeshields, Faceshields, Gloves
法规信息
危险化学品
易制毒化学品（2类）
此项目有
Matteo Serino et al.
PloS one, 6(6), e21184-e21184 (2011-06-24)
Daily variations in lipid concentrations in both gut lumen and blood are detected by specific sensors located in the gastrointestinal tract and in specialized central areas. Deregulation of the lipid sensors could be partly involved in the dysfunction of glucose
Dennis J Pelletier et al.
Journal of chemical information and modeling, 47(3), 1196-1205 (2007-04-13)
The identification of phospholipidosis (PPL) during preclinical testing in animals is a recognized problem in the pharmaceutical industry. Depending on the intended indication and dosing regimen, PPL can delay or stop development of a compound in the drug discovery process.
Ilaria Massarelli et al.
European journal of medicinal chemistry, 44(9), 3658-3664 (2009-03-11)
A dataset comprising 55 chemicals with hepatocarcinogenic potency indices was collected from the Carcinogenic Potency Database with the aim of developing QSAR models enabling prediction of the above unwanted property for New Chemical Entities. The dataset was rationally split into
A Guerra et al.
European journal of medicinal chemistry, 45(3), 930-940 (2009-12-22)
A neural model based on a numerical molecular representation using CODES program to predict oral absorption of any structure is described. This model predicts both high and low-absorbed compounds with a global accuracy level of 74%. CODES/ANN methodology shows promising
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
我们的科学家团队拥有各种研究领域经验，包括生命科学、材料科学、化学合成、色谱、分析及许多其他领域.
联系客户支持