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708976

Sigma-Aldrich

Chloroform solution

NMR reference standard, 3% in acetone-d6 (99.9 atom % D)

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About This Item

MDL number:
UNSPSC Code:
12190000
PubChem Substance ID:
NACRES:
NA.12

grade

NMR reference standard

Quality Level

form

solution

concentration

3% in acetone-d6 (99.9 atom % D)

technique(s)

NMR: suitable

NMR tube size

5 mm × 7 in.
5 mm × 8 in.

SMILES string

ClC(Cl)Cl

InChI

1S/CHCl3/c2-1(3)4/h1H

InChI key

HEDRZPFGACZZDS-UHFFFAOYSA-N

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Features and Benefits

1H line shape

Quantity

5 mm O.D. tube contains 0.700 mL.

Signal Word

Danger

Hazard Classifications

Carc. 2 - Eye Irrit. 2 - Flam. Liq. 2 - Repr. 2 - STOT RE 2 Oral - STOT SE 3

Target Organs

Central nervous system, Liver,Kidney

Supplementary Hazards

Storage Class Code

3 - Flammable liquids

WGK

WGK 3

Flash Point(F)

1.4 °F

Flash Point(C)

-17 °C

Personal Protective Equipment

dust mask type N95 (US), Eyeshields, Gloves

Certificates of Analysis (COA)

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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

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