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611743

Supelco

Chloroform solution

NMR reference standard, 1% in acetone-d6 (99.9 atom % D), NMR tube size 10 mm × 8 in.

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About This Item

MDL number:
MFCD00000826
UNSPSC Code:
12142201
PubChem Substance ID:
329759377
NACRES:
NA.24

grade

NMR reference standard
analytical standard

Quality Level

200

concentration

1% in acetone-d6 (99.9 atom % D)

technique(s)

NMR: suitable

NMR tube size

10 mm × 8 in.

application(s)

environmental

format

single component solution

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

10 mm O.D. tube contains 3.175 mL.

signalword

Danger

Hazard Classifications

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

target_organs

Central nervous system, Liver,Kidney

supp_hazards

EUH066

Storage Class

3 - Flammable liquids

wgk_germany

WGK 2

flash_point_f

1.4 °F - closed cup

flash_point_c

-17 °C - closed cup

ppe

Eyeshields, Faceshields, Gloves

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Certificados de análisis (COA)

Lot/Batch Number
MBBC0661
CC0180
SZ1974
SZ1973
SZ1315

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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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