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40021

Supelco

Chloroforme solution

certified reference material, 5000 μg/mL in methanol

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About This Item

Numéro MDL:
MFCD00000826
Code UNSPSC :
41116105
ID de substance PubChem :
24864904

Qualité

certified reference material
TraceCERT®

Niveau de qualité

300

Agence

EPA 601
suitable for EPA 601

Gamme de produits

TraceCERT®

CofA (certificat d'analyse)

current certificate can be downloaded

Caractéristiques

standard type calibration

Conditionnement

ampule of 1 mL

Concentration

5000 μg/mL in methanol

Technique(s)

HPLC: suitable
gas chromatography (GC): suitable

Application(s)

agriculture
environmental

Format

single component solution

Température de stockage

2-8°C

Chaîne SMILES 

ClC(Cl)Cl

InChI

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

Clé InChI

HEDRZPFGACZZDS-UHFFFAOYSA-N

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Catégories apparentées

Application

Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.

Autres remarques

This Certified Reference Material (CRM) is produced and certified in accordance with ISO 17034 and ISO/IEC 17025. All information regarding the use of this CRM can be found on the certificate of analysis.

Informations légales

TraceCERT is a registered trademark of Merck KGaA, Darmstadt, Germany

Pictogrammes

FlameSkull and crossbonesHealth hazard
GHS02,GHS06,GHS08

Mention d'avertissement

Danger

Classification des risques

Acute Tox. 3 Dermal - Acute Tox. 3 Inhalation - Acute Tox. 3 Oral - Flam. Liq. 2 - STOT SE 1

Organes cibles

Eyes

Code de la classe de stockage

3 - Flammable liquids

Classe de danger pour l'eau (WGK)

WGK 2

Point d'éclair (°F)

51.8 °F - closed cup

Point d'éclair (°C)

11 °C - closed cup

Équipement de protection individuelle

Eyeshields, Faceshields, Gloves, type ABEK (EN14387) respirator filter

Faites votre choix parmi les versions les plus récentes :

Certificats d'analyse (COA)

Lot/Batch Number
LRAD7202
LRAD1964
LRAC5641
LRAB8537
XA12782V

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Si vous avez besoin d'une version particulière, vous pouvez rechercher un certificat spécifique par le numéro de lot.

Rechercher un(e) COA

Déjà en possession de ce produit ?

Retrouvez la documentation relative aux produits que vous avez récemment achetés dans la Bibliothèque de documents.

Consulter la Bibliothèque de documents

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
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
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.
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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