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152668

Sigma-Aldrich

3-Amino-2,5-dichlorobenzoic acid

95%

Synonym(s):

Chloramben

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About This Item

Linear Formula:
H2NC6H2(Cl)2CO2H
CAS Number:
133-90-4
Molecular Weight:
206.03
Beilstein:
2365906
EC Number:
205-123-5
MDL number:
MFCD00065093
UNSPSC Code:
12352106
PubChem Substance ID:
24849246
NACRES:
NA.22

Quality Level

100

Assay

95%

reaction suitability

reaction type: solution phase peptide synthesis

mp

194-197 °C (dec.) (lit.)

application(s)

peptide synthesis

SMILES string

Nc1cc(Cl)cc(C(O)=O)c1Cl

InChI

1S/C7H5Cl2NO2/c8-3-1-4(7(11)12)6(9)5(10)2-3/h1-2H,10H2,(H,11,12)

InChI key

HSSBORCLYSCBJR-UHFFFAOYSA-N

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Related Categories

Pictograms

Health hazardExclamation mark
GHS08,GHS07

Signal Word

Danger

Hazard Statements

H315,H319,H335,H350

Hazard Classifications

Carc. 1B - Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3

Target Organs

Respiratory system

Storage Class Code

6.1C - Combustible acute toxic Cat.3 / toxic compounds or compounds which causing chronic effects

WGK

WGK 3

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable

Personal Protective Equipment

dust mask type N95 (US), Eyeshields, Gloves

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S C Fang et al.
Journal of pharmacokinetics and biopharmaceutics, 8(6), 583-597 (1980-12-01)
The acidic compounds, such as phenoxyacetic acids, substituted benzoic acids, or acetylsalicylic acid, were found to bind to bovine serum albumin (BSA). Among phenoxyacetic acids, the binding affinity to BSA was highest for 2,4,5-trichlorophenoxyacetic acid (2,4,5-T), which was approximately 4-
Field persistence studies with triallate and trifluralin both singly and in combination with chloramben.
A E Smith et al.
Bulletin of environmental contamination and toxicology, 29(2), 240-242 (1982-08-01)
[Methods of controlling the harmful substance content in the air of a work area in amiben manufacture].
I I Pilenkova et al.
Gigiena truda i professional'nye zabolevaniia, (10)(10), 50-51 (1980-10-01)
[Establishment of the maximum permissible concentration of amiben in the water of reservoirs].
S Iu Buslovich et al.
Gigiena i sanitariia, (4)(4), 74-75 (1980-04-01)
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
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