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线性分子式:
H2NC6H2(Cl)2CO2H
化学文摘社编号:
分子量:
206.03
UNSPSC Code:
12352106
NACRES:
NA.22
PubChem Substance ID:
EC Number:
205-123-5
Beilstein/REAXYS Number:
2365906
MDL number:
产品名称
3-氨基-2,5-二氯苯甲酸, 95%
InChI key
HSSBORCLYSCBJR-UHFFFAOYSA-N
InChI
1S/C7H5Cl2NO2/c8-3-1-4(7(11)12)6(9)5(10)2-3/h1-2H,10H2,(H,11,12)
SMILES string
Nc1cc(Cl)cc(C(O)=O)c1Cl
assay
95%
reaction suitability
reaction type: solution phase peptide synthesis
mp
194-197 °C (dec.) (lit.)
application(s)
peptide synthesis
Quality Level
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signalword
Danger
hcodes
Hazard Classifications
Carc. 1B - Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3
target_organs
Respiratory system
存储类别
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
ppe
Eyeshields, Gloves, type P3 (EN 143) respirator cartridges
法规信息
农药列管产品
此项目有
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)
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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-
[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)
[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)
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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