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Merck
CN

PS47

Silvex®

analytical standard

别名:

2-(2,4,5-三氯苯氧基)丙酸, 2,4,5-TP, 2,4,5-涕丙酸, Silvex®

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About This Item

经验公式(希尔记法):
C9H7Cl3O3
CAS号:
分子量:
269.51
Beilstein:
1985768
EC 号:
MDL编号:
UNSPSC代码:
41116107
PubChem化学物质编号:

等级

analytical standard

包装

ampule of 250 mg

制造商/商品名称

Chem Service, Inc. PS-47

应用

agriculture
environmental

SMILES字符串

CC(Oc1cc(Cl)c(Cl)cc1Cl)C(O)=O

InChI

1S/C9H7Cl3O3/c1-4(9(13)14)15-8-3-6(11)5(10)2-7(8)12/h2-4H,1H3,(H,13,14)

InChI key

ZLSWBLPERHFHIS-UHFFFAOYSA-N

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一般描述

Silvex®(2-(2,4,5-trichlorophenoxy)-propionic acid) is a chlorophenoxy acid pesticide. It is used to control annual and perennial broadleaf weeds.

应用

2-(2,4,5-Trichlorophenoxy)propionic acid may be used as a reference standard for the determination of Silvex® (2-(2,4,5-Trichlorophenoxy)propionic acid), in soil and water samples by enzyme-linked immunosorbent assay (ELISA).

法律信息

Silvex is a registered trademark of Silberline Manufacturing Co., Inc.

象形图

Exclamation markEnvironment

警示用语:

Warning

危险声明

预防措施声明

危险分类

Acute Tox. 4 Oral - Aquatic Acute 1 - Aquatic Chronic 1 - Skin Irrit. 2

储存分类代码

13 - Non Combustible Solids

WGK

WGK 3

闪点(°F)

Not applicable

闪点(°C)

Not applicable

个人防护装备

dust mask type N95 (US), Eyeshields, Gloves

法规信息

新产品

历史批次信息供参考:

分析证书(COA)

Lot/Batch Number

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Sergi Morais et al.
Analytical and bioanalytical chemistry, 374(2), 262-268 (2002-09-27)
A highly sensitive and specific indirect enzyme-linked immunosorbent assay is described for Silvex, 2-(2,4,5 trichlorophenoxy)propionic acid, (2,4,5-TP). One specific feature of the immunoassay is the use of simple chemical activation of chlorophenoxy acids to prepare both the immunizing and coating
Emeline L Maillet et al.
Journal of medicinal chemistry, 52(21), 6931-6935 (2009-10-13)
We show that phenoxyauxin herbicides and lipid-lowering fibrates inhibit human but not rodent T1R3. T1R3 as a coreceptor in taste cells responds to sweet compounds and amino acids; in endocrine cells of gut and pancreas T1R3 contributes to glucose sensing.
Lourdes Santana et al.
Journal of medicinal chemistry, 51(21), 6740-6751 (2008-10-07)
The work provides a new model for the prediction of the MAO-A and -B inhibitor activity by the use of combined complex networks and QSAR methodologies. On the basis of the obtained model, we prepared and assayed 33 coumarin derivatives

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