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A propos de cet article
Formule empirique (notation de Hill) :
C12H9ClN2O3
Numéro CAS:
Poids moléculaire :
264.66
UNSPSC Code:
41116107
NACRES:
NA.24
PubChem Substance ID:
EC Number:
277-704-1
Beilstein/REAXYS Number:
8321574
MDL number:
Service technique
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analytical standard
Quality Segment
product line
PESTANAL®
shelf life
limited shelf life, expiry date on the label
application(s)
agriculture
environmental
format
neat
SMILES string
Nc1c(Cl)c(Oc2ccccc2)ccc1[N+]([O-])=O
InChI
1S/C12H9ClN2O3/c13-11-10(18-8-4-2-1-3-5-8)7-6-9(12(11)14)15(16)17/h1-7H,14H2
InChI key
DDBMQDADIHOWIC-UHFFFAOYSA-N
General description
Aclonifen is a diphenyl-ether herbicide, which can be used for weed control management, in specific for sunflowers. Its mode of action involves, the inhibition of carotenoid synthesis and suppression of protoporphyrinogen oxidase enzyme involved in the chlorophyll synthesis pathway.
Legal Information
PESTANAL is a registered trademark of Merck KGaA, Darmstadt, Germany
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signalword
Warning
hcodes
Hazard Classifications
Aquatic Acute 1 - Aquatic Chronic 1 - Carc. 2 - Skin Sens. 1A
Classe de stockage
11 - Combustible Solids
wgk
WGK 2
flash_point_f
Not applicable
flash_point_c
Not applicable
ppe
Eyeshields, Gloves
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M Dhouib et al.
Central European journal of public health, 4 Suppl, 51-52 (1996-01-01)
The herbicides Alachlor and Alclonifen are recently used in France for pre-emergent weed control in corn, essentially in association. For this reason, an improved method has been developed by gas chromatography for simultaneously characterising and quantifying the two herbicides. The
Praveen Kumar Gopi et al.
Ecotoxicology and environmental safety, 207, 111285-111285 (2020-09-16)
The present work scrutinized the voltammetric analysis of hazardous herbicide aclonifen (ACF) in actual soil and river water samples utilizing the electrochemical method. The electrochemical sensing device was fabricated for the determination of ACF using gadolinium niobate (GdNbO4) nanoparticles modified
James A Garratt et al.
Pest management science, 59(1), 3-20 (2003-02-01)
Effective prediction of pesticide fate using mathematical models requires good process descriptions in the models and good choice of parameter values by the user. This paper examines the ability of seven pesticide leaching models (LEACHP, MACRO, PELMO, PESTLA, PLM, PRZM
Numéro d'article de commerce international
| Référence | GTIN |
|---|---|
| 36792-50MG-R | 04061831827767 |


