45646
吡喃灵
PESTANAL®, analytical standard
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关于此项目
经验公式（希尔记法）:
C13H15NO2
化学文摘社编号:
分子量:
217.26
UNSPSC Code:
41116107
NACRES:
NA.24
PubChem Substance ID:
EC Number:
246-419-4
Beilstein/REAXYS Number:
1427914
MDL number:
InChI key
RVUAOAREEJAWAM-UHFFFAOYSA-N
InChI
1S/C13H15NO2/c1-10-9-11(7-8-16-10)13(15)14-12-5-3-2-4-6-12/h2-6,9,11H,7-8H2,1H3,(H,14,15)
SMILES string
O=C(NC=1C=CC=CC1)C2=C(OCCC2)C
grade
analytical standard
product line
PESTANAL®
shelf life
limited shelf life, expiry date on the label
technique(s)
HPLC: suitable, gas chromatography (GC): suitable
application(s)
agriculture
environmental
format
neat
相关类别
General description
Pyracarbolid is an anilide compound, used as a systemic foliar fungicide which is found to be effective against coffee rust.
Application
Pyracarbolid may be used as an analytical reference standard for the quantification of the analyte in fruit juice samples using liquid chromatography and gas chromatography coupled to tandem mass spectrometry.
Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.
Other Notes
Find a digital Reference Material for this product available on our online platform ChemisTwin® for NMR. You can use this digital equivalent on ChemisTwin® for your sample identity confirmation and compound quantification (with digital external standard). An NMR spectrum of this substance can be viewed and an online comparison against your sample can be performed with a few mouseclicks. Learn more here and start your free trial.
Legal Information
PESTANAL is a registered trademark of Merck KGaA, Darmstadt, Germany
Coffee Rust: Epidemiology, Resistance, and Management (1989)
Finding of pesticides in fashionable fruit juices by LC-MS/MS and GC-MS/MS.
Tran K, et al.
Food Chemistry, 134(4), 2398-2405 (2012)
Kaan Georg Kutlucinar et al.
Electrophoresis, 42(4), 490-500 (2020-12-18)
Nontargeted analysis of water samples using liquid chromatography combined with high-resolution mass spectrometers is an emerging approach for surface water monitoring and evaluation of water treatment processes. In this study, sample preconcentration via direct, large volume injection with 500 μL and
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