35403
甲苯达唑胺
VETRANAL®, analytical standard
别名:
2-Amino-5-benzoyl-1H-benzimidazole
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关于此项目
经验公式（希尔记法）:
C14H11N3O
化学文摘社编号:
分子量:
237.26
UNSPSC Code:
41116107
NACRES:
NA.24
PubChem Substance ID:
MDL number:
Beilstein/REAXYS Number:
3550536
产品名称
甲苯达唑胺, VETRANAL®, analytical standard
InChI key
GPMHHSJZGVOEFS-UHFFFAOYSA-N
SMILES string
Nc1nc2cc(ccc2[nH]1)C(=O)c3ccccc3
InChI
1S/C14H11N3O/c15-14-16-11-7-6-10(8-12(11)17-14)13(18)9-4-2-1-3-5-9/h1-8H,(H3,15,16,17)
grade
analytical standard
product line
VETRANAL®
shelf life
limited shelf life, expiry date on the label
technique(s)
HPLC: suitable
gas chromatography (GC): suitable
application(s)
forensics and toxicology
pharmaceutical (small molecule)
format
neat
Quality Level
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Application
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
VETRANAL is a registered trademark of Merck KGaA, Darmstadt, Germany
signalword
Warning
hcodes
Hazard Classifications
Acute Tox. 4 Oral
存储类别
11 - Combustible Solids
wgk
WGK 3
Carmen Tejada-Casado et al.
Talanta, 175, 542-549 (2017-08-27)
A new method based on micellar electrokinetic chromatography-tandem mass spectrometry (MEKC-MS/MS) has been developed for the identification and simultaneous quantification of thirteen benzimidazoles in animal urine. In order to obtain an appropriate separation with the highest sensitivity, different electrophoretic parameters
Anton Kaufmann et al.
Journal of the American Society for Mass Spectrometry, 28(12), 2705-2715 (2017-09-14)
Targeted residue screening requires the use of reference substances in order to identify potential residues. This becomes a difficult issue when using multi-residue methods capable of analyzing several hundreds of analytes. Therefore, the capability of in silico fragmentation based on
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