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Merck

35403

Supelco

甲苯达唑胺

VETRANAL®, analytical standard

别名:

2-Amino-5-benzoyl-1H-benzimidazole

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About This Item

经验公式(希尔记法):
C14H11N3O
CAS号:
分子量:
237.26
Beilstein:
3550536
MDL號碼:
分類程式碼代碼:
41116107
PubChem物質ID:
NACRES:
NA.24

等級

analytical standard

品質等級

產品線

VETRANAL®

儲存期限

limited shelf life, expiry date on the label

技術

HPLC: suitable
gas chromatography (GC): suitable

應用

forensics and toxicology
pharmaceutical (small molecule)

格式

neat

SMILES 字串

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)

InChI 密鑰

GPMHHSJZGVOEFS-UHFFFAOYSA-N

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應用

Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.

推薦產品

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.

法律資訊

VETRANAL is a registered trademark of Merck KGaA, Darmstadt, Germany

象形圖

Exclamation mark

訊號詞

Warning

危險聲明

危險分類

Acute Tox. 4 Oral

儲存類別代碼

11 - Combustible Solids

水污染物質分類(WGK)

WGK 3


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分析证书(COA)

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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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