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Nedometinib - ≥98% , CAS No.2252314-46-6
Disponible para pedir
GRADE & PURITY ≥98%
Storage
Store at 2-8°C,Protected from light,Argon charged
Shipped In
Wet ice
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Why this grade
≥98% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
Storage & shipping
Store at 2-8°C,Protected from light,Argon charged Ships Wet ice Check lot-specific COA for exact specifications.
Quality documents
SDS, COA, datasheet, and spec sheet available for download. Lot-specific COA accessible via lot number lookup.
Literature proof
Cited in 1 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Descripción general
Nedometinib is a tyrosine kinase inhibitor targeting to MEK1. Nedometinib has antineoplastic effect and can be used for research in dermatosis, cutaneous fibroneuroma, neurofibromatosis.
Specifications
Especificaciones y pureza
≥98%
Condiciones de almacenamiento de almacenamiento
Store at 2-8°C, Protected from light, Argon charged
Enviado en
Wet ice
Este producto requiere envío en cadena de frío. Los servicios terrestres y otros servicios económicos no están disponibles.
Tipo de acción
INHIBITOR
Pureza
≥98%
Nombres e identificadores
| Peso molecular | 470.24 |
|---|
Documentation
📋 Safety Data Sheet (SDS)
Comprehensive hazard, handling, storage, and regulatory compliance document.
Download SDS →✅ Certificate of Analysis (COA)
Lot-specific quality data. Enter your lot number to retrieve the exact COA.
Look up COA →🔬 Specification Sheet
Full quality attributes and acceptance criteria for this grade.
View spec sheet →Advanced Data
Certificados (CoA, COO, BSE/TSE y tabla de análisis)
C of A & Other Certificates(BSE/TSE, COO):
Analytical Chart:
Citations of This Product
Referencias
| 1. Xinyue Yin, Shuran Yang, Guorong Du, Lu Zhang, Yuhong Xiang, Nengsheng Ye. (2025) Exploration of the fluorine−fluorine interaction mechanism in fluoroquinolone antibiotics recognition and ciprofloxacin detection on the basis of fluorine−doped carbon quantum dots and machine learning. FOOD CHEMISTRY, [PMID:40684559] [10.1016/j.foodchem.2025.145560] |
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