推荐产品
等级
analytical standard
Agency
EPA 601
CofA
current certificate can be downloaded
特点
standard type calibration
包装
ampule of 1 mL
浓度
200 μg/mL in methanol
技术
HPLC: suitable
gas chromatography (GC): suitable
应用
agriculture
environmental
格式
single component solution
储存温度
2-8°C
SMILES字符串
ClC(Cl)Cl
InChI
1S/CHCl3/c2-1(3)4/h1H
InChI key
HEDRZPFGACZZDS-UHFFFAOYSA-N
正在寻找类似产品? 访问 产品对比指南
应用
Chloroform solution can play the role of solvent in the extraction of deoxynivalenol from rice samples using liquid-liquid microextraction method followed by high performance liquid chromatography method of analysis (HPLC).
Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.
警示用语：
Danger
WGK
""
闪点(°F)
closed cup
闪点(°C)
closed cup
法规信息
危险化学品
易制毒化学品（2类）
Application of response surface methodology for air assisted-dispersive liquid-liquid microextraction of deoxynivalenol in rice samples prior to HPLC-DAD analysis and comparison with solid phase extraction cleanup
Rahmani M, et al.
Talanta, 165, 27-32 (2017)
Matteo Serino et al.
PloS one, 6(6), e21184-e21184 (2011-06-24)
Daily variations in lipid concentrations in both gut lumen and blood are detected by specific sensors located in the gastrointestinal tract and in specialized central areas. Deregulation of the lipid sensors could be partly involved in the dysfunction of glucose
Dennis J Pelletier et al.
Journal of chemical information and modeling, 47(3), 1196-1205 (2007-04-13)
The identification of phospholipidosis (PPL) during preclinical testing in animals is a recognized problem in the pharmaceutical industry. Depending on the intended indication and dosing regimen, PPL can delay or stop development of a compound in the drug discovery process.
Ilaria Massarelli et al.
European journal of medicinal chemistry, 44(9), 3658-3664 (2009-03-11)
A dataset comprising 55 chemicals with hepatocarcinogenic potency indices was collected from the Carcinogenic Potency Database with the aim of developing QSAR models enabling prediction of the above unwanted property for New Chemical Entities. The dataset was rationally split into
A Guerra et al.
European journal of medicinal chemistry, 45(3), 930-940 (2009-12-22)
A neural model based on a numerical molecular representation using CODES program to predict oral absorption of any structure is described. This model predicts both high and low-absorbed compounds with a global accuracy level of 74%. CODES/ANN methodology shows promising
我们的科学家团队拥有各种研究领域经验，包括生命科学、材料科学、化学合成、色谱、分析及许多其他领域.
联系技术服务部门