产品名称
二异丙基氨基锂 溶液, 1.0 M in THF/hexanes
InChI
1S/C6H14N.Li/c1-5(2)7-6(3)4;/h5-6H,1-4H3;/q-1;+1
SMILES string
[Li]N(C(C)C)C(C)C
InChI key
ZCSHNCUQKCANBX-UHFFFAOYSA-N
form
liquid
concentration
1.0 M in THF/hexanes
density
0.719 g/mL at 25 °C
functional group
amine
storage temp.
2-8°C
Quality Level
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Application
以 Ti (OiPr) 4 和 LDA 为原料合成了钛酸烯醇酯,并进行了有效的自由基三氟甲基化反应,得到了三氟甲基酮。用于芳基磺酰氧唑烷酮类化合物的定向邻位锂化反应,制备 N-取代糖精类似物。
General description
该材料溶于 THF/己烷溶液(分别约1:7 比例)
Packaging
推荐使用 25 mL Sure/Seal™ 瓶作为一次性使用瓶。重复穿刺可能导致产品性能下降。
Legal Information
Sure/Seal is a trademark of Sigma-Aldrich Co. LLC
signalword
Danger
Hazard Classifications
Aquatic Chronic 2 - Asp. Tox. 1 - Carc. 2 - Eye Dam. 1 - Flam. Liq. 2 - Pyr. Liq. 1 - Repr. 2 - Skin Corr. 1B - STOT RE 1 Inhalation - STOT SE 3
target_organs
Central nervous system, Nervous system, Respiratory system
supp_hazards
存储类别
4.2 - Pyrophoric and self-heating hazardous materials
wgk
WGK 3
flash_point_f
-7.6 °F - closed cup
flash_point_c
-22 °C - closed cup
法规信息
危险化学品
此项目有
Tetrahedron Letters, 47, 6405-6405 (2006)
Juan Eugenio Iglesias et al.
NeuroImage, 115, 117-137 (2015-05-06)
Automated analysis of MRI data of the subregions of the hippocampus requires computational atlases built at a higher resolution than those that are typically used in current neuroimaging studies. Here we describe the construction of a statistical atlas of the
Joshua D Schaefferkoetter et al.
Physics in medicine and biology, 60(14), 5543-5556 (2015-07-03)
In the context of investigating the potential of low-dose PET imaging for screening applications, we developed methods to assess small lesion detectability as a function of the number of counts in the scan. We present here our methods and preliminary
Paweł Mandera et al.
Quarterly journal of experimental psychology (2006), 68(8), 1623-1642 (2015-02-20)
Subjective ratings for age of acquisition, concreteness, affective valence, and many other variables are an important element of psycholinguistic research. However, even for well-studied languages, ratings usually cover just a small part of the vocabulary. A possible solution involves using
Putri W Novianti et al.
BMC bioinformatics, 16, 199-199 (2015-06-22)
Class prediction models have been shown to have varying performances in clinical gene expression datasets. Previous evaluation studies, mostly done in the field of cancer, showed that the accuracy of class prediction models differs from dataset to dataset and depends
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