跳转至内容
Merck

774766

Sigma-Aldrich

二异丙基氨基锂 溶液

1.0 M in THF/hexanes

别名:

LDA

登录查看公司和协议定价


About This Item

线性分子式:
[(CH3)2CH]2NLi
CAS号:
分子量:
107.12
Beilstein:
3655042
MDL號碼:
分類程式碼代碼:
12352001
PubChem物質ID:
NACRES:
NA.22

形狀

liquid

濃度

1.0 M in THF/hexanes

密度

0.719 g/mL at 25 °C

儲存溫度

2-8°C

SMILES 字串

[Li]N(C(C)C)C(C)C

InChI

1S/C6H14N.Li/c1-5(2)7-6(3)4;/h5-6H,1-4H3;/q-1;+1

InChI 密鑰

ZCSHNCUQKCANBX-UHFFFAOYSA-N

正在寻找类似产品? 访问 产品对比指南

一般說明

该材料溶于 THF/己烷溶液(分别约1:7 比例)

應用

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。

包裝

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。

法律資訊

Sure/Seal is a trademark of Sigma-Aldrich Co. LLC

訊號詞

Danger

危險分類

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

標靶器官

Central nervous system, Nervous system, Respiratory system

安全危害

儲存類別代碼

4.2 - Pyrophoric and self-heating hazardous materials

水污染物質分類(WGK)

WGK 3

閃點(°F)

-7.6 °F - closed cup

閃點(°C)

-22 °C - closed cup


分析证书(COA)

输入产品批号来搜索 分析证书(COA) 。批号可以在产品标签上"批“ (Lot或Batch)字后找到。

已有该产品?

在文件库中查找您最近购买产品的文档。

访问文档库

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
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
Journal of Fluorine Chemistry, 127, 539-539 (2006)

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