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Merck

246611

Sigma-Aldrich

二异丙基氨基锂

97%

别名:

LDA

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About This Item

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

蒸汽密度

>1 (vs air)

化驗

97%

形狀

solid

密度

0.864 g/mL at 25 °C (lit.)

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

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一般說明

二异丙基氨基锂溶液(LDA)是具位阻的非亲核性强碱,可从从活性炭中提取氢。它可以在四氢呋喃存环境中由二异丙胺和丁基锂制备。

應用

二异丙基氨基锂可用于从含羰基的化合物中生成碳负离子或烯酸盐阴离子。
也可用作底物:
  • 酮类的直接烷基化和酰化。
  • 羟醛缩合反应。
  • α硒化反应。
  • 从羰基化合物合成α, β- 不饱和羰基化合物。
  • 酸、酯、酰胺和腈的烃化。
  • 引发阴离子聚合。

象形圖

FlameCorrosion

訊號詞

Danger

危險聲明

危險分類

Eye Dam. 1 - Pyr. Sol. 1 - Skin Corr. 1B

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 2

個人防護裝備

Eyeshields, Faceshields, Gloves, type P3 (EN 143) respirator cartridges


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Journal of Polymer Science Part A: Polymer Chemistry, 32, 2425-2425 (1994)
Aldrichimica Acta, 17, 80-80 (1984)
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
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
Erwei Yin et al.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 23(4), 693-701 (2015-02-24)
The present study proposes a hybrid brain-computer interface (BCI) with 64 selectable items based on the fusion of P300 and steady-state visually evoked potential (SSVEP) brain signals. With this approach, row/column (RC) P300 and two-step SSVEP paradigms were integrated to

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