774766
Lithium diisopropylamide solution
1.0 M in THF/hexanes
Synonym(s):
LDA
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About This Item
Linear Formula:
[(CH3)2CH]2NLi
CAS Number:
Molecular Weight:
107.12
UNSPSC Code:
12352001
NACRES:
NA.22
PubChem Substance ID:
MDL number:
Beilstein/REAXYS Number:
3655042
form
liquid
Quality Level
concentration
1.0 M in THF/hexanes
density
0.719 g/mL at 25 °C
functional group
amine
storage temp.
2-8°C
SMILES string
[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 key
ZCSHNCUQKCANBX-UHFFFAOYSA-N
General description
This material is in a solution of THF/Hexanes (ca. 1:7 ratio, respectively)
Application
Titanium-ate enolates prepared from ketones by Ti(OiPr)4 and LDA underwent efficient radical trifluoromethylation providing trifluoromethyl ketones in good yield. Used in directed ortho-lithiation of arylsulfonyloxazolidinones to prepare N-substituted saccharin analogs.
Packaging
The 25 mL Sure/Seal™ bottle is recommended as a single-use bottle. Repeated punctures will likely result in decreased performance of product.
Legal Information
Sure/Seal is a trademark of Sigma-Aldrich Co. LLC
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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
Storage Class
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
Regulatory Information
危险化学品
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Tetrahedron Letters, 47, 6405-6405 (2006)
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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
Global Trade Item Number
| SKU | GTIN |
|---|---|
| 774766-4X25ML | 04061832931654 |
| 774766-500ML | 04061832931678 |
| 774766-100ML | 04061832931616 |