Skip to Content
Merck
All Photos(1)

Documents

296961

Sigma-Aldrich

Lithium diisopropylamide

10 wt. % suspension in hexanes

Synonym(s):

LDA

Sign Into View Organizational & Contract Pricing
All Photos(1)

About This Item

Linear Formula:
[(CH3)2CH]2NLi
CAS Number:
4111-54-0
Molecular Weight:
107.12
Beilstein:
3655042
MDL number:
MFCD00064449
UNSPSC Code:
12352001
PubChem Substance ID:
24857890
NACRES:
NA.22

vapor density

>1 (vs air)

concentration

10 wt. % suspension in hexanes

density

0.864 g/mL at 25 °C (lit.)

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

Looking for similar products? Visit Product Comparison Guide

Signal Word

Danger

Hazard Classifications

Aquatic Chronic 2 - Asp. Tox. 1 - Eye Dam. 1 - Flam. Liq. 2 - Repr. 2 - Skin Corr. 1B - STOT RE 1 Inhalation - STOT SE 3

Target Organs

Central nervous system, Nervous system

Storage Class Code

3 - Flammable liquids

WGK

WGK 3

Flash Point(F)

-14.8 °F - closed cup

Flash Point(C)

-26 °C - closed cup

Certificates of Analysis (COA)

Search for Certificates of Analysis (COA) by entering the products Lot/Batch Number. Lot and Batch Numbers can be found on a product’s label following the words ‘Lot’ or ‘Batch’.

Already Own This Product?

Find documentation for the products that you have recently purchased in the Document Library.

Visit the Document Library

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
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
Martin E Gosnell et al.
Biochimica et biophysica acta, 1863(1), 56-63 (2015-10-04)
Hyperspectral imaging uses spectral and spatial image information for target detection and classification. In this work hyperspectral autofluorescence imaging was applied to patient olfactory neurosphere-derived cells, a cell model of a human metabolic disease MELAS (mitochondrial myopathy, encephalomyopathy, lactic acidosis
View All Related Papers

Our team of scientists has experience in all areas of research including Life Science, Material Science, Chemical Synthesis, Chromatography, Analytical and many others.

Contact Technical Service