SMB00917
Deuterated Amino Acid Standard Mixture
suitable for mass spectrometry (MS)
Synonym(s):
Deuterated Amino Acid Standard Mixture, AA mixture, Amino Acids mixture
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About This Item
UNSPSC Code:
41116107
NACRES:
NA.21
form
liquid
Quality Level
technique(s)
mass spectrometry (MS): suitable
application(s)
metabolomics
shipped in
wet ice
storage temp.
2-8°C
Related Categories
Application
The Deuterated Amino Acid Standard Mixture is formulated for use as a concentration standard for high throughput LC/MS or GC-MS metabolomic analysis.
Features and Benefits
- All deuterated amino acids are dissolved in water and ready to use. Total vial volume of 10 ml.
- Ready to use deuterated internal standards.
- Ideal for polar metabolites for HILIC chromatography.
Analyte
Description
Glycine (D5)
L-Histidine (D5)
L-Serine (2,3,3-D3)
L-Alanine (2,3,3,3-D4)
L-Isoleucine (D10)
L-Threonine (D5)
L-Arginine (D7)
L-Leucine (D10)
L-Tryptophan (D8)
L-Asparagine (2,3,3-D3)
L-Lysine (D8)
L-Tyrosine (D7)
L-Aspartic acid (2,3,3-D3)
L-Methionine (D8)
L-Valine (D8)
L-Cystine (3,3,3′,3′-D4)
L-Ornithine (5,5-D2)
PI-Methyl-L-Histidine (D3)
L-Glutamic acid (2,3,3,4,4-D5)
L-Phenylalanine (D8)
TAU-Methyl-L-Histidine (D3)
L-Glutamine (2,3,3,4,4-D5)
L-Proline (D7)
DL-Homocysteine (3,3,4,4-D4)
See All (24)
Storage Class Code
12 - Non Combustible Liquids
WGK
WGK 1
Flash Point(F)
Not applicable
Flash Point(C)
Not applicable
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Oliver Fiehn
Current protocols in molecular biology, 114, 30-30 (2016-04-03)
Gas chromatography-mass spectrometry (GC-MS)-based metabolomics is ideal for identifying and quantitating small-molecule metabolites (<650 Da), including small acids, alcohols, hydroxyl acids, amino acids, sugars, fatty acids, sterols, catecholamines, drugs, and toxins, often using chemical derivatization to make these compounds sufficiently
Dinesh K Barupal et al.
Metabolites, 9(5) (2019-05-28)
Mouse knockouts facilitate the study ofgene functions. Often, multiple abnormal phenotypes are induced when a gene is inactivated. The International Mouse Phenotyping Consortium (IMPC) has generated thousands of mouse knockouts and catalogued their phenotype data. We have acquired metabolomics data
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