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617466

Sigma-Aldrich

Acetyl-d3-L-carnitine hydrochloride

≥98 atom % D, ≥99% (CP)

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About This Item

Empirical Formula (Hill Notation):
C9D3H14NO4·HCl
CAS Number:
362049-62-5
Molecular Weight:
242.72
UNSPSC Code:
12352108
PubChem Substance ID:
329759677
Note: This product can be packaged on demand. For information on pricing, availability and packaging of custom sizes, please contact Stable Isotopes Customer Service

isotopic purity

≥98 atom % D

Assay

≥99% (CP)

form

solid

optical activity

[α]25/D -28°, c = 1 in H2O

mp

194 °C (dec.) (lit.)

mass shift

M+3

storage temp.

−20°C

SMILES string

[Cl-].[2H]C([2H])([2H])C(=O)O[C@H](CC(O)=O)C[N+](C)(C)C

InChI

1S/C9H17NO4.ClH/c1-7(11)14-8(5-9(12)13)6-10(2,3)4;/h8H,5-6H2,1-4H3;1H/t8-;/m1./s1/i1D3;

InChI key

JATPLOXBFFRHDN-SPMMGKNWSA-N

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Packaging

This product may be available from bulk stock and can be packaged on demand. For information on pricing, availability and packaging, please contact Stable Isotopes Customer Service.

Pictograms

Exclamation mark
GHS07

Signal Word

Warning

Hazard Statements

H315,H319,H335

Precautionary Statements

P261 - P305 + P351 + P338

Hazard Classifications

Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3

Storage Class Code

11 - Combustible Solids

WGK

WGK 2

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable

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Certificates of Analysis (COA)

Lot/Batch Number
MBBD7436
MBBC1479
IM0518

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Anna Marco-Ramell et al.
Journal of proteome research, 17(7), 2307-2317 (2018-06-16)
This study explores the metabolic profiles of concordant/discordant phenotypes of high insulin resistance (IR) and obesity. Through untargeted metabolomics (LC-ESI-QTOF-MS), we analyzed the fasting serum of subjects with high IR and/or obesity ( n = 64). An partial least-squares discriminant
Ximena Mora-Cubillos et al.
Molecular nutrition & food research, 59(12), 2480-2490 (2015-09-29)
To identify the most discriminant dietary biomarkers of nuts exposure in subjects with metabolic syndrome (MetS), and investigate the potential association between exposure and the severity of the MetS diagnostic traits. We applied the untargeted LC-ESI-qToF-MS-driven metabolomic workflow to explore

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