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About This Item
Empirical Formula (Hill Notation):
C17H33NO4
CAS Number:
Molecular Weight:
315.45
Beilstein:
4145305
MDL number:
UNSPSC Code:
41116107
NACRES:
NB.21
grade
analytical standard
Quality Level
Assay
≥94.0% (HPLC)
optical activity
[α]/D -15±3°, c = 0.1 in H2O
shelf life
limited shelf life, expiry date on the label
impurities
≤10% water
application(s)
clinical testing
format
neat
storage temp.
2-8°C
SMILES string
C[N+](C)(C)C[C@H](OC(CCCCCCCCC)=O)CC([O-])=O
InChI
1S/C17H33NO4/c1-5-6-7-8-9-10-11-12-17(21)22-15(13-16(19)20)14-18(2,3)4/h15H,5-14H2,1-4H3/t15-/m1/s1
InChI key
LZOSYCMHQXPBFU-OAHLLOKOSA-N
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General description
Decanoyl-L-carnitine, belonging to the class of acylcarnitines, serves as a specific diagnostic metabolite biomarker, found in medium-chain acyl CoA dehydrogenase (MCAD) deficiency especially in newborns.
Application
Decanoyl-L-carnitine may be used as an analytical reference standard for the quantification of the analyte in the following:
- In dried blood spots using chip-based nanoelectrospray source coupled with high resolution mass spectrometry (chip-based nanoESI- HRMS) and targeted liquid chromatography-tandem mass spectrometry (LC/MS/MS).
- In biological samples using high-performance liquid chromatography coupled to tandem mass spectrometry (HPLC/MS/MS).
Other Notes
Find a digital Reference Material for this product available on our online platform ChemisTwin® for NMR. You can use this digital equivalent on ChemisTwin® for your sample identity confirmation and compound quantification (with digital external standard). An NMR spectrum of this substance can be viewed and an online comparison against your sample can be performed with a few mouseclicks. Learn more here and start your free trial.
Storage Class Code
11 - Combustible Solids
WGK
WGK 3
Flash Point(F)
Not applicable
Flash Point(C)
Not applicable
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Find documentation for the products that you have recently purchased in the Document Library.
Non-invasive test using palmitate in patients with suspected fatty acid oxidation defects: disease-specific acylcarnitine patterns can help to establish the diagnosis
Janzen N, et al.
Orphanet Journal of Rare Diseases, 12(1), 187-187 (2017)
Supervised machine learning techniques for the classification of metabolic disorders in newborns
Baumgartner C, et al.
Bioinformatics, 20(17), 2985-2996 (2004)
Quantification of metabolites in dried blood spots by direct infusion high resolution mass spectrometry
Van der Ham M, et al., et al.
Analytica Chimica Acta, 979, 45-50 (2017)
Differences between acylcarnitine profiles in plasma and bloodspots
Diekman FE, et al.
Molecular Genetics and Metabolism, 110(1-2), 116-121 (2013)
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