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D-Arabinitol-[5-13C]

General Information
Catalog: BLP-013320
Molecular Formula: C4[13C]H12O5
Molecular Weight: 153.14
Chemical Structure
D-Arabinitol-[5-13C]
Description Isotope labelled analogue of D-arabinitol, a sugar alcohol. D-arabinitol was used as a diagnostic tool for the detection of fungal infections in neutropenic patients.
Synonyms D-[5-13C]arabinitol; D-[5-13C]arabitol; D-[1-13C]lyxitol; D-arabinitol (5-13C); arabite (5-13C); D-arabinitol-5-13C
Related CAS 488-82-4 (unlabelled)
Solubility Soluble in DMSO, Methanol
Appearance White to Off-White Solid
Storage Store at -20°C

D-Arabinitol-[5-13C], a stable isotope-labeled compound, is used predominantly in metabolic research. Here are some key applications of D-Arabinitol-[5-13C]:

Metabolic Pathway Tracing: D-Arabinitol-[5-13C] is employed to trace metabolic pathways in various organisms by integrating into metabolic cycles. Researchers can monitor the labeled carbon atom through the metabolic network using techniques such as NMR or mass spectrometry. This provides insights into metabolic flows and helps elucidate complex biochemical pathways.

Diagnostic Tool: In preclinical diagnostics, D-Arabinitol-[5-13C] can be used as a biomarker for fungal infections. By measuring the levels of this compound in biological fluids, experts can assess the presence and severity of infections caused by fungi like Candida species. This method aids in the timely and accurate diagnosis of fungal diseases.

Pharmacokinetics Studies: D-Arabinitol-[5-13C] is useful in pharmacokinetic studies to understand the absorption, distribution, metabolism, and excretion (ADME) of drugs. By administering this labeled compound, researchers can track its movement and transformation within the body. This information is critical for drug development and optimization of therapeutic regimens.

Biotechnology Research: In biotechnology, D-Arabinitol-[5-13C] can be used in studies related to microbial metabolism and industrial biotechnology. By incorporating this labeled substrate in microbial cultures, scientists can evaluate metabolic fluxes and optimize conditions for bioproduction processes. This supports the development of efficient and sustainable biotechnological applications.

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