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D-Xylitol-[1-13C]

General Information
Catalog: BLP-008145
Molecular Formula: C4[13C]H12O5
Molecular Weight: 153.14
Chemical Structure
D-Xylitol-[1-13C]
Synonyms D-xylitol 1-13C; D-[1-13C]xylitol
Related CAS 87-99-0 (unlabelled)
Purity 98% by CP; 99% atom 13C
Storage Store at -20°C

D-Xylitol-[1-13C], an isotopically labeled variant of xylitol, serves as a significant component in scientific inquiries. Here are the key applications of D-Xylitol-[1-13C]:

Metabolic Flux Analysis: Utilizing D-Xylitol-[1-13C] for metabolic flux analysis allows researchers to meticulously track the metabolic pathways of xylitol within biological systems. By tracing the journey of labeled carbon isotopes, scientists can intricately map and quantify the flow of carbon through diverse metabolic routes. This detailed analysis is paramount for unraveling the complexities of cellular metabolism and fine-tuning industrial fermentation processes.

NMR Spectroscopy: The 13C isotopic labeling present in D-Xylitol-[1-13C] positions it as an optimal compound for nuclear magnetic resonance (NMR) spectroscopy investigations. This technique empowers scientists to explore the structural and dynamic traits of xylitol in solutions or biological samples. Through NMR spectroscopy, researchers gain profound insights into molecular interactions and conformations, shedding light on the intricate world of molecular behavior.

In Vivo Studies: Engaging in in vivo studies with D-Xylitol-[1-13C] involves administering the compound to animal models to scrutinize its metabolic destiny within an organism. This process aids in comprehending the absorption distribution and excretion patterns of xylitol along with its potential impacts on energy metabolism. Such studies play a pivotal role in assessing the safety and nutritional implications of dietary xylitol, offering valuable data for scientific evaluation.

Stable Isotope Labeling: Within the realm of stable isotope labeling, the integration of D-Xylitol-[1-13C] with other labeled substrates facilitates the exploration of intricate biological systems. This approach enables precise measurements of biological processes like carbon cycling and enzyme kinetics. Such applications are indispensable for advancing systems biology and conducting integrative metabolic studies, contributing to a deeper understanding of complex biological mechanisms.

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