D-arabinitol-[4,5-13C2]

D-arabinitol-[4,5-13C2], a specialized form of the sugar alcohol D-arabinitol, is tailored for advanced metabolic and biochemical research. Here are the key applications of D-arabinitol-[4,5-13C2]:

Metabolic Flux Analysis: In metabolic flux analysis, D-arabinitol-[4,5-13C2] plays a pivotal role in elucidating the intricate pathways and interconnections of cellular metabolic processes. By introducing this isotopically labeled compound into biological systems, researchers can meticulously track carbon transitions across diverse metabolic routes using cutting-edge methods like NMR or mass spectrometry. This approach offers profound insight into cellular metabolism, pinpointing crucial metabolic nodes with precision.

Pathogen Detection: Within clinical microbiology, D-arabinitol-[4,5-13C2] emerges as a key biomarker for fungal infections, offering a sophisticated diagnostic tool. Through the detection of its presence and isotopic enrichment in biological samples using advanced analytical techniques, such as candidiasis, this advancement enhances diagnostic accuracy and speed, ultimately leading to optimized patient management and treatment outcomes.

Isotope-Labeling Studies: In isotope-labeling studies, D-arabinitol-[4,5-13C2] serves as a valuable asset in the exploration of metabolic pathways and enzyme activities. By integrating the labeled compound into enzyme assays or metabolic investigations, researchers can meticulously trace the incorporation and transformation of D-arabinitol through specific biochemical reactions. This aids in unraveling the intricate functions and kinetics of enzymes involved in sugar metabolism, shedding light on crucial biological processes.

Bioengineering Research: Within the realm of bioengineering, D-arabinitol-[4,5-13C2] emerges as a powerful tool for studying metabolic pathways critical for biofuel and bioproduct production. By meticulously tracking the labeled carbon atoms, scientists can optimize microbial metabolic pathways to amplify the yield and efficiency of desired products. This optimization plays a vital role in advancing sustainable and efficient bioengineering processes, driving innovation in the field.