Short Description
Quantifies sorbitol concentration using a colorimetric (565 nm) or fluorimetric (530/585 nm) method.
Development Stage
Research-Grade Metabolic Assay Development
Description
The OXPHOSight™ Sorbitol Assay Kit provides a sensitive and reliable platform for quantifying sorbitol concentrations in biological, food, and beverage samples. This high-throughput compatible system utilizes an enzyme-coupled MTT/NAD reaction, making it essential for monitoring metabolic pathways and diabetes progression in pre-clinical research. By offering a simple, non-radioactive colorimetric method, it supports efficient drug screening and metabolic profiling to optimize therapeutic development.
Features
Rapid High-Throughput Format: Employs a simplified "mix-incubate-measure" protocol compatible with 96-well plates, ensuring high efficiency for large-scale screenings.
Superior Detection Sensitivity: Utilizes advanced enzymatic oxidation to achieve low micromolar detection limits across diverse biological and food matrices.
Exceptional Substrate Specificity: Minimizes interference from other sugars through optimized enzyme-coupled reactions, providing highly accurate and reproducible sorbitol measurements.
Process Relevance
Ensuring precise metabolic flux monitoring to optimize fermentation yields and maintain consistent quality in biopharmaceutical manufacturing processes.
Application Stage
Ideal for drug candidate screening, metabolic pathway development, and rigorous in-process industrial quality control validation.
Applications
Quantifying sorbitol in serum, plasma, urine, and diverse food samples; supports diabetes research, polyol pathway analysis, and industrial sugar-free product verification.
Qualified With
Internal performance validation using reference standards under defined assay conditions.
Target
Specifically detects D-Sorbitol concentration via enzymatic oxidation coupled with colorimetric or fluorometric signal output.
Detection Method
Absorbance at 565 nm
Sample Type
Biological (e.g. blood), food, beverage, and agriculture samples
Research Areas
Metabolism & endocrinology, diabetes research, food & beverage science, clinical diagnostics, polyol pathway regulation, etc.