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Sheathless Capillary Electrophoresis–Mass Spectrometry for Metabolic Profiling of Biological Samples
Published on: October 1, 2016
Profiling of Biofluid Metabolites with a Kinetically Differentiated Binary Biosensing Platform.
Bing Qi1, Ziyun Miao1, Jiahui Tan1
1The Key Lab of Health Chemistry & Molecular Diagnosis of Suzhou, College of Chemistry, Chemical Engineering & Materials Science, Soochow University, Suzhou 215123, China.
A novel binary biosensing platform utilizing kinetically differentiated dyes expands NAD(P)H detection range by 20x. This method accurately quantifies biofluid metabolites for improved disease diagnosis and health management.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Biochemistry
Background:
- Monitoring biofluid metabolites is crucial for disease diagnosis and health management.
- Existing methods for metabolite detection often have limitations in range and universality.
- Nicotinamide adenine dinucleotide (phosphate) [NAD(P)H] is a key cofactor involved in numerous metabolic processes.
Purpose of the Study:
- To develop a universal biosensing platform for profiling diverse biofluid metabolites.
- To overcome the limitations of traditional unitary detection strategies for NAD(P)H.
- To establish a method for accurate and expanded range quantification of metabolites.
Main Methods:
- Development of a kinetically differentiated binary biosensing platform using cyanine and quinolinium derivative dyes.
- Utilizing the platform to measure variations in NAD(P)H concentration during biochemical reactions.
- Quantification of serum metabolites including sorbitol, 2-hydroxybutyric acid (2HB), and α-ketoglutarate (AKG).
- Construction of a paper-based assay for point-of-care (POC) metabolite profiling.
Main Results:
- The binary biosensing platform demonstrated a 20-fold wider linear range compared to traditional methods.
- Accurate quantification of serum sorbitol, 2HB, and AKG with accuracies exceeding 93%.
- Successful development of a paper-based assay for POC applications.
- The platform showed versatility for analyzing molecules reacting with NAD(P)H.
Conclusions:
- The kinetically differentiated binary biosensing platform offers a universal and expanded-range approach for metabolite profiling.
- This technology provides a promising paradigm for high-throughput analysis of disease-associated biomolecules.
- The developed platform holds significant potential for advancing disease diagnosis and health management through accessible metabolite monitoring.
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