Efficient Simultaneous Detection of Metabolites Based on Electroenzymatic Assembly Strategy

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Cardiovascular Disease Diagnostics

Background:

• Monitoring cardiovascular disease (CVD) metabolites is crucial for assessing disease risk.
• Current hospital-based detection methods are time-consuming and inefficient for chronic CVD management.

Purpose of the Study:

• To develop an electroenzymatic mediator (EM) sensor for simultaneous detection of three key CVD metabolites.
• To improve the efficiency of chronic CVD assessment through a novel sensor technology.

Main Methods:

• An electroenzymatic assembly peak separation strategy was employed.
• Three distinct EM layers were assembled on a single electrode for tunable potential electron transfer.
• Simultaneous quantification of three metabolites was achieved via three distinct peak currents.

Main Results:

• The EM sensor demonstrated high sensitivity for simultaneous detection of three metabolites, with a lower limit of 0.01 mM.
• A strong linear correlation (>0.980) was observed between the sensor and clinical data from 242 patients.
• The risk assessment consistency reached 94.6%.

Conclusions:

• The developed EM sensor is a promising tool for expanding metabolite detection capabilities.
• This sensor technology holds potential as a home healthcare tool for effective CVD risk assessment.