Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection

Area of Science:

• Biomedical Engineering
• Nanotechnology
• Analytical Chemistry

Background:

• Wearable diagnostics require robust, simultaneous multi-biomarker detection in minimal sample volumes.
• Existing technologies often face limitations in sensitivity, cost, or sample volume requirements for continuous monitoring.

Purpose of the Study:

• To develop and demonstrate a non-faradaic biosensor for simultaneous detection of alcohol, glucose, and lactate in low sweat volumes.
• To achieve enhanced sensor performance using nanotextured zinc oxide (ZnO) films on a flexible substrate.

Main Methods:

• Utilized nanotextured ZnO films functionalized with specific enzymes for alcohol, glucose, and lactate detection.
• Employed non-faradaic chronoamperometry to measure current changes upon biomarker interaction.
• Validated sensor specificity against cortisol and assessed performance in continuous mode over 1.5 hours.

Main Results:

• Demonstrated simultaneous detection of alcohol, glucose, and lactate in 1-5 μL of sweat.
• Achieved reliable distinction between low, mid, and high concentration ranges for all three biomarkers.
• Quantified low detection limits and a broad dynamic range suitable for wearable applications.

Conclusions:

• The developed biosensor platform shows high potential for integration into wearable diagnostic devices.
• The robust, low-cost, and sensitive platform enables continuous monitoring of lifestyle biomarkers.
• This technology advances the field of personalized health monitoring through advanced biosensing capabilities.