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Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing

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Published on: June 1, 2012

Multiplexed microneedle-based biosensor array for characterization of metabolic acidosis.

Philip R Miller¹, Shelby A Skoog, Thayne L Edwards

¹Joint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, NC 27695-7115, USA.

|January 24, 2012

Summary

This study introduces a microneedle biosensor array for real-time tissue chemistry monitoring. The device enables simultaneous detection of pH, glucose, and lactate, with a novel coating preventing immune cell adhesion.

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Area of Science:

Biomedical Engineering
Biosensor Technology
Tissue Chemistry Analysis

Background:

Monitoring tissue chemistry in situ is crucial for understanding physiological and pathological conditions.
Existing biosensing methods often lack multiplexing capabilities or in situ analysis.
Exercise-induced metabolic acidosis and tumor microenvironments present complex analytical challenges.

Purpose of the Study:

To develop a microneedle-based biosensor array for multiplexed in situ detection.
To enable simultaneous and selective amperometric detection of key analytes in complex biological media.
To evaluate the biocompatibility and stability of the biosensor materials.

Main Methods:

Fabrication of a microneedle array integrated with amperometric sensors.
Modification of sensor surfaces with a cell-resistant Lipidure® coating.
Validation of sensor performance in complex media across physiologically relevant concentration ranges.

Main Results:

Demonstrated simultaneous and selective detection of pH, glucose, and lactate.
Achieved accurate measurements in complex media.
Confirmed significant inhibition of macrophage adhesion by the Lipidure® coating over 48 hours without delamination.

Conclusions:

The developed microneedle biosensor array offers a promising platform for multiplexed in situ tissue chemistry monitoring.
The cell-resistant coating enhances biocompatibility, crucial for in vivo applications.
This technology has potential applications in diagnostics, research, and personalized medicine.