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Self-calibrating multiplexed microneedle electrode array for continuous mapping of subcutaneous multi-analytes in
Xiangling Li1,2, Shantao Zheng1, Mengyi He1
1State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China.
Innovation (Cambridge (Mass.))
|February 24, 2025
Summary
This study introduces a self-calibrating microneedle electrode array for real-time monitoring of multiple biochemical markers in subcutaneous fluid. The device enhances accuracy and reliability for long-term in vivo diagnostics.
Area of Science:
- Biomedical Engineering
- Biosensors
- Analytical Chemistry
Background:
- Multiplexed monitoring of biochemical markers is crucial for evaluating diabetes complications.
- Existing interstitial fluid sensors face challenges with electrode material accuracy and signal stability due to enzyme degradation in vivo.
Purpose of the Study:
- To develop a self-calibrating multiplexed microneedle electrode array (SC-MMNEA) for continuous, real-time monitoring of multiple bioanalytes in subcutaneous space.
- To address the limitations of implantable electrodes, including decreased accuracy from long-term tissue variation and enzyme degradation.
Main Methods:
- Developed an integrated array of discrete microneedle electrodes for single-analyte detection.
- Implemented an MN-delivery-mediated self-calibration technique to improve sensor reliability.
- Tested the SC-MMNEA in a rat model for in situ monitoring of glucose, cholesterol, uric acid, lactate, ROSs, Na+, K+, Ca2+, and pH.
Main Results:
- The SC-MMNEA successfully provided real-time monitoring of multiplexed analyte concentrations in vivo.
- Self-calibration significantly improved the accuracy of the microneedle sensors.
- Demonstrated good accuracy in detecting various bioanalytes in a rat model.
Conclusions:
- The SC-MMNEA enables minimally invasive, in situ monitoring of physiological states.
- This technology holds potential for advancing wearable devices for long-term in vivo chemical species monitoring.
- The self-calibration feature enhances the reliability of implantable biosensors.
