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SERS-Integrated Microneedles: Bridging Nanoplasmonics and Microsampling for Advanced Bioanalysis
Dongchang Yang1, Brian Youden1,2, Naizhen Yu1
1Department of Chemistry, Cape Breton University, Sydney, Nova Scotia B1P 6L2, Canada.
ACS Sensors
|October 8, 2025
Summary
Sensitive microneedles integrated with surface-enhanced Raman spectroscopy (SERS-MNs) offer a noninvasive method for real-time health monitoring. This technology enables convenient, self-administered biochemical analysis for diagnostics, agriculture, and food safety.
Area of Science:
- Analytical Chemistry
- Biomedical Engineering
- Materials Science
Background:
- Conventional biological sampling methods are invasive, costly, and inconvenient.
- Sensitive analytical techniques are crucial for health monitoring, diagnostics, agriculture, and food safety.
Purpose of the Study:
- To explore the emerging applications of surface-enhanced Raman spectroscopy-integrated microneedles (SERS-MNs).
- To critically examine the requirements, working principles, challenges, and opportunities for SERS-MNs in various fields.
Main Methods:
- Integration of microneedle (MN) technology with surface-enhanced Raman spectroscopy (SERS).
- Development of portable, self-administered devices and wearable medical devices incorporating SERS-MNs.
- Systematic examination of materials, structural design, and fabrication methods for SERS-MNs.
Main Results:
- SERS-MNs provide a noninvasive, convenient, and highly sensitive approach for in vivo sampling of extracellular fluids.
- The hybrid technique offers unprecedented user compliance and analytical sensitivity for biomonitoring.
- SERS-MNs are suitable for point-of-care testing and real-time, long-term biochemical monitoring via wearable devices.
Conclusions:
- SERS-MNs represent a versatile technology for clinical diagnostics, precision agriculture, and food safety.
- Integration into wearable devices facilitates long-term, real-time health monitoring, empowering proactive health management.
- Future opportunities lie in advancing SERS-MNs for widespread application in diverse monitoring scenarios.

