Magnetic-assisted surface-enhanced Raman spectroscopy of Fe3O4@C/Ag nanostructures for non-invasive, enzyme-free and ultrasensitive detection of glucose in urine for clinical diagnostics
Surface-enhanced Raman spectroscopy (SERS) is a powerful analytical technique capable of directly detecting target molecules with ultrasensitivity down to the single-molecule level via their characteristic vibrational fingerprints. While SERS has achieved significant success in detecting various analytes such as organic dyes, pesticides, explosives, and bacteria, the direct detection of glucose – a vital biomarker for diabetes diagnosis and management – remains challenging due to its low affinity for bare metal surfaces and inherently weak Raman scattering cross-section. Despite these limitations, SERS offers a promising alternative to traditional enzyme-based glucose detection methods, which require invasive blood sampling and are highly susceptible to environmental fluctuations such as pH and temperature. In this work, we report the design of Fe 3 O 4 @C/Ag nanostructures as a high-performance SERS substrate for non-invasive, enzyme-free, and ultrasensitive glucose detection in artificial urine. The carbon shell provides good glucose adsorption, while the Ag coating ensures strong plasmonic enhancement. Notably, we introduce a magnetic-assisted SERS (MA-SERS) strategy in which the Fe 3 O 4 @C/Ag nanostructures are dispersed into urine samples to capture glucose and subsequently magnetically retrieved for SERS analysis. This platform enables direct glucose detection at concentrations as low as 0.21 mM, significantly below the clinical prediabetes threshold (5.6 mM), with excellent recovery values ranging from 92 % to 109 %. These results demonstrate the strong potential of the MA-SERS approach as a practical, non-invasive, and enzyme-free diagnostic tool for early detection and monitoring of diabetes. • MA-SERS technique using Fe 3 O 4 @C/Ag nanostructures enables ultrasensitive direct glucose detection. • MA-SERS enables enzyme-free, non-invasive glucose sensing in urine, overcoming blood assay drawbacks. • An ultralow detection limit of 0.21 mM was achieved, far below the clinical prediabetes threshold (5.6 mM). • The approachshowed excellent reliability (RSD < 10 %) and strong practicability (92–109 % recovery) in urine.
Institutions
- Phenikaa University (VN)
- University Of Transport Technology (VN)
- Vietnam Academy of Science and Technology (VN)
- Hanoi University of Science and Technology (VN)
Publication Details
- Journal
- Nano-Structures & Nano-Objects
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1016/j.nanoso.2025.101553
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00