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Bioinspired Disordered Flexible Metasurfaces for Human Tear Analysis Using Broadband Surface-Enhanced Raman
Vinayak Narasimhan1, Radwanul Hasan Siddique1,2, Haeri Park1
1Department of Medical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
ACS Omega
|June 18, 2020
Summary
Researchers developed a novel flexible metasurface with bioinspired quasi-(dis)ordered nanostructures. This technology offers reliable, tunable broadband surface-enhanced Raman scattering (SERS) for practical biosensing applications.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Spectroscopy
Background:
- Flexible surface-enhanced Raman scattering (SERS) is promising for point-of-care diagnostics.
- Traditional flexible SERS devices lack reliable broadband enhancement due to periodic or random nanostructures.
- Substrate interference is a significant challenge in flexible SERS applications.
Purpose of the Study:
- To develop a flexible SERS metasurface with tunable, broadband enhancement.
- To address the limitations of existing flexible SERS technologies for practical biosensing.
- To create a reliable platform for non-invasive biosensing of biomarkers.
Main Methods:
- Fabrication of a flexible metasurface (flex-MS) using bioinspired quasi-(dis)ordered metal-insulator-metal (MIM) nanostructures.
- Design of MIM nanostructures to create spectrally variable, spatially controlled electromagnetic hotspots.
- Blocking of background Raman signals from the substrate using the MIM design.
Main Results:
- The flex-MS exhibits broadband yet tunable SERS enhancement.
- Quasi-(dis)ordering of nanostructures effectively controls SERS enhancement profiles.
- Demonstrated successful detection of human tear uric acid (25-150 μM) ex vivo.
- Ex vivo results showed good agreement with a commercial enzyme-based assay.
Conclusions:
- Bioinspired quasi-(dis)ordered nanostructures provide a reliable method for tunable broadband SERS.
- The developed flex-MS effectively localizes signals and mitigates substrate interference.
- This technology holds potential for non-invasive, point-of-care diagnostic applications.

