Free-standing membrane metasurfaces for enhanced biochemical sensing
Metasurfaces are thin, engineered planar structures that uniquely manipulate electromagnetic waves, providing exceptional control over light properties. High-index dielectric metasurfaces with sharp resonances in the mid-infrared (mid-IR) spectrum are ideal for studying light-matter interactions near cavities. Traditionally, mid-IR metasurfaces are made on transparent solid substrates like CaF2, BaF2, and MgF2, which degrade resonance quality (Q factor) and hinder efficient sample binding to near-field hotspots. These substrates also obstruct scalable manufacturing. Here, we report free-standing silicon membrane metasurfaces with high-Q (Q factor ~734) resonances that trap light in air cavities etched into single-crystal Si membranes. Applications of these photonic metadevices include vibrational strong coupling with the polymethyl methacrylate (PMMA) C=O bond and biosensing by detecting a protein monolayer. This new metasurface platform promises compact, sensitive photonic devices, enabling monolithic integration with chip-based light sources and detectors for polaritonic chemistry and biochemical sensing
Authors
- Hongyan Mei (ORCID: https://orcid.org/0000-0002-4461-7438)
- Samir Rosas (ORCID: https://orcid.org/0000-0001-5035-8949)
- Wihan Adi (ORCID: https://orcid.org/0000-0002-4439-2021)
- Yuri S. Kivshar (ORCID: https://orcid.org/0000-0002-3410-812X)
- Filiz Yesilköy (ORCID: https://orcid.org/0000-0001-8483-3285)
- Mikhail A. Kats (ORCID: https://orcid.org/0000-0003-4897-4720)
- David A. Czaplewski (ORCID: https://orcid.org/0000-0003-2262-0908)
- S. Naresh Kumar
- Aidana Beisenova (ORCID: https://orcid.org/0000-0002-7062-0008)
Institutions
- Australian National University (AU)
- Argonne National Laboratory (US)
- University of Wisconsin–Madison (US)
Publication Details
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1117/12.3041321
- Citations
- 1
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.81