Fingerprint Spectrum Recognition Based on Surface Wave Propagation

Traditional methodologies aimed at enhancing sensing performance typically revolve around optimizing the near-field response of individual meta-atoms. However, when addressing fingerprint recognition for bio-substances, the need arises for multiple pixelated metasurfaces to establish a quasi-continuous spectrum. Herein, we introduce an innovative sensing approach for Terahertz (THz) fingerprint recognition, capitalizing on surface waves (SWs). This strategy facilitates the simultaneous resolution of diverse fingerprint details within a continuous spectrum based on the transmission amplitude of SWs. Significantly, our approach circumvents the complexities associated with meta-atom design and the constraints imposed by pixelated metasurfaces on device integration. Furthermore, it broadens the research landscape concerning metasurface-excited SWs.