Zhang Chao, Tan Jibing, Du Baoqiang, Ji Chang, Pei Zhiyang, Shao Mingrui, Jiang Shouzhen, Zhao Xiaofei, Yu Jing, Man Baoyuan, Li Zhen, Xu Kaichen
Shandong Provincial Engineering and Technical Center of Light Manipulation, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
ACS Appl Mater Interfaces. 2024 Mar 6;16(9):12085-12094. doi: 10.1021/acsami.3c18409. Epub 2024 Feb 22.
Actively controlling surface-enhanced Raman scattering (SERS) performance plays a vital role in highly sensitive detection or in situ monitoring. Nevertheless, it is still challenging to achieve further modulation of electromagnetic enhancement and chemical enhancement simultaneously in SERS detection. In this study, a silver nanocavity structure with graphene as a spacer layer is coupled with thermoelectric semiconductor P-type gallium nitride (GaN) to form an electric-field-induced SERS (E-SERS) for dual enhancement. After applying the electric field, the intensity of SERS signals is further enhanced by over 10 times. The thermoelectric field enables fast and reproducible doping of graphene, thereby modulating its Fermi level over a wide range. The thermoelectric field also regulates the position of the plasmon resonance peak of the silver nanocavity structure, rendering synchronous dual electromagnetic and chemical regulation. Additionally, the method enables the trace detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A detailed theoretical analysis is performed based on the experimental results and finite-element calculations, paving the way for the fabrication of high-efficient E-SERS substrates.
主动控制表面增强拉曼散射（SERS）性能在高灵敏度检测或原位监测中起着至关重要的作用。然而，在SERS检测中同时实现电磁增强和化学增强的进一步调制仍然具有挑战性。在本研究中，以石墨烯为间隔层的银纳米腔结构与热电半导体P型氮化镓（GaN）耦合，形成用于双重增强的电场诱导SERS（E-SERS）。施加电场后，SERS信号强度进一步增强超过10倍。热电场使石墨烯能够快速且可重复地掺杂，从而在很宽的范围内调节其费米能级。热电场还调节银纳米腔结构的等离子体共振峰位置，实现同步的双重电磁和化学调节。此外，该方法能够对严重急性呼吸综合征冠状病毒2（SARS-CoV-2）进行痕量检测。基于实验结果和有限元计算进行了详细的理论分析，为高效E-SERS基底的制备铺平了道路。
