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Visualized SERS Imaging of Single Molecule by Ag/Black Phosphorus Nanosheets

Lin, Chenglong; Liang, Shunshun; Peng, Yusi; Long, Li; Li, Yanyan; Huang, Zhengren*; Nguyen Viet Long; Luo, Xiaoying; Liu, Jianjun; Li, Zhiyuan; Yang, Yong*
Science Citation Index Expanded
上海交通大学; 中国科学院研究生院; 中国科学院; y

摘要

Single-molecule detection and imaging are of great value in chemical analysis, biomarker identification and other trace detection fields. However, the localization and visualization of single molecule are still quite a challenge. Here, we report a special-engineered nanostructure of Ag nanoparticles embedded in multi-layer black phosphorus nanosheets (Ag/BP-NS) synthesized by a unique photoreduction method as a surface-enhanced Raman scattering (SERS) sensor. Such a SERS substrate features the lowest detection limit of 10(-20) mol L-1 for R6G, which is due to the three synergistic resonance enhancement of molecular resonance, photo-induced charge transfer resonance and electromagnetic resonance. We propose a polarization-mapping strategy to realize the detection and visualization of single molecule. In addition, combined with machine learning, Ag/BP-NS substrates are capable of recognition of different tumor exosomes, which is meaningful for monitoring and early warning of the cancer. This work provides a reliable strategy for the detection of single molecule and a potential candidate for the practical bio-application of SERS technology.

关键词

Black phosphorus Single molecule SERS Exosome Machine learning