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Vol. 14 (2022)

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

https://doi.org/10.1007/s40820-022-00803-x
Chenglong Lin
State Key Laboratory of High‑Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People’s Republic of China
Shunshun Liang
State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, 200032 Shanghai, People’s Republic of China
Yusi Peng
State Key Laboratory of High‑Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People’s Republic of China
Li Long
School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510641, People’s Republic of China
Yanyan Li
State Key Laboratory of High‑Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People’s Republic of China
Zhengren Huang
State Key Laboratory of High‑Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People’s Republic of China
Nguyen Viet Long
Department of Electronics and Telecommunications, Saigon University, Hochiminh City, Vietnam
Xiaoying Luo
State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, 200032 Shanghai, People’s Republic of China
Jianjun Liu
State Key Laboratory of High‑Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People’s Republic of China
Zhiyuan Li
School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510641, People’s Republic of China
Yong Yang
State Key Laboratory of High‑Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, People’s Republic of China

Corresponding Author: Yong Yang

yangyong@mail.sic.ac.cn

Nano-Micro Letters, Vol. 14 (2022), Article Number: 75

Abstract

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.


Highlights:


1 Ag/BP-NS exhibit remarkable surface-enhanced Raman scattering performance with single-molecule detection ability. This remarkable enhancement can be attributed to the synergistic resonance enhancement of R6G molecular resonance, photo-induced charge transfer resonance and electromagnetic resonance.
2 A new polarization-mapping method was proposed, which can quickly screen out single-molecule signals and prove that the obtained spectra are emitted by single molecule.
3 The recognition of different tumor exosomes can be realized combining the method of machine learning.

Keywords

Black phosphorus Single molecule SERS Exosome Machine learning
Lin, Chenglong, Shunshun Liang, Yusi Peng, Li Long, Yanyan Li, Zhengren Huang, Nguyen Viet Long, Xiaoying Luo, Jianjun Liu, Zhiyuan Li, and Yong Yang. 2022. “Visualized SERS Imaging of Single Molecule by Ag/Black Phosphorus Nanosheets”. Nano-Micro Letters 14 (March):75. https://doi.org/10.1007/s40820-022-00803-x.
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