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Nano Research 2022, 15(10): 9327-9333 https://doi.org/10.1007/s12274-022-4602-1
Research Article | Issue | Published: 12 July 2022

Natural interface-mediated self-assembly of graphene-isolated-nanocrystals for plasmonic arrays construction and personalized information acquisition

Show Author's Information Shen Wang1,§,  Tianhuan Peng1,§,  Shengkai Li1,  Linlin Wang1,  Liang Zhang1,  Zhiwei Yin1,  Xin Xia1,  Xinqi Cai1,  Xiaoxu Cao1,  Long Chen2,  Zhuo Chen1( ),  Weihong Tan1,3,4
Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China
Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa 999078, Macau, China
The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China
Institute of Molecular Medicine (IMM), Renji Hospital, Shanghai Jiao Tong University School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

§ Shen Wang and Tianhuan Peng contributed equally to this work.

Keywords:
self-assembly, interface, latent fingerprint, personalized information acquisition
Topics:
Image acquisitionSelf assembly
Cite this article:
Wang S, Peng T, Li S, et al. Natural interface-mediated self-assembly of graphene-isolated-nanocrystals for plasmonic arrays construction and personalized information acquisition. Nano Research, 2022, 15(10): 9327-9333. https://doi.org/10.1007/s12274-022-4602-1
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Abstract Full text Electronic supplementary material About this article

As Interface mediated self-assembly of nanocrystals provide excellent strategy for sensing, catalysis or photonics, the construction of innovative interfaces and development of versatile strategies for nanocrystal synthesis are urgently needed. Herein, latent fingerprints (LFPs), the most common markers for human identity, are used as naturally accessible interface for organization of graphene isolated nanocrystals (GINs). Excitingly, the selective adsorption of GINs on lipidic ridge provides a universal approach for the in-situ construction of the plasmonic arrays. Such system with intrinsic chrominance and Raman signal enables the high resolution colorimetric and surfaced-enhanced Raman spectroscopy (SERS) dual-mode imaging, which can detail the structures of the LFPs from 1st to 3rd level even the LFPs are shielded. Furthermore, the interface can be constructed on diverse materials by a simple finger-pressing process and the densely packed arrays can serve as superior SERS substrate for label-free, non-invasive acquisition of molecule information especially residues in LFPs. The combination of chemical composition with detailed structures efficiently recognizes the human identity and could help link it to a crime scene. Overall, the LFPs can act as natural platform for interface mediated localized assembly and personalized information acquisition for forensic science or precise medicine.


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Abstract
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Electronic supplementary material
About this article

Natural interface-mediated self-assembly of graphene-isolated-nanocrystals for plasmonic arrays construction and personalized information acquisition

Show Author's information Shen Wang1,§, Tianhuan Peng1,§, Shengkai Li1, Linlin Wang1, Liang Zhang1, Zhiwei Yin1, Xin Xia1, Xinqi Cai1, Xiaoxu Cao1, Long Chen2, Zhuo Chen1( ), Weihong Tan1,3,4
Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha 410082, China
Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa 999078, Macau, China
The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China
Institute of Molecular Medicine (IMM), Renji Hospital, Shanghai Jiao Tong University School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

§ Shen Wang and Tianhuan Peng contributed equally to this work.

Abstract

As Interface mediated self-assembly of nanocrystals provide excellent strategy for sensing, catalysis or photonics, the construction of innovative interfaces and development of versatile strategies for nanocrystal synthesis are urgently needed. Herein, latent fingerprints (LFPs), the most common markers for human identity, are used as naturally accessible interface for organization of graphene isolated nanocrystals (GINs). Excitingly, the selective adsorption of GINs on lipidic ridge provides a universal approach for the in-situ construction of the plasmonic arrays. Such system with intrinsic chrominance and Raman signal enables the high resolution colorimetric and surfaced-enhanced Raman spectroscopy (SERS) dual-mode imaging, which can detail the structures of the LFPs from 1st to 3rd level even the LFPs are shielded. Furthermore, the interface can be constructed on diverse materials by a simple finger-pressing process and the densely packed arrays can serve as superior SERS substrate for label-free, non-invasive acquisition of molecule information especially residues in LFPs. The combination of chemical composition with detailed structures efficiently recognizes the human identity and could help link it to a crime scene. Overall, the LFPs can act as natural platform for interface mediated localized assembly and personalized information acquisition for forensic science or precise medicine.

Keywords: self-assembly, interface, latent fingerprint, personalized information acquisition

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Publication history
Copyright
Acknowledgements

Publication history

Received: 24 April 2022
Revised: 28 May 2022
Accepted: 29 May 2022
Published: 12 July 2022
Issue date: October 2022

Copyright

© Tsinghua University Press 2022

Acknowledgements

Acknowledgements

This work was financially supported by the National Key Research and Development Program of China (No. 2020YFA0210800), the National Natural Science Foundation of China (No. 21522501), the Science and Technology Innovation Program of Hunan Province (No. 2020RC4017), and the Science and Technology Development Fund, Macau (No. 196/2017/A3).

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