Boron nitride nanosheets improve sensitivity and reusability of surface-enhanced raman spectroscopy

Cai, Qiran, Mateti, Srikanth, Yang, Wenrong, Jones, Rob, Watanabe, Kenji, Taniguchi, Takashi, Huang, Shaoming, Chen, Ying and Li, Lu Hua 2016, Boron nitride nanosheets improve sensitivity and reusability of surface-enhanced raman spectroscopy, Angewandte chemie international edition, vol. 55, no. 29, pp. 8405-8409, doi: 10.1002/anie.201600517.

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Title Boron nitride nanosheets improve sensitivity and reusability of surface-enhanced raman spectroscopy
Author(s) Cai, Qiran
Mateti, SrikanthORCID iD for Mateti, Srikanth
Yang, WenrongORCID iD for Yang, Wenrong
Jones, Rob
Watanabe, Kenji
Taniguchi, Takashi
Huang, Shaoming
Chen, YingORCID iD for Chen, Ying
Li, Lu HuaORCID iD for Li, Lu Hua
Journal name Angewandte chemie international edition
Volume number 55
Issue number 29
Start page 8405
End page 8409
Total pages 5
Publisher Wiley-Blackwell
Place of publication Chichester, Eng.
Publication date 2016-07-11
ISSN 1521-3773
Keyword(s) boron nitride
surface adsorption
surface enhanced Raman spectroscopy (SERS)
Summary Surface enhanced Raman spectroscopy (SERS) is a useful multidisciplinary analytic technique. However, it is still a challenge to produce SERS substrates that are highly sensitive, reproducible, stable, reusable, and scalable. Herein, we demonstrate that atomically thin boron nitride (BN) nanosheets have many unique and desirable properties to help solve this challenge. The synergic effect of the atomic thickness, high flexibility, stronger surface adsorption capability, electrical insulation, impermeability, high thermal and chemical stability of BN nanosheets can increase the Raman sensitivity by up to two orders, and in the meantime attain long-term stability and extraordinary reusability not achievable by other materials. These advances will greatly facilitate the wider use of SERS in many fields.
Language eng
DOI 10.1002/anie.201600517
Field of Research 100708 Nanomaterials
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID DE160100796
Copyright notice ©2016, Wiley-VCH Verlag GmbH & Co.
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