中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A SERS sensor based on 3D nanocone forests capable of intelligent classification of aquatic product dyes

文献类型:期刊论文

作者Y. Zhao, R. Huang, X. Li, X. Mao, S. Xu, N. Zhou, S. Li, H. Mao and C. Huang
刊名Journal of Materials Chemistry C
出版日期2023
卷号11期号:41页码:14237-14247
ISSN号20507526
DOI10.1039/d3tc02271d
英文摘要In this work, a novel surface-enhanced Raman scattering (SERS) sensor with high performance and capable of intelligent classification is developed for detection of prohibited dyes in aquatic products. The sensor is composed of nanocone forests (NCFs) grafted with gold (Au) nanoparticles (AuNPs), which are further attached with silver (Ag) NPs. The prepared 3D Ag-AuNPs@NCFs exhibit plasmonic hybridization modes, and thus are able to form enhanced electromagnetic fields, endowing the sensor with high sensitivity. The detection limit of this sensor for R6G is as low as 10−9 M, and the relative standard deviation is smaller than 6.84%. Based on this sensor, aquatic product dyes with concentrations lower than the limits of visual recognition are conveniently detected. Besides, with the assistance of a convolutional neural network model, the different dyes with coincident Raman peaks and similar colors are100% classified. These results indicate that such a 3D Ag-AuNPs@NCF-based SERS sensor has great potential in practical applications. © 2023 The Royal Society of Chemistry.
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源URL[http://ir.ciomp.ac.cn/handle/181722/68247]  
专题中国科学院长春光学精密机械与物理研究所
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Y. Zhao, R. Huang, X. Li, X. Mao, S. Xu, N. Zhou, S. Li, H. Mao and C. Huang. A SERS sensor based on 3D nanocone forests capable of intelligent classification of aquatic product dyes[J]. Journal of Materials Chemistry C,2023,11(41):14237-14247.
APA Y. Zhao, R. Huang, X. Li, X. Mao, S. Xu, N. Zhou, S. Li, H. Mao and C. Huang.(2023).A SERS sensor based on 3D nanocone forests capable of intelligent classification of aquatic product dyes.Journal of Materials Chemistry C,11(41),14237-14247.
MLA Y. Zhao, R. Huang, X. Li, X. Mao, S. Xu, N. Zhou, S. Li, H. Mao and C. Huang."A SERS sensor based on 3D nanocone forests capable of intelligent classification of aquatic product dyes".Journal of Materials Chemistry C 11.41(2023):14237-14247.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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