A SERS sensor based on 3D nanocone forests capable of intelligent classification of aquatic product dyes

doi:10.1039/d3tc02271d

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	A SERS sensor based on 3D nanocone forests capable of intelligent classification of aquatic product dyes
	Y. Zhao, R. Huang, X. Li, X. Mao, S. Xu, N. Zhou, S. Li, H. Mao and C. Huang
	2023
发表期刊	Journal of Materials Chemistry C
ISSN	20507526
卷号	11 期号:41 页码:14237-14247
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.
DOI	10.1039/d3tc02271d
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	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
推荐引用方式 GB/T 7714	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.

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