Au@Ag Nanocube-Coated Polystyrene Microspheres as Hierarchical SERS Substrates for Trace Detection of As5+

被引:5
|
作者
Guan, Haoyu [1 ]
Fang, Guoqiang [1 ]
Li, Xinxin [2 ]
Dong, Haoyu [1 ]
Han, Siqingaowa [3 ]
Lin, Xiang [1 ]
Wang, Li [1 ]
机构
[1] Dalian Minzu Univ, Key Lab New Energy & Rare Earth Resource Utilizat, Key Lab Photosensit Mat & Devices Liaoning Prov, Sch Phys & Mat Engn,Liaoning Key Lab Plasma Techno, Dalian 116600, Peoples R China
[2] Dezhou Univ, Inst Biophys, Shandong Key Lab Biophys, Dezhou 253023, Peoples R China
[3] Inner Mongolia Minzu Univ, Affiliated Hosp, Tongliao 017099, Peoples R China
基金
中国国家自然科学基金;
关键词
Au@Ag NC/PS microsphere; self-assembly; SERS; As5+; machine learning; ENHANCED RAMAN-SCATTERING; SILVER NANOPARTICLES; FILTER-PAPER; SURFACE; NANOSTRUCTURES; SENSITIVITY; ARRAYS; GOLD;
D O I
10.1021/acsanm.3c04414
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The plasmon coupling properties of assembled metal nanogap structures are highly sensitive to the distance, shape, orientation, and configuration of faceted nanoparticles. However, the orientation control of nanoparticles is usually limited to in-plane configurations. In this paper, Au@Ag nanocubes (NCs) with sharp edges and corners were assembled on a polystyrene (PS) microsphere array as a hierarchical surface-enhanced Raman spectroscopy (SERS) substrate via a facile self-assembly technique. The Au@Ag NC monolayer undergoes an out-of-plane reconstruction and forms V-shaped nanogaps under the modulation of the PS microsphere array curved surface. This unique V-shaped nanogap can generate electromagnetic fields stronger than those of traditional parallel gaps and make it easier for target molecules to diffuse into the nanogaps. The three-dimensional (3D) SERS substrates have a wider spectral response and 20 times higher SERS activity than those of the Au@Ag NC monolayer films on flat substrates. The high sensitivity was demonstrated by the detection limit down to 10(-9) M for 4-MBA with a substrate enhancement factor up to 3.1 x 10(7). Furthermore, the optimized 3D SERS substrate was applied to determine As5+ in water with detection limits as low as 10(-8) M assisted by machine learning, indicating that the 3D SERS substrates have promising applications in food safety, environmental monitoring, and biological diagnosis.
引用
收藏
页码:23037 / 23046
页数:10
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