Advanced SERS Platform for Uniform and Reliable Molecular Detection

Signal uniformity is crucial for reliable and quantifiable surface-enhanced Raman scattering (SERS) measurements. However, challenges arise due to the continuous impact of localized hottest spots and the coffee ring effect on signal uniformity. In response to this, we developed a platform featuring a hierarchical structure with Ag nanopores and microbowls (HANM) and incorporated superhydrophobic/superhydrophilic (SHB/SHL) treatments. This design enhances the hottest spot area, ensuring a strong and consistent electromagnetic field while mitigating the coffee ring effect, which leads to an even analyte distribution. This was demonstrated by analyzing rhodamine 6G (R6G, 4 μL, 10<sup>-9</sup> M to 10<sup>-12</sup> M) molecules at different concentrations. The 2D mapping of the SERS signal intensities from the entire dried droplet exhibited excellent uniformity. The relative standard deviation of the intensities from 200 randomly selected points was calculated to be just 3.81%, laying the foundation for the quantitative detection capability. Additionally, through bisphenol A (BPA) detection in water samples collected from five different locations, the HANM-SHB/SHL structure consistently detected BPA with a uniform signal intensity across all water samples. In conclusion, we proposed a dual-function SERS platform featuring an improved hottest spot region and the ability to avoid the coffee ring effect, offering precise and reliable molecular analysis.

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Publication Details

Journal
Analytical Chemistry
Published
2024-12-18
DOI
https://doi.org/10.1021/acs.analchem.4c05301
Citations
6
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.71

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article

Advanced SERS Platform for Uniform and Reliable Molecular Detection

Baoyuan Man, Ping‐Heng Tan, Jing Yu, Tiying Zhu et al.
6 citations
Analytical Chemistry
Gold and Silver Nanoparticles Synthesis and Applications
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article

Advanced SERS Platform for Uniform and Reliable Molecular Detection

Baoyuan Man, Ping‐Heng Tan, Jing Yu, Tiying Zhu, Xiaofei Zhao, Zhen Li, Chao Zhang, Zhiyang Pei
article en
6 citations

Abstract

Signal uniformity is crucial for reliable and quantifiable surface-enhanced Raman scattering (SERS) measurements. However, challenges arise due to the continuous impact of localized hottest spots and the coffee ring effect on signal uniformity. In response to this, we developed a platform featuring a hierarchical structure with Ag nanopores and microbowls (HANM) and incorporated superhydrophobic/superhydrophilic (SHB/SHL) treatments. This design enhances the hottest spot area, ensuring a strong and consistent electromagnetic field while mitigating the coffee ring effect, which leads to an even analyte distribution. This was demonstrated by analyzing rhodamine 6G (R6G, 4 μL, 10<sup>-9</sup> M to 10<sup>-12</sup> M) molecules at different concentrations. The 2D mapping of the SERS signal intensities from the entire dried droplet exhibited excellent uniformity. The relative standard deviation of the intensities from 200 randomly selected points was calculated to be just 3.81%, laying the foundation for the quantitative detection capability. Additionally, through bisphenol A (BPA) detection in water samples collected from five different locations, the HANM-SHB/SHL structure consistently detected BPA with a uniform signal intensity across all water samples. In conclusion, we proposed a dual-function SERS platform featuring an improved hottest spot region and the ability to avoid the coffee ring effect, offering precise and reliable molecular analysis.

Analytical ChemistryVol. 96(52)
Chinese Academy of Sciences (CN), Shandong Normal University (CN), Beijing University of Technology (CN), Institute of Semiconductors (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Taishan Scholar Project of Shandong Province
Openalex Percentile: Top 34%
Gold and Silver Nanoparticles Synthesis and Applications
0.71
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