Ultrasensitive SERS Detection of Five β-Blockers Achieved Using Chemometrics with a Two-Dimensional Substrate Formed by Large-Sized Ag@SiO<sub>2</sub> Nanoparticles

We report on a surface-enhanced Raman scattering (SERS) platform for the detection of five beta-blockers (β-blockers): atenolol, esmolol, labetalol, sotalol, and propranolol. Key to this platform was a two-dimensional substrate formed by self-assembling large Ag@SiO<sub>2</sub> nanoparticles (Ag@SiO<sub>2</sub> NPs) on a silicon wafer. The close arrangement of these large nanoparticles on the surface generated a strong and uniform electromagnetic field, which enhanced SERS signal intensity for the detection of small amounts of the target molecules. The intensities of characteristic peaks of the five β-blocker drugs increased linearly with the increase of their concentrations in the range of 10<sup>-5</sup> to 10<sup>-8</sup> mol/L. The detection limits were 10<sup>-10</sup> mol/L for propranolol, 10<sup>-9</sup> mol/L for atenolol, labetalol, and sotalol, and 10<sup>-8</sup> mol/L for esmolol. Determination of these five β-blocker drugs added to human urine samples, using a portable Raman spectroscopy instrument, showed quantitative recovery (93-101%). Principal component analysis (PCA) and hierarchical cluster analysis (HCA) of SERS spectral data improved the differentiation among these five β-blockers. This study highlights the potential of the developed SERS platform for rapid, on-site detection of illicit drugs and for antidoping screening.

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Publication Details

Journal
Analytical Chemistry
Published
2024-10-03
DOI
https://doi.org/10.1021/acs.analchem.4c03793
Citations
4
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.47

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article

Ultrasensitive SERS Detection of Five β-Blockers Achieved Using Chemometrics with a Two-Dimensional Substrate Formed by Large-Sized Ag@SiO2 Nanoparticles

Yuning Jiang, Yiping Wu, Haifeng Yang, Ying Wen et al.
4 citations
Analytical Chemistry
Gold and Silver Nanoparticles Synthesis and Applications
0.47
article

Ultrasensitive SERS Detection of Five β-Blockers Achieved Using Chemometrics with a Two-Dimensional Substrate Formed by Large-Sized Ag@SiO2 Nanoparticles

Yuning Jiang, Yiping Wu, Haifeng Yang, Ying Wen, Tianrun Wang, Tao Cheng, Xinling Liu, Xiaoyu Guo, Ziyue Xie
article en
4 citations

Abstract

We report on a surface-enhanced Raman scattering (SERS) platform for the detection of five beta-blockers (β-blockers): atenolol, esmolol, labetalol, sotalol, and propranolol. Key to this platform was a two-dimensional substrate formed by self-assembling large Ag@SiO<sub>2</sub> nanoparticles (Ag@SiO<sub>2</sub> NPs) on a silicon wafer. The close arrangement of these large nanoparticles on the surface generated a strong and uniform electromagnetic field, which enhanced SERS signal intensity for the detection of small amounts of the target molecules. The intensities of characteristic peaks of the five β-blocker drugs increased linearly with the increase of their concentrations in the range of 10<sup>-5</sup> to 10<sup>-8</sup> mol/L. The detection limits were 10<sup>-10</sup> mol/L for propranolol, 10<sup>-9</sup> mol/L for atenolol, labetalol, and sotalol, and 10<sup>-8</sup> mol/L for esmolol. Determination of these five β-blocker drugs added to human urine samples, using a portable Raman spectroscopy instrument, showed quantitative recovery (93-101%). Principal component analysis (PCA) and hierarchical cluster analysis (HCA) of SERS spectral data improved the differentiation among these five β-blockers. This study highlights the potential of the developed SERS platform for rapid, on-site detection of illicit drugs and for antidoping screening.

Analytical ChemistryVol. 96(41)
Shanghai Normal University (CN)
National Natural Science Foundation of China, Shanghai Normal University, Shanghai Municipal People's Government, Shanghai Key Laboratory of Rare Earth Functional Materials
Openalex Percentile: Top 45%
Gold and Silver Nanoparticles Synthesis and Applications
0.47
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