4.8 Article

A New Approach for Quantitative Surface-Enhanced Raman Spectroscopy through the Kinetics of Chemisorption

Journal

SMALL METHODS
Volume 5, Issue 3, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smtd.202000993

Keywords

adenine; adsorption equilibrium time; melamine; surfaced enhanced Raman spectroscopy

Funding

  1. National Natural Science Foundation of China [21925404, 21775127, 21991151, 21902137]
  2. National Key Research and Development Program of China [2019YFA0705400, 2019YFD0901100]
  3. Science and Technology Planning Project of Fujian Province [2019Y4001]

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This study introduces a novel quantitative SERS analysis method that does not require internal standards or well-ordered nanostructured SERS substrates. By utilizing chemisorption kinetics for quantitative analysis, promising results were obtained.
Surface enhanced Raman spectroscopy (SERS) is a non-destructive, highly sensitive, and rapid analytical tool, which has been widely used in different fields, especially for trace quantities of analyte. However, using SERS for reliable quantitative sample analysis is still a great challenge. Herein, a new approach to quantitative SERS analysis at nanostructured substrates that does not require an internal standard or well-ordered nanostructured SERS substrates is developed. This method is based on the kinetics of chemisorption, that is, on a homogeneous surface, the time taken for adsorption of an adsorbate (adenine or melamine) to reach equilibrium negatively correlates with the concentration of the adsorbate. Quantitative analysis is achieved by using in situ SERS to acquire the adsorption profile of the adsorbate and enabling the adsorption equilibrium time to be calculated. There is excellent correlation between the adenine and melamine SERS response over adsorption equilibrium time with concentration, and the correlation coefficients are 0.9906 and 0.9682, respectively. Moreover, milk sample spiked with the melamine is also studied, and the standard recovery rate is 106%. This work demonstrates a novel, non-destructive, and cost-effective quantitative SERS detection technique, which can broaden applications across multiple fields.

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