4.6 Article

Fabrication of an AAO-based surface-enhanced Raman scattering substrate for the identification of levofloxacin in milk

Journal

NEW JOURNAL OF CHEMISTRY
Volume 45, Issue 17, Pages 7571-7577

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1nj00642h

Keywords

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Funding

  1. National Natural Science Foundation of China [31871873]
  2. Inner Mongolia Autonomous Region Natural Science Foundation of China [2018LH08055]

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By adjusting the pH value, silver nanoparticles of different sizes were successfully prepared and assembled into aluminum oxide holes using interface self-assembly technology to create a SERS substrate with high sensitivity and excellent signal repeatability. The SERS detection of levofloxacin in dairy products showed great reliability, making this method suitable for on-site measurement of antibiotics in food.
In the process of preparing a solid surface-enhanced Raman scattering (SERS) substrate, there is a need to devise a simple and efficient method that will ensure an even distribution of nanoparticles (NPs) on the surface of the solid substrate. In this study, silver NP (Ag NP) colloids, with different particle sizes, were prepared by adjusting the pH value, and anodized aluminium oxide (AAO) was used as a template to assemble Ag NPs into AAO holes using interface self-assembly technology. Due to the limiting effect of the AAO template, the distribution of Ag NPs on the substrate was uniform. With 4-mercaptobenzoic acid (4-MBA) as a probe, the sensitivity of this SERS substrate was evaluated, with an analysis enhancement factor (AEF) of up to 1.17 x 10(6). In addition, the signal repeatability of this SERS substrate was excellent, with a relative standard deviation (RSD) of 6.45%, and the SERS signal was basically consistent within a period of 30 days. Furthermore, the SERS identification of levofloxacin in milk was demonstrated, with a minimum detection limit of 1.88 x 10(-6) M. Additionally, within the concentration range of 1 x 10(-6) to 2 x 10(-5) M, the levofloxacin concentration had a linear relationship with its SERS intensity, with a linear correlation coefficient as high as 0.986. The recovery rate was estimated to be between 97.61% and 107.58%, indicating the reliability of this SERS method. This simple and rapid approach is expected to be applied for the on-site measurement of antibiotics in food.

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