4.8 Article

Cauliflower-Inspired 3D SERS Substrate for Multiple Mycotoxins Detection

Journal

ANALYTICAL CHEMISTRY
Volume 91, Issue 6, Pages 3885-3892

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.8b04622

Keywords

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Funding

  1. National Natural Science Foundation of China [21778020]
  2. Sci-tech Innovation Foundation of Huazhong Agriculture University [2662017PY042, 2662018PY024]
  3. Hubei Provincial Food and Drug Administration [201601012]
  4. Key Laboratory of Guangxi Colleges and Universities for Food Safety and Pharmaceutical Analytical Chemistry [FPAC2017-ZD-01]

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Surface-enhanced Raman spectroscopy (SERS) is a promising analytical tool, but simultaneous detection of multiple targets using SERS remains a challenge. Herein, a cauliflower-inspired 3D SERS substrate with intense hot spots was prepared through sputtering Au nanoparticles (Au NPs) on the surface of polydimethylsiloxane coated anodic aluminum oxide (PDMS@AAO) complex substrate. As a result, the cauliflower-inspired 3D SERS substrate achieved the highest SERS activities at a sputtering time of 8 min. Under the optimal conditions, this SERS substrate possessed a low detection limit of 10(-12) M, excellent enhancement uniformity (relative standard deviation, RSD = 4.57%) and high enhancement factor (2.2 x 10(6)) for 4-mercaptobenzoic acid (4-MBA). Furthermore, the results of Raman showed that the 3D-Nanocauliflower SERS substrates could realize the simultaneous label-free detection for three mycotoxins (aflatoxin B-1, deoxynivalenol, and zearalenone) in maize for the first time. It behaved good linear relationship between the concentrations and Raman intensities of aflatoxin B-1, zearalenone, and deoxynivalenol. For the three mycotoxins, this method exhibited the limit of detection (LOD) of 1.8, 47.7, and 24.8 ng/mL (S/N = 3), respectively. The 3D-Nanocauliflower SERS substrates with dense hot spots presented remarkable SERS effect and activity, which could be act as a potential candidate for SERS substrate applied in the rapid and label-free detection.

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