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Cauliflower-Inspired 3D SERS Substrate for Multiple Mycotoxins Detection.

Jinjie Li1, Heng Yan2, Xuecai Tan3

  • 1State Key Laboratory of Agricultural Microbiology, College of Food Science and Technology, College of Science , Huazhong Agricultural University , Wuhan , Hubei 430070 , People's Republic of China.

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|February 23, 2019
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This summary is machine-generated.

A novel 3D nanocauliflower SERS substrate enhances detection sensitivity for multiple mycotoxins simultaneously. This SERS substrate offers a promising tool for rapid, label-free analysis in food safety applications.

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Spectroscopy

Background:

  • Simultaneous multi-target detection using Surface-Enhanced Raman Spectroscopy (SERS) presents significant analytical challenges.
  • Developing highly sensitive and uniform SERS substrates is crucial for advancing analytical capabilities.

Purpose of the Study:

  • To engineer a novel 3D SERS substrate with enhanced hot spots for improved analytical performance.
  • To demonstrate the substrate's capability for simultaneous, label-free detection of multiple mycotoxins in complex matrices.

Main Methods:

  • Fabrication of a cauliflower-inspired 3D SERS substrate using sputtering gold nanoparticles (Au NPs) onto a polydimethylsiloxane coated anodic aluminum oxide (PDMS@AAO) complex.
  • Optimization of sputtering time to achieve maximum SERS activity.
  • Characterization of substrate performance using 4-mercaptobenzoic acid (4-MBA) for detection limit, uniformity, and enhancement factor.
  • Application of the substrate for simultaneous label-free detection of aflatoxin B1, deoxynivalenol, and zearalenone in maize samples.

Main Results:

  • The optimized 3D-Nanocauliflower SERS substrate exhibited a low detection limit of 10-12 M for 4-MBA, with high enhancement uniformity (RSD = 4.57%) and an enhancement factor of 2.2 × 106.
  • Successfully achieved simultaneous label-free detection of three mycotoxins (aflatoxin B1, deoxynivalenol, zearalenone) in maize for the first time.
  • Demonstrated good linear relationships between analyte concentration and Raman intensity for the detected mycotoxins, with limits of detection (LOD) of 1.8 ng/mL, 47.7 ng/mL, and 24.8 ng/mL, respectively (S/N = 3).

Conclusions:

  • The developed 3D-Nanocauliflower SERS substrate demonstrates superior SERS activity and sensitivity due to its intense hot spots.
  • This substrate offers a viable platform for the rapid and label-free simultaneous detection of multiple mycotoxins in food matrices.
  • The findings highlight the potential of this SERS substrate for practical applications in food safety and quality control.