4.7 Article

Surface-enhanced Raman spectroscopy aptasensor for simultaneous determination of ochratoxin A and zearalenone using Au@Ag core-shell nanoparticles and gold nanorods

Journal

MICROCHIMICA ACTA
Volume 188, Issue 8, Pages -

Publisher

SPRINGER WIEN
DOI: 10.1007/s00604-021-04919-6

Keywords

Mycotoxin; Ochratoxin A; Surface-enhanced Raman scattering; Zearalenone; Core-shell nanoparticles

Funding

  1. National Key Research and Development Program of China [2018YFC1603500]
  2. Guangdong Key Research and Development Program [2019B020211001]

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The study describes the design and fabrication of a SERS aptasensor for simultaneous detection of ZEN and OTA in wheat and corn samples, achieving good detection performance with a wide linear range and low detection limits.
The design and fabrication of a surface-enhanced Raman scattering (SERS) aptasensor for simultaneous detection of zearalenone (ZEN) and ochratoxin A (OTA) in wheat and corn samples is described. The capture and reporter probes were SH-cDNA-modified gold nanorods and SH-Apt-modified Au@Ag core-shell nanoparticles, respectively. After recognizing OTA and ZEN aptamers and complementary strands (SH-cDNA), the reporter probe generated a strong SERS signal. The preferred binding of OTA and ZEN aptamers to OTA and ZEN, respectively, caused reporter probes to release the capture probes, resulting in a linear decrease in SERS intensity. The detection of OTA showed good linearity with an R-2 value of 0.986, which could be maintained across a wide concentration range (0.01 to 100 ng/mL), with the limit of detection of 0.018 ng/mL. For detection of ZEN. good linearity with an R-2 value of 0.987 could be maintained across a wide concentration range (0.05 to 500 ng/mL), with 0.054 ng/mL as the limit of detection. Good accuracy (relative standard deviation < 4.2%) during mycotoxin determination as well as excellent quantitative recoveries (96.0-110.7%) during the analysis of spiked real samples was achieved. The proposed SERS aptasensor exhibited excellent performance in the detection of OTA and ZEN in real food samples. Hence, by simply changing the aptamer, this new model can be applied to the detection of multiple mycotoxins in the food industry.

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