4.6 Article

A Label-Free Immunosensor Based on Gold Nanoparticles/Thionine for Sensitive Detection of PAT Protein in Genetically Modified Crops

Journal

FRONTIERS IN CHEMISTRY
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fchem.2021.770584

Keywords

immunosensor; thionine; gold nanoparticles; label free; genetically modified crops

Funding

  1. Natural Science Foundation of Shanghai [19ZR1436800]
  2. Shanghai Sailing Program [20YF1443000]
  3. Shanghai Agricultural Science and Technology Innovation Action Plan [21N31900800]
  4. Shanghai Science and Technology Commission, the Belt and Road Project [20310750500]
  5. SAAS Project on Agricultural Science and Technology Innovation Supporting Area (SAAS Application Basic Study [2021 (09))]
  6. SAAS Project on Agricultural Science and Technology Innovation Supporting Area (SASS Platform) [2021(08)]
  7. SAAS Program for Excellent Research Team [2017 (B-07), 2022 (B-16)]
  8. [(09)]
  9. [B-07]

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A simple label-free electrochemical immunosensor was developed for ultrasensitive detection of PAT protein in GM crops. The sensor showed high sensitivity, specificity, and satisfactory reproducibility and accuracy, making it a useful tool for trace screening of GM crops containing PAT protein.
Genetically modified (GM) crops containing phosphinothricin acetyltransferase (PAT) protein has been widely planted worldwide. The development of a rapid method for detecting PAT protein is of great importance to food supervision. In this study, a simple label-free electrochemical immunosensor for the ultrasensitive detection of PAT protein was constructed using thionine (Thi)/gold nanoparticles (AuNPs) as signal amplification molecules and electrochemically active substances. Under optimum conditions, the limits of detection of the sensor for soybean A2704-12 and maize BT-176 were 0.02% and 0.03%, respectively. The sensor could detect crops containing PAT protein and had no cross-reaction with other proteins. After storage at 4 degrees C for 33 days, the sensor still retained 82.5% of the original signal, with a relative standard deviation (RSD) of 0.92%. The recoveries of the sensor for soybean A2704-12 and maize BT-176 were 85%-108% and 98%-113%, respectively. The developed PAT-target immunosensor with high sensitivity, specificity, and satisfactory reproducibility and accuracy will be a useful tool in the trace screening of GM crops. Moreover, this design concept can be extended to other proteins by simply changing the antibody.

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