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A novel sensitive aptamer-based nanosensor using rGQDs and MWCNTs for rapid detection of diazinon pesticide

Fooladi Talari, F ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.jece.2020.104878
  3. Publisher: Elsevier Ltd , 2021
  4. Abstract:
  5. An optical apta-nanosensor was designed and developed based on reduced graphene quantum dots (rGQDs) and multi-walled carbon nanotubes (MWCNTs) and applied for the selective detection of diazinon as one of the most widely used organophosphorus pesticides. Considering the GQDs and rGQDs high fluorescence emission and optical stability, efficient optical transducers could be designed and precise detection methods could be developed based on such transducers. Herein, by using rGQDs, diazinon specific aptamer, and MWCNTs, a simple economical fluorescence method has been introduced to detect and measure diazinon with the detection limit of 0.4 nM (0.1 μg/L) in the range of 4-31 nM, meeting the specifications and standards set by the European Union and World Health Organization. To assess apta-nanosensor performance, the real application of the novel apta-nanosensor was then validated by detecting and quantifying diazinon in real samples, including tap water, urine, river water, and agricultural runoff water. The obtained results revealed that, due to the lack of binding affinity for the diazinon specific aptamer, the emission recoveries were kept intact in the presence of other pesticides and thereby, the designed apta-nanosensor was able to promptly detect diazinon pesticide with high accuracy and selectivity in real samples. Accordingly, the accurate apta-nanosensor developed in this study provides a sensitive, inexpensive, fast, and portable device for selective detection of diazinon over other pesticides in contaminated regions. The introduced innovative method could also be applied for other pesticides, providing a practical on-site detection approach for real samples of multi pesticides. © 2021 Elsevier Ltd. All rights reserved
  6. Keywords:
  7. Agricultural robots ; Agricultural runoff ; Binding energy ; Fluorescence ; Graphene quantum dots ; Nanosensors ; Pesticides ; Semiconductor quantum dots ; Transducers ; Binding affinities ; Emission recoveries ; Fluorescence emission ; Fluorescence method ; Optical transducers ; Organophos-phorus pesticides ; Selective detection ; World Health Organization ; Multiwalled carbon nanotubes (MWCN)
  8. Source: Journal of Environmental Chemical Engineering ; Volume 9, Issue 1 , 2021 ; 22133437 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S2213343720312276