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Design of a Colorimetric Sensor Array Based on Aggregation of Plasmonic Nanoparticles for Detection and discrimination of Phosalone, Thiometon and Prothioconazole Pesticides

Koushkestani, Marjan | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53496 (03)
  4. University: Sharif University of Technology
  5. Department: Materials Science and Engineering
  6. Advisor(s): Hormozi Nezhad, Mohammad Reza; Ghasemi, Forough
  7. Abstract:
  8. The use of myriad pesticides in agriculture crops has promoted the demand of developing rapid and sensitive probes for the detection and discrimination of diverse pesticides, which are usually used together. In this work, a colorimetric sensor array has been designed for identification and discrimination of Thiometon (TM) and Phosalone (PS) as organophosphate pesticides and Prothioconazole (PC) as a triazole pesticide. For this purpose, two different plasmonic nanoparticles including unmodified gold nanoparticles (AuNPs) and unmodified silver nanoparticles (AgNPs) were used as sensing elements. The principle of the proposed strategy relied on the aggregation of AuNPs and AgNPs through the cross-reactive interaction between the target pesticides and plasmonic NPs. Therefore, these aggregation-induced UV-Vis spectra changes were utilized to discriminate the target pesticides with the help of linear discriminant analysis (LDA). Besides, we have employed the bar plots and the heat maps as visual non-statistical methods to differentiate the pesticides in a wide range of concentrations (i.e., 20 to 5000 ng mL-1 ) with a limit of recognition (LOR) as low as 20 ng mL-1 . Finally, the potential applicability of the proposed sensor array has been evaluated for the detection and identification of the pesticides in the mixtures and cucumber fruit
  9. Keywords:
  10. Phosalone Pesticide (PS) ; Pesticide ; Colorimetric Sensor Array ; Plasmonic Nanoparticles ; Linear Discriminant Analysis ; Thio-Organophosphate Pesticide ; Pesticides Identification

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