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Gold-nanoparticle-based colorimetric sensor array for discrimination of organophosphate pesticides

Fahimi Kashani, N ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1021/acs.analchem.6b01616
  3. Publisher: American Chemical Society
  4. Abstract:
  5. There is a growing interest in developing high-performance sensors monitoring organophosphate pesticides, primarily due to their broad usage and harmful effects on mammals. In the present study, a colorimetric sensor array consisting of citrate-capped 13 nm gold nanoparticles (AuNPs) has been proposed for the detection and discrimination of several organophosphate pesticides (OPs). The aggregation-induced spectral changes of AuNPs upon OP addition has been analyzed with pattern recognition techniques, including hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA). In addition, the proposed sensor array has the capability to identify individual OPs or mixtures of them in real samples
  6. Keywords:
  7. Cluster analysis ; Colorimetry ; Discriminant analysis ; Gold ; Hierarchical systems ; Metal nanoparticles ; Nanoparticles ; Pattern recognition ; Colorimetric sensor arrays ; Detection and discriminations ; Gold Nanoparticles ; Hierarchical cluster analysis ; High performance sensors ; Linear discriminant analysis ; Organophosphate pesticides ; Pattern recognition techniques ; Pesticides
  8. Source: Analytical Chemistry ; Volume 88, Issue 16 , 2016 , Pages 8099-8106 ; 00032700 (ISSN)
  9. URL: http://pubs.acs.org/doi/abs/10.1021/acs.analchem.6b01616