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Development of a colorimetric sensor array based on monometallic and bimetallic nanoparticles for discrimination of triazole fungicides

Kalantari, K ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1007/s00216-021-03272-0
  3. Publisher: Springer Science and Business Media Deutschland GmbH , 2022
  4. Abstract:
  5. Due to the widespread use of pesticides and their harmful effects on humans and wildlife, monitoring their residual amounts in crops is critically essential but still challenging regarding the development of high-throughput approaches. Herein, a colorimetric sensor array has been proposed for discrimination and identification of triazole fungicides using monometallic and bimetallic silver and gold nanoparticles. Aggregation-induced behavior of AgNPs, AuNPs, and Au-AgNPs in the presence of four triazole fungicides produced a fingerprint response pattern for each analyte. Innovative changes to the metal composition of nanoparticles leads to the production of entirely distinct response patterns that can be used for the detection and discrimination of triazoles. Pattern recognition methods, including linear discriminant analysis (LDA) and hierarchical cluster analysis, have been employed for the differentiation of triazoles in the concentration range of 0.1–0.55 μg mL−1. Besides, the sensor array demonstrates promising practicability to satisfactorily distinguished triazole in mixtures and complex media of wheat flour and cucumber samples. The proposed colorimetric sensor array might pave the way towards a cost-effective and rapid, yet sensitive platform for high-throughput monitoring of residual amounts of pesticides for on-site applications. Graphical abstract: [Figure not available: see fulltext.] © 2021, Springer-Verlag GmbH Germany, part of Springer Nature
  6. Keywords:
  7. Aggregation ; Colorimetric ; Sensor array ; Single nanoparticles ; Triazole fungicides ; Color ; Cost effectiveness ; Discriminant analysis ; Fungicides ; Gold nanoparticles ; Hierarchical clustering ; Hierarchical systems ; Metal nanoparticles ; Bimetallic nanoparticles ; Colorimetric sensor arrays ; Concentration ranges ; Detection and discriminations ; High-throughput approaches ; Linear discriminant analysis ; Pattern recognition method ; Silver and gold nanoparticles ; Pattern recognition ; Fungicide ; Metal nanoparticle ; Pesticide ; Triazole derivative ; Human ; Procedures ; Wheat ; Colorimetry ; Flour ; Fungicides, Industrial ; Gold ; Humans ; Pesticides ; Triazoles ; Triticum ; Metal nanoparticles
  8. Source: Analytical and Bioanalytical Chemistry ; Volume 414, Issue 18 , 2022 , Pages 5297-5308 ; 16182642 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s00216-021-03272-0