Development of a colorimetric sensor array based on monometallic and bimetallic nanoparticles for discrimination of triazole fungicides
| Autor: | M. Reza Hormozi-Nezhada, Kimia Kalantari, Nafiseh Fahimi-Kashani |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Flour
Triazole Metal Nanoparticles Colorimetric sensor array Nanoparticle 02 engineering and technology 01 natural sciences Biochemistry Analytical Chemistry chemistry.chemical_compound Sensor array Humans Pesticides Bimetallic strip Triticum 010401 analytical chemistry Triazoles 021001 nanoscience & nanotechnology Combinatorial chemistry Fungicides Industrial 0104 chemical sciences Fungicide chemistry Colloidal gold Colorimetry Gold 0210 nano-technology |
| Zdroj: | Analytical and Bioanalytical Chemistry. 414:5297-5308 |
| ISSN: | 1618-2650 1618-2642 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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