A Facile, Sensitive and Rapid Sensing Platform Based on CoZnO for Detection of Fipronil; an Environmental Toxin
Kumar, Sanni and Vasylieva, Natalia and Singh, Vikrant and Hammock, Bruce and Singh, Shiv Govind (2020) A Facile, Sensitive and Rapid Sensing Platform Based on CoZnO for Detection of Fipronil; an Environmental Toxin. Electroanalysis, 32 (9). pp. 2056-2064. ISSN 1040-0397
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A sensitive detection of extremely toxic phenylpyrazole insecticide, ‘Fipronil’ is presented. Currently, the advancement of approaches for the detection of insecticides at low concentrations with less time is important for environmental safety assurance. Considering this fact, an effort has been made to develop an electrospun CoZnO nanofiber (NF) based label-free electrochemical system for the detection of fipronil. The CoZnO NF were characterized using different techniques including field emission scanning electron microscopy (FE-SEM), Energy Dispersive X-Ray Analysis (EDX), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and Raman Spectroscopy. Based on the experimental results, the proposed platform displayed a linear response for fipronil in the attogram/mL range despite the multiple interfering agents. The sensitivity of the device was found to be 3.99 KΩ (g/ml)−1 cm−2. Limit of detection (LOD) and limit of quantification (LOQ) were calculated and found to be 112 ag mL−1 and 340 ag mL−1 respectively. Further, this proposed sensor will be implemented in the fields for the rapid and proficient detection of the real samples.
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Item Type: | Article | ||||||||||||
Uncontrolled Keywords: | Biosensors, Insecticides, Nanofibers | ||||||||||||
Subjects: | Electrical Engineering Electrical Engineering > Wireless Communication Electrical Engineering > Process Control Electrical Engineering > Power System Electrical Engineering > Automation & Control Systems Electrical Engineering > Electrical and Electronic Electrical Engineering > Instruments and Instrumentation |
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Divisions: | Department of Electrical Engineering | ||||||||||||
Depositing User: | . LibTrainee 2021 | ||||||||||||
Date Deposited: | 27 Jul 2022 06:14 | ||||||||||||
Last Modified: | 27 Jul 2022 06:14 | ||||||||||||
URI: | http://raiithold.iith.ac.in/id/eprint/7814 | ||||||||||||
Publisher URL: | http://doi.org/10.1002/elan.202000051 | ||||||||||||
OA policy: | https://v2.sherpa.ac.uk/id/publication/1681 | ||||||||||||
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