Fabrication of electrospun polycaprolactone/chitosan nanofiber-modified screen-printed electrode for highly sensitive detection of diazinon in food analysis. (January 2022)

• Record Type: Journal Article
• Authors: Topsoy, Oğuz Kağan; Muhammad, Fakhriy; Kolak, Seda; Ulu, Ahmet; Güngör, Öznur; Şimşek, Murat; Köytepe, Süleyman; Ateş, Burhan
• Is Part Of: Measurement. Volume 187(2022)
• Publication Date: 2022-01
• Subjects: Diazinon -- Electrochemical sensor -- Screen-printed electrode -- Electrospun -- Nanofiber; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2021.110250
• Languages: English
• ISSNs: 0263-2241

Abstract

Graphical abstract: Highlights: PCL/CHS modified screen-printed electrode was developed and used to detection Diazinon. The developed sensor has low detection limit (2.888 nM) and a wide range of detection between 3 nM and 100 nM. The developed sensor displayed high reproducibility, good repeatability, and long storage life. The sensor response was tested in a real sample (tomato juice) and obtained well recovery values. Abstract: In the present study, a screen-printed electrode for Diazinon (DZN) detection was modified with nanofibers prepared via electrospinning technique. The chemical structure, morphology, and crystallinity of the nanofibers were characterized in detail. The electrochemical behaviors of the modified screen-printed electrode were evaluated by cyclic voltammetry, differential pulse voltammetry, and electrochemical impedance spectroscopy. The spinning time, pH value and scan rates were optimized at 6 min, 5.25, and 50 mVs −1, respectively. The limit of detection as 2.888 nM was obtained over a linear concentration range (3 nM–100 nM). Besides, DZN selectivity, repeatability, and storage stabilities of the developed sensor were proven. Meanwhile, the sensor was successfully applied for the determination of DZN in the tomato juice sample with recovery values in the range of 93.27–108.30%. The developed sensor could be a promising candidate to detect the presence and level of DZN in real samples.