Fabrication of methyl parathion electrochemical sensor based on β-cyclodextrin decorated single-wall carbon nanotubes

ABSTRACT

Herein, an efficient and sensitive methyl parathion (MP) electrochemical sensor was fabricated by using β-cyclodextrin (β-CD) decorated single-wall carbon nanotubes (SCN), which were used to modify the glassy carbon electrode (GCE). The β-CD@SCN/GCE sensor achieved the sensitive MP detection. For the obtained β-CD@SCN nanocomposite, SCN could form three-dimensional reinforced carbon conductive network with good conductivity property and efficient charge transport channels; β-CD could promote the dispersion of carbon materials and boost the accumulation capability of MP on the surface of β-CD@SCN/GCE. The combination of β-CD and SCN significantly optimized the electrochemical property of β-CD@SCN/GCE sensor for the detection of MP. The β-CD@SCN/GCE sensor exhibited good MP electrochemical detection performance with low limit of detection of 7.23 nM. When used for the detection of MP in grape juice, the β-CD@SCN/GCE sensor exhibited good MP electrochemical sensing analysis performance with satisfactory recovery rates (96.54–98.18%) and relative standard deviation values (1.60–2.07%).

KEYWORDS:

• Electrochemical sensing analysis
• methyl parathion
• conductive carbon
• composite
• synergistic effect
• β-cyclodextrin

Acknowledgments

This work was supported by the Research Project of Science and Technology of Henan Province (No. 232102110267), Postdoctoral Research Project of Henan Province (No. 202102098), High-Level Talents Introduction Project of Henan Institute of Science and Technology (No. 203010617006).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was financially supported by the Natural Science Foundation of Henan Province (No. 202300410163), High-Level Talents Introduction Project of Henan Institute of Science and Technology (No. 203010617011), and University Students’ Innovation and Pioneering Project (No. 202210467017).