A sensitive electrochemical sensor for nitenpyram detection based on CeO2/MWCNTs nanocomposite
Neonicotinoid insecticides are widely applied to improve the quality and yield of the crop. A sensitive and highly selective electrochemical sensor is required for monitoring their residues. In this paper, nano-structured cerium oxide and multiwall carbon nanotube composite (MWCNTs) were successfull...
Saved in:
Published in | Applied physics. A, Materials science & processing Vol. 128; no. 9 |
---|---|
Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.09.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Neonicotinoid insecticides are widely applied to improve the quality and yield of the crop. A sensitive and highly selective electrochemical sensor is required for monitoring their residues. In this paper, nano-structured cerium oxide and multiwall carbon nanotube composite (MWCNTs) were successfully constructed as an electrochemical sensor for nitenpyram (NIT) determination. The developed sensor has a broad linear range from 2 to 180 μM and a low detection limit of 0.72 μM (S/N = 3) for NIT detection under the optimal ratio of 1:1 between CeO
2
and MWCNTs. The electrochemical oxidation process of NIT involves one proton and two electron. Moreover, this developed sensor has excellent reproducibility with a relative standard deviation (RSD) of 3.1% in six replicated measurements, and excellent stability with 92.95% current retention after 15 days. In addition, the modified electrode has a good sensitivity and stability for the measurement of NIT in actual samples, it has the recovery ranges of 90.60–97.78% for the determination of NIT in corn extraction and 90.06–114.4% for that of NIT in river water. The proposed CeO
2
/MWCNTs sensor exhibits a great potential for the quick detection of neonicotinoid insecticides in the agricultural industry. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0947-8396 1432-0630 |
DOI: | 10.1007/s00339-022-05952-9 |