Issue 2, 2025

Aptasensor based on entropy-driven catalytic amplification system for the sensitive detection of acetamiprid in Chinese herbal medicine

Abstract

The traditional method of acetamiprid residue detection is difficult to operate, time-consuming, laborious and requires high professional knowledge of the detection personnel, which cannot meet the requirement of on-field rapid detection. For this reason, a colorimetric aptasensor based on an entropy-catalyzed amplification system was developed for the ultrasensitive and selective determination of acetamiprid. In the absence of acetamiprid, the aptamer and cDNA form a double-stranded structure. The formed hemin/G-quadruplex mimicking DNAzyme can catalyze the substrate ABTS to generate the colored ion ABTS with the help of H2O2, and the solution turns blue-green. On the contrary, the presence of acetamiprid triggers the release of cDNA, which in turn initiates the entropy-driven system, resulting in the inability to form DNAzyme and therefore no blue-green color production in the solution. The quantity of acetamiprid determines the color. Under the optimal experimental conditions, the method showed a linear correlation (R2 = 0.9837) for the detection of acetamiprid in the concentration range of 0.1–100 ng/mL, with a limit of detection of 0.06 ng/mL. The developed method was used for the determination of acetamiprid in spiked Coix lacryma and Bitter almond, with recoveries in the range of 90.3–110.3%. The proposed enzyme-free and label-free assay can be developed into a simple, sensitive and rapid detection platform.

Graphical abstract: Aptasensor based on entropy-driven catalytic amplification system for the sensitive detection of acetamiprid in Chinese herbal medicine

Supplementary files

Article information

Article type
Paper
Submitted
07 Sep 2024
Accepted
15 Nov 2024
First published
15 Nov 2024

Anal. Methods, 2025,17, 223-231

Aptasensor based on entropy-driven catalytic amplification system for the sensitive detection of acetamiprid in Chinese herbal medicine

N. Qin, S. Yang, R. Li, H. Zhan, L. Wang, F. Li and J. Liu, Anal. Methods, 2025, 17, 223 DOI: 10.1039/D4AY01655F

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