Related Experiment Video
Updated: Jul 24, 2025

Author Spotlight: High-Quality Quantum Dot Nanobeads for Sensitive Fluorescent Lateral Flow Immunoassays
Published on: June 28, 2024
Development of a gold nanoparticle-based lateral flow immunoassay for the fast detection of diafenthiuron in cabbage
Yunhui Chen1, Hongyu Zhang1, Hongliu Ding2
1International Joint Research Laboratory for Biointerface and Biodetection, School, of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China. gling0329@jiangnan.edu.cn.
Abstract:
Due to its unique insecticidal and acaricidal mechanism of action, and ability to mix with most insecticides and fungicides, diafenthiuron (DIAF) is widely used in the cultivation of fruits and vegetables. However, this insecticide can cause unacceptable harm to organisms, making the detection of DIAF residues in fruits and vegetables crucial. In this study, a novel hapten based on the structure of DIAF was utilized to prepare a monoclonal antibody (mAb) with high specificity and sensitivity. The half maximum inhibitory concentration (IC50) of the anti-DIAF mAb was 20.96 μg kg-1 as determined by ic-ELISA and little cross-reactivity with other analogues. Next, a GNP-based lateral flow immunoassay (LFIA) was developed to detect DIAF in cabbages and apples. The optimized LFIA, for cabbage samples, showed a visual limit of detection (vLOD), cut-off value and calculated limit of detection (cLOD) of 0.1 mg kg-1, 10 mg kg-1 and 1.5 μg kg-1, respectively, and for apples 0.1 mg kg-1, 5 mg kg-1 and 3.4 μg kg-1, respectively. Recovery rates in cabbage and apples were 89.4-105.0% and 105.3-112.0%, with a coefficient of variation of 2.73-5.71% and 2.15-7.56%, respectively. These results indicated that the established LFIA based on our anti-DIAF mAb was a reliable method for in situ rapid detection of DIAF in cabbage and apple samples.
More Related Videos
10:10Development of a Lateral Flow Immunochromatographic Strip for Rapid and Quantitative Detection of Small Molecule Compounds
Published on: November 13, 2021
06:00Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
Published on: January 26, 2024