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Novel immunochromatographic strip assay based on up-conversion nanoparticles for sensitive detection of imidacloprid in agricultural and environmental samples

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Abstract

Neonicotinoid insecticides are widely used in agriculture for pest control, but the pesticide residues in environmental and agricultural products were a big threat to the health of non-target organisms. In this study, a new immunochromatographic strip test was established for the rapid detection of imidacloprid residue, a neonicotinoid insecticide, based on up-conversion nanoparticles (UCNPs) coupled with the monoclonal antibody against imidacloprid. Under optimal conditions, the half inhibitory concentration (IC50), detection limit, and the linear range of this strip were 8.37 ng/mL, 0.45 ng/mL, and 0.97–250 ng/mL. The strip test could be completed in 30 min. The average recoveries of imidacloprid spiked in water, Chinese cabbages, cucumber, honey, and tea samples were 70.1~101.8%, with coefficient of variations less than 18.9%. The strip was used to test real samples and verified by UPLC-MS/MS method with the good agreement (R2 was 0.9825), indicating this novel strip immunoassay is accurate and reliable.

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All data generated or analyzed during this study are included in this published article and its supplementary information files.

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Funding

This study was financially supported by the Key Research and Development Program in Zhejiang Province (2020C02024-2) and National Key Research and Development Program of China (2018YFF0215205).

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Investigation, methodology: Xinying Lu, Yang Chen; formal analysis and investigation: Rubing Zou, FangFang Si; writing—original draft preparation: Xinying Lu; funding acquisition: Mingzhou Zhang; resources: Ying Zhao, Guonian zhu; supervision, conceptualization, writing—review and editing: Yirong Guo

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Correspondence to Yirong Guo.

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Lu, X., Chen, Y., Zou, R. et al. Novel immunochromatographic strip assay based on up-conversion nanoparticles for sensitive detection of imidacloprid in agricultural and environmental samples. Environ Sci Pollut Res 28, 49268–49277 (2021). https://doi.org/10.1007/s11356-021-14143-7

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