Ultrasensitive immunochromatographic strip for the detection of cyhalothrin in foods

Literature Information

Publication Date 2021-05-17
DOI 10.1039/D1AY00609F
Impact Factor 2.896
Authors

Lu Lin, Shanshan Song, Xiaoling Wu, Liqiang Liu, Hua Kuang, Chuanlai Xu


View Original

Abstract

In this study, a highly specific and sensitive monoclonal antibody (mAb) against lambda-cyhalothrin (LCT) was prepared. The half maximal inhibitory concentration (IC50) in the ic-ELISA was 1.2 ng mL−1 and the limit of detection (LOD) value was 0.2 ng mL−1. Based on the mAb, an immunochromatographic strip (ICS) was developed to qualitatively and quantitatively detect LCT in cabbage, parsley, spinach, and green tea samples. The results from the qualitative test can be observed with the naked eye within 10 min, and from quantitative detection experiments the linear detection ranges for cabbage, parsley, spinach, and green tea samples were 2.3–122.0, 1.5–98.2, 2.1–145.5, and 6.6–129.7 ng g−1, respectively. Furthermore, recovery experiments were carried out at three spiked concentrations of LCT (5, 20, and 80 ng g−1), and the recoveries of the ICS in vegetable samples ranged from 81.2% to 96.7%, with a coefficient of variation (CV) of less than 8.1%. For green tea, the recoveries of the ICS were from 80.4% to 90.7%, with a CV of less than 8.7%. The ICS assay established in this study can be used for the qualitative and quantitative determination of LCT residues in foods and agricultural products.

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Inside front cover

Front/Back Matter

DOI: 10.1039/C0CP90148B

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Analytical Methods

Analytical Methods
CiteScore: 5.1
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Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating the potential for societal impact. We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples. We encourage developments within, but not limited to, the following technologies and applications: global health, point-of-care and molecular diagnostics biosensors and bioengineering drug development and pharmaceutical analysis applied microfluidics and nanotechnology omics studies, such as proteomics, metabolomics or glycomics environmental, agricultural and food science neuroscience biochemical and clinical analysis forensic analysis industrial process and method development

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