Jingjie Huang , Ao Lin , Yani Gu , Xiaole Pan , XinXin Ma , Yanzhe Qing , Jiancheng Li
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引用次数: 0
Abstract
Monensin is widely used in livestock and poultry for disease prevention and growth promotion. Still, its improper use can lead to residues in animal-derived foods, posing risks to human health. In immunoassays, monoclonal antibodies (mAbs) remain a preferred choice due to their high sensitivity and specificity. However, traditional hybridoma technology often suffers from a lengthy screening cycle and the risk of losing effective clones. To address these limitations, this study employed fluorescently labeled monensin antigens combined with fluorescence-activated cell sorting (FACS) for rapid screening of hybridoma cells secreting anti-monensin mAbs. Compared to the conventional limiting dilution method, this approach increased the yield of specific hybridoma cells by tenfold and reduced the screening cycle from four weeks to one week. Based on the selected mAb (4E6), a rapid visual lateral flow immunoassay (LFIA) was developed for on-site detection of monensin, with a total detection time of 10 min. The assay exhibited a half-maximal inhibitory concentration (IC50) of 2.32 μg/kg and a linear detection range of 0.32–10.3 μg/kg. This study provides a promising strategy for efficient hybridoma cell screening and practical monitoring of monensin residues in environmental and food samples.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.