Abstract
Understanding the spatial distribution of bioactive small molecules is indispensable for elucidating their biological or pharmaceutical roles. Here, a rapid and effective analysis strategy was introduced to study the distribution of veterinary drugs in aquatic products. Malachite green (MG), one of the most widely used veterinary drugs in aquaculture, was selected as the targeted compound. Zebrafish (Danio rerio) was used as a model organism. After an exposure test, the matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) technique was applied to directly analyze the content changes of malachite green in zebrafish tissues. The reliable relationship of exposure time and content change of MG was described precisely by the extended Freundlich equation. The process of modeling was discussed in detail, and some important parameters or trend information was obtained, including the maximum content of MG in different fish tissues, time to maximum content, elimination time, equilibrium content, and so on. With a simplification of sample pretreatment, this research strategy can be used for monitoring the spatial distribution of veterinary drugs and related metabolites of laboratory-exposed fish. The obtained model can provide a perspective for rational drug use in aquaculture and precise drug residue detection in production activities.
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Acknowledgements
This research was supported by the National Key Research and Development Program of China (No. 2018YFC1603500), the National “Ten thousand Plan” Scientific and Technological Innovation Leading Talent Project (Feng Zhang), and the Shandong Provincial Key Research and Development Program (SPKR&DP) (No. 2019JZZY020903). The authors would like to acknowledge Prof. Wei Yong and Dr. Shige Xing for their support and suggestions.
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He, M., Wang, X., Bian, Y. et al. Modeling the distribution of malachite green in zebrafish using matrix-assisted laser desorption/ionization mass spectrometry imaging. Anal Bioanal Chem 413, 7021–7030 (2021). https://doi.org/10.1007/s00216-021-03664-2
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DOI: https://doi.org/10.1007/s00216-021-03664-2