Computer Simulation-Assisted Preparation and Application of Triadimenol Molecularly Imprinted Polymer

Authors

    Guodong Li, Lianpeng Jing, Zengliang Li, Xuyu Tang, Lili Gu, Junli Shi, Jieyun Cai College of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China College of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China College of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China College of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China College of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, China Yunnan Tobacco Agricultural Science Research Institute, Yuxi 653100, China Yunnan Tobacco Quality Supervision and Testing Station, Kunming 650106, China

Keywords:

Computer simulation, Molecularly imprinted polymer, Adsorption, Triadimenol, Solid phase extraction

Abstract

Computer simulation technology was employed to design the pre-polymerization system for triadimenol (TDM) molecularly imprinted polymer. The optimal functional monomer identified was methacrylic acid (MAA), and the molar ratio of TDM to MAA (TDM-MAA) was established as 1:3 for the pre-polymerization process. Thermodynamic analysis indicated that the TDM-MAA self-assembly was a non-spontaneous, endothermic reaction, with a suitable pre-polymerization reaction temperature of 30℃. Leveraging the computer simulation results, triadimenol molecularly imprinted polymer nanoparticles (TDM-MIPs) with a uniform particle size distribution and a large specific surface area were synthesized via precipitation polymerization. These TDM-MIPs exhibited adsorption affinity for TDM and its structural analogs. The molecularly imprinted polymer was then utilized as a solid-phase extraction filler to fabricate a molecularly imprinted solid-phase extraction (MISPE) column for the pretreatment of tobacco leaf samples. Ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was subsequently employed to detect and analyze the pretreated tobacco leaf extracts. The average recovery rates for the four triazole fungicides ranged from 88.3% to 100.68%, with relative standard deviations (RSDs) of 2.9% to 9.3%. Consequently, a TDM-MISPE-UPLC-MS/MS method was established for the simultaneous detection of trace levels of triadimenol, triadimefon, myclobutanil, and tebuconazole in tobacco leaves.

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Published

2023-12-22