Triazine-triphenylphosphine based porous organic polymer as sorbent for solid phase extraction of nitroimidazoles from honey and water

A triazine-based porous organic polymer was prepared by facile solvothermal polymerization with cya-nuric chloride and triphenyl phosphine as functional monomers. The polymer was characterized and then used for the first time as the sorbent for the effective solid-phase extraction of some nitroimidazoles (NDZs) (metronidazole, ronidazole, secnidazole, dimetridazole and ornidazole). The main experimental influencing parameters for the extraction including the eluent solvent, eluent volume, sample loading rate, sample solution pH, salt concentration and sample volume were investigated. The adsorption kinet-ics and adsorption isotherms were investigated to elucidate the possible adsorption mechanism. With the triazine-based porous organic polymer as the SPE adsorbent, trace NDZs were effectively extracted. The good enrichment capability for the NDZs was mainly attributed to the hydrogen binding interactions by the aromatic 1,3,5-trizine rings. After the SPE, the extracted analytes were analyzed by high-performance liquid chromatograph with ultraviolet detection. Under the selected conditions, the method had a good linear response for the analytes in the range of 0.06-120 ng mL -1 for water and 1.5-1200 ng g -1 for honey samples. The limits of detections (S/N = 3) fell in the range of 0.02-0.06 ng mL -1 for water and 0.5-1.5 ng g -1 for honey samples. The method recoveries for the analytes for spiked samples were in the range of 80.3-118%. The method can be applied for the determination of the NDZs from real samples. (c) 2021 Elsevier B.V. All rights reserved.

Automated summary

A triazine-based porous organic polymer was synthesized and used as an effective sorbent for solid-phase extraction of nitroimidazoles. The adsorption mechanism was attributed to hydrogen bonding interactions by the aromatic 1,3,5-triazine rings. The method showed good linear response and acceptable recovery rates for spiked samples, demonstrating its potential for real sample analysis.