ArticleSe pu = Chinese journal of chromatography2026
[Revolution teaching practice in sample pretreatment supported by large-scale instrument： a case study of magnetic covalent organic framework enriching organic ultraviolet filters in seawater].
Article in Se pu = Chinese journal of chromatography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Current undergraduate environmental chemistry curricula often suffer from a disconnect between sample preparation and large-scale instrumental analysis， making it difficult to cultivate students' systematic analytical capabilities. Furthermore， the experimental content predominantly focuses on conventional water quality parameters and traditional pollutants like heavy metals， lacking training in monitoring and remediation technologies for new pollutants， which creates a significant gap with national strategic needs. To address this issue， this study designed an integrated comprehensive experiment that combines material synthesis， sample pretreatment， and large-scale instrumental analysis， targeting typical new pollutants， such as organic ultraviolet filters （OUVFs） from pharmaceuticals and personal care products. A magnetic covalent organic framework （MCOF） was synthesized via a reflux heating method. Students were guided to apply it as the sorbent in magnetic solid-phase extraction （MSPE）. Owing to its facile magnetic separation， the rapid enrichment of OUVFs was achieved within 8 min， followed by quantitative determination of seawater samples using ultra-high performance liquid chromatography-tandem mass spectrometry （UHPLC-MS/MS）. Through a three-stage teaching module encompassing "pre-class preview， in-class experiment， and post-class discussion"， the experiment emphasizes enhancing students' independent exploration abilities in adsorbent synthesis and characterization， optimization of enrichment parameters， and data analysis. Teaching practice has shown that this design not only enabled students to deeply understand the complex sample pretreatment process and the mechanism of multi-factor synergistic effects， but also significantly enhanced their comprehensive innovation and practical abilities in solving new pollutant monitoring problems.
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