Covalent organic frameworks (COFs), which are a new type of carbonaceous polymeric material, have attracted great interest because of their large surface area and high chemical and thermal stability. However, to the best of our knowledge, no work has reported the use of magnetic COFs as adsorbents for magnetic solid-phase extraction (MSPE) to enrich and determine environmental pollutants. This work aims to investigate the feasibility of using covalent triazine-based framework (CTF)/FeO composites as MSPE adsorbents to enrich and analyze perfluorinated compounds (PFCs) at trace levels in water samples. Under the optimal conditions, the method developed exhibited low limits of detection (0.62-1.39 ng·L), a wide linear range (5-4000 ng L), good repeatability (1.12-9.71%), and good reproducibility (2.45-7.74%). The new method was successfully used to determine PFCs in actual environmental water samples. MSPE based on CTF/FeO composites exhibits potential for analysis of PFCs at trace levels in environmental water samples. Graphical abstract Magnetic covalent triazine-based frameworks (CTFs) were used as magnetic solid-phase extraction adsorbents for the sensitive determination of perfluorinated compounds in environmental water samples. PFBA perfluorobutyric acid, PFBS perfluorobutane sulfonate, PFDA perfluorodecanoic acid, PFDoA perfluorododecanoic acid, PFHpA perfluoroheptanoic acid, PFHxA perfluorohexanoic acid, PFHxS perfluorohexane sulfonate, PFNA perfluorononanoic acid, PFOA perfluorooctanoic acid, PFPeA perfluoropentanoic acid, PFUdA Perfluoroundecanoic acid.

This study demonstrates for the first time the enrichment potential of covalent triazine-based frameworks/iron oxide for the magnetic solid-phase extraction of seven typical polar phenolic pollutants. Important parameters, such as the eluant and its volume, adsorbent amounts, sample pH, extraction time, and ionic strength, were optimized in detail. Under the optimal conditions, low limits of detection (0.09-0.53 ng/mL), wide linear range (25-2000 ng/mL), good repeatability (1.2-8.3%) and reproducibility (1.5-9.9%) were achieved. The developed method was successfully applied to analyze the target phenols at trace levels in environmental water samples.