Issue 45, 2025, Issue in Progress

Study on selective adsorption of organic pollutants in environmental water samples by solid-phase microextraction based on MOF-derived coatings

Abstract

A novel multifunctional coating strategy was developed through electrodeposition of Co(OH)2 onto NiTi fibers, followed by in situ transformation into Zeolitic Imidazolate Framework-67(ZIF-67), and subsequent pyrolytic conversion under varied thermal conditions to yield three types of ZIF-67-derived coatings: (1) ZIF-67-Co3O4, (2) ZIF-67-nitrogen-doped carbon (ZIF-67-NC), and (3) ZIF-67-carbon (ZIF-67-C). The extraction selectivity of these coatings was systematically evaluated using HPLC-UV analysis against typical organic pollutants, including chlorinated pesticides (CPs), phthalate esters (PAEs), ultraviolet filters (UVFs), and polycyclic aromatic hydrocarbons (PAHs). Results demonstrated that the tailored pyrolytic treatments produced Co-based ZIF-67 derivatives with unique structural characteristics and selective adsorption properties: (i) ZIF-67-C exhibited superior specificity for PAHs adsorption, (ii) ZIF-67-NC demonstrated enhanced selectivity for UVFs extraction, and (iii) ZIF-67-Co3O4 displayed dual functionality for both PAHs and UVFs removal. This work not only elucidates the structure–property correlations in ZIF-67-based composites but also significantly expands the applicability of NiTi fibers in solid-phase microextraction (SPME) technology for environmental detection.

Graphical abstract: Study on selective adsorption of organic pollutants in environmental water samples by solid-phase microextraction based on MOF-derived coatings

Supplementary files

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Article information

Article type
Paper
Submitted
09 Apr 2025
Accepted
02 Oct 2025
First published
08 Oct 2025
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2025,15, 37570-37578

Study on selective adsorption of organic pollutants in environmental water samples by solid-phase microextraction based on MOF-derived coatings

J. Du, J. Li, R. Yin, S. Liu, T. Deng and X. Du, RSC Adv., 2025, 15, 37570 DOI: 10.1039/D5RA02456K

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