Development of dispersive solid-phase extraction with polyphenylene conjugated microporous polymers for sensitive determination of phenoxycarboxylic acids in environmental water samples
| Autor: | Lu Liu, Li-Zong Chen, Jin-Ming Lin, Ru-Song Zhao, Jin-Qing Ma, Xia Wang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Detection limit
chemistry.chemical_classification 021110 strategic defence & security studies Environmental Engineering Chromatography Chemistry Health Toxicology and Mutagenesis Extraction (chemistry) 0211 other engineering and technologies 02 engineering and technology Polymer Microporous material 010501 environmental sciences 01 natural sciences Pollution Conjugated microporous polymer Adsorption Liquid chromatography–mass spectrometry Environmental Chemistry Solid phase extraction Waste Management and Disposal 0105 earth and related environmental sciences |
| Zdroj: | Journal of Hazardous Materials. 371:433-439 |
| ISSN: | 0304-3894 |
| DOI: | 10.1016/j.jhazmat.2019.03.033 |
| Popis: | High-performance capturing polar phenoxycarboxylic acids herbicides (PCAs) from water samples remains a great challenge because PCAs form salt easily and dissolve. Polyphenylene-based conjugated microporous polymers (PP-CMPs), a fascinating type of polymers, bear π-conjugation over 3D polyphenylene scaffolds, inherent micropore, and large surface area, which are essential for capturing trace PCAs in complex samples. This work developed a novel approach to quantify trace PCAs using PP-CMPs as an efficient dispersive solid-phase extraction (d-SPE) adsorbent. The developed method based on PP-CMPs achieved high sensitivity with limits of detection of 0.55–3.84 ng L−1, satisfactory correlation coefficients (≥ 0.9912), good linearity (50–10,000 ng L−1), and good precisions (2.0–9.0%). Moreover, this method was used for simultaneous monitoring of the amounts of five PCAs in environmental water samples with satisfactory spiked recoveries (86.9–101.3%). All these fact demonstrated that this new d-SPE technique based on PP-CMPs exhibited a promising potential for highly sensitive analysis of trace PCAs in complex samples. |
| Databáze: | OpenAIRE |
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