Issue 45, 2018, Issue in Progress

Preparation of a magnetic multiwalled carbon nanotube@polydopamine/zeolitic imidazolate framework-8 composite for magnetic solid-phase extraction of triazole fungicides from environmental water samples

Abstract

A novel magnetic zinc-based zeolitic imidazolate framework (MMP/ZIF-8) has been prepared using a magnetic multiwalled carbon nanotube@polydopamine nanocomposite as the magnetic core and support. It was then used as an adsorbent for magnetic solid-phase extraction of triazole fungicides from environmental water samples. Successful synthesis of MMP/ZIF-8 was confirmed by material characterization, and the results showed that the synthetic composite has a high Brunauer–Emmett–Teller surface area (141.56 m2 g−1), large total pore volume (0.636 mL g−1), and high superparamagnetism with a saturation magnetization of 44.1 emu g−1. To evaluate the extraction performance of MMP/ZIF-8, the main parameters that affect the extraction efficiency were optimized. Under the optimal conditions, the developed method shows good linearity (R2 ≥ 0.9915) in the concentration range 1–400 μg L−1. Low limits of detection (0.08–0.27 μg L−1, signal/noise = 3 : 1) and good precision (intraday relative standard deviation ≤ 7.73%, interday relative standard deviation ≤ 9.65%) are also achieved. The developed method was applied for analysis of triazole fungicides in environmental water samples.

Graphical abstract: Preparation of a magnetic multiwalled carbon nanotube@polydopamine/zeolitic imidazolate framework-8 composite for magnetic solid-phase extraction of triazole fungicides from environmental water samples

Article information

Article type
Paper
Submitted
13 Jun 2018
Accepted
09 Jul 2018
First published
16 Jul 2018
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2018,8, 25351-25360

Preparation of a magnetic multiwalled carbon nanotube@polydopamine/zeolitic imidazolate framework-8 composite for magnetic solid-phase extraction of triazole fungicides from environmental water samples

X. Huang, Y. Liu, G. Liu, L. Li, X. Xu, S. Zheng, D. Xu and H. Gao, RSC Adv., 2018, 8, 25351 DOI: 10.1039/C8RA05064C

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