Magnetic porous carbon derived from a bimetallic metal–organic framework for magnetic solid-phase extraction of organochlorine pesticides from drinking and environmental water samples

• Published in: Journal of Chromatography A Vol. 1479; pp. 55 - 61
• Main Authors: Liu, Yaxi, Gao, Zongjun, Wu, Ri, Wang, Zhenhua, Chen, Xiangfeng, Chan, T.-W. Dominic
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 06-01-2017
• Subjects: Carbon - chemistry; Chromatography, Gas; Drinking Water - chemistry; Environmental Monitoring - methods; Hydrocarbons, Chlorinated - analysis; Limit of Detection; Magnetic solid-phase extraction; Metal-organic frameworks; Metals - chemistry; Organochlorine pesticide; Osmolar Concentration; Pesticides - analysis; Porosity; Signal-To-Noise Ratio; Solid Phase Extraction; Solvents - chemistry; Triple quadrupole mass spectrometer; Water Pollutants, Chemical - analysis; Triple quadrupole mass spectrometer; Magnetic solid-phase extraction; Organochlorine pesticide; Metal-organic frameworks
• ISSN: 0021-9673; 1873-3778
• DOI: 10.1016/j.chroma.2016.12.014

•Magnetic porous carbon derived from bimetallic metal–organic framework was synthesized.•The magnetic porous carbon was used as sorbent for MSPE of organochlorine pesticides from drinking and environmental water samples.•High extraction efficiency and good sensitivity was achieved using the developed method.
In this work, magnetic porous carbon material derived from a bimetallic metal–organic framework was explored as an adsorbent for magnetic solid-phase extraction of organochlorine pesticides (OCPs). The synthesized porous carbon possessed a high specific surface area and magnetization saturation. The OCPs in the samples were quantified using gas chromatography coupled with a triple quadrupole mass spectrometer. The experimental parameters, including the desorption solvent and conditions, amount of adsorbent, extraction time, extraction temperature, and ionic strength of the solution, were optimized. Under optimal conditions, the developed method displayed good linearity (r>0.99) within the concentration range of 2–500ngL−1. Low limits of detection (0.39–0.70ngL−1, signal-to-noise ratio=3:1) and limits of quantification (1.45–2.0ngL−1, signal-to-noise ratio=10:1) as well as good precision (relative standard deviation<10%) were also obtained. The developed method was applied in the analysis of OCPs in drinking and environmental water samples.