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Development of a three-dimensional porous ionic liquid-chitosan-graphene oxide aerogel for efficient extraction and detection of polyhalogenated carbazoles in sediment samples

化学 气凝胶 吸附 石墨烯 离子液体 壳聚糖 萃取(化学) 氧化物 检出限 离子强度 多孔性 化学工程 色谱法 有机化学 水溶液 工程类 催化作用
作者
Meng Xiao,Pengfei Li,Yanke Lu,Jiankun Cao,Hongyuan Yan
出处
期刊:Talanta [Elsevier BV]
卷期号:271: 125711-125711 被引量:4
标识
DOI:10.1016/j.talanta.2024.125711
摘要

The three-dimensional porous ionic liquid-chitosan-graphene oxide aerogel (IL–CS–GOA) monolithic adsorbent with a through-hole structure was prepared using natural chitosan (CS) as the skeletal framework, graphene oxide (GO) as the support to provide mechanical strength, and ionic liquid (IL) as the porogen and modifier. The resulting IL–CS–GOA demonstrated a fluffy and porous structure with various pore sizes and excellent regeneration capability (over six cycles). Its specific surface area exceeded that of CS-GOA and IL-GOA by more than 7 times, enhancing its polyhalogenated carbazoles (PHCZs) adsorption capacity. Within 5 min, IL–CS–GOA (1.0 mg) exhibited adsorption amounts of 539 ng mg−1 for 3-bromocarbazole (3-BCZ), 716 ng mg−1 for 2,7-dibromocarbazole (2,7-BCZ), and 798 ng mg−1 for 1,3,6,8-tetrabromocarbazole (1,3,6,8-BCZ), showcasing its rapid mass transfer and high adsorption capabilities. IL–CS–GOA was utilized as the adsorbent for glass dropper extraction (GDE) in conjunction with gas chromatography-mass spectrometry (GC-MS/MS), to develop a highly efficient and accurate method for determining PHCZs in sediments. Under optimal conditions, the established method exhibited a wide linear range (0.4–250 ng g−1, r ≥ 0.9990), low detection limits (0.04–0.24 ng g−1), and satisfactory recoveries (80.5 %–93.8 %), enabling the accurate and rapid detection of PHCZs in sediment samples. This study presents a novel approach for creating three-dimensional porous aerogels, introduces a new form of sample pretreatment using GDE with a monolithic adsorbent, and offers a new method for the determination of PHCZs in environmental matrices.

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