萃取(化学)
聚合物
检出限
化学
沉淀聚合
材料科学
涂层
降水
聚合
吸附
色谱法
固相萃取
纳米技术
自由基聚合
有机化学
物理
气象学
作者
Mengfei Wan,Fachun Xiang,Zhongdong Liu,Denggao Guan,Yong Shao,Lufei Zheng,Maojun Jin,Yongxin She,Liping Cao,Fen Jin,Rui Chen,Shanshan Wang,Yi‐Jun Wu,A.M. Abd El‐Aty,Jing Wang
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2021-06-26
卷期号:365: 130485-130485
被引量:48
标识
DOI:10.1016/j.foodchem.2021.130485
摘要
• A novel Fe 3 O 4 @ZIF-8@polymer core-shell-shell nanosphere was fabricated via a facile and versatile modification strategy. • Functional polymer modification substantially improved the extraction performance of Fe 3 O 4 @ZIF-8 for OPPs. • Magnetic core endowed fast separation and simplified the pre-treatment process. • A high sensitive and reliable MSPE-LC/MS-MS method was developed and validated. • It can be used for simultaneous monitoring of multiple OPPs in various matrices at trace levels. Herein, a novel core-shell-shell magnetic nanosphere denoted as Fe 3 O 4 @ZIF-8@polymer was fabricated by sequential in situ self-assembly and precipitation polymerization for effective magnetic solid-phase extraction of nine organophosphorus pesticides (OPPs) from river water, pear, and cabbage samples. The integrated Fe 3 O 4 @ZIF-8@polymer featured convenient magnetic separation property and excellent multi-target binding ability. More importantly, the functional polymer coating greatly improved the extraction performance of Fe 3 O 4 @ZIF-8 for OPPs, thus facilitating the simultaneous determination of trace OPP residues in real samples. The developed MPSE-LC-MS/MS method exhibited good linearity ( R 2 ≥ 0.9991) over the concentration range of 0.2–200 µg L −1 , low limits of detection of 0.0002–0.005 μg L −1 for river water and 0.006–0.185 μg kg −1 for pear and cabbage, satisfactory precision with relative standard deviations ≤ 9.7% and accuracy with recoveries of 69.5–94.3%. These results highlight that the combination of polymers with MOFs has great potential to fabricate excellent adsorbents for high-throughput analysis of various contaminants in complex matrices.
科研通智能强力驱动
Strongly Powered by AbleSci AI