纳米复合材料
固相萃取
吸附
质谱法
检出限
萃取(化学)
气相色谱法
化学
气相色谱-质谱法
增塑剂
邻苯二甲酸盐
色谱法
材料科学
纳米技术
有机化学
作者
Liushan Jiang,Jingwen Niu,Yue Zhang,Huanhuan Liu,Shiyu Huang,Shuai Yuan,Guangyu Dong,Lutong Bu,Denghao Song,Qingxiang Zhou
标识
DOI:10.1016/j.seppur.2024.126595
摘要
Phthalates (PAEs) are typical plasticizers, and widely used in various products. Because of their toxic effects such as carcinogenicity and endocrine disruption, they have become one of the most important public health hazards. It is vital to establish reliable methods for sensitively measuring PAEs at trace levels in the environment. In present study, a new magnetic metal organic framework functionalized MXene composite was designed (CoFe2O4@Ti3C2@MIL101(Cr)), in which NH2-MIL101(Cr) was successfully modified onto the surface of aldehyde-functionalized magnetic titanium carbide by Schiff base reaction. The prepared magnetic composite was used as the adsorbent for magnetic solid-phase extraction (MSPE) in combination with gas chromatography–triple quadrupole mass spectrometry (GC-MS/MS) for high-performance enrichment and sensitive measurement of seventeen PAEs. CoFe2O4@Ti3C2@MIL101(Cr) had favorable adsorption ability for PAEs, the adsorption of PAEs was multilayered and non-uniform, and followed the pseudo-second-order kinetic model and Redlich-Peterson isotherm model. Moreover, the results revealed that the lower temperature was more beneficial for the extraction of PAEs. The factors influencing the enrichment efficiencies of PAEs were investigated. Under the optimal experimental conditions, the constructed method exhibited prominent linearity over concentration range of 0.01–40 μg L−1, and the limits of detection (LODs) were very low over range of 0.003–0.018 μg L−1. The extraction efficiencies of seventeen PAEs were ranged from 44.2 % to 104 %. The established method was validated for determining PAEs in the different beverages, and DIBP (0.19 μg L−1) and DBP (0.44 μg L−1) were successfully detected in tea drinks, and the spiked recoveries of seventeen PAEs in real samples were in the range of 86.9 −100.2 %, with standard deviations less than 5.8 %. The enrichment factors were between 71 and 166. In short, the proposed method earned prominent sensitivity and high feasibility, and could be a credible, and valuable alternative for monitoring PAEs in the future.
科研通智能强力驱动
Strongly Powered by AbleSci AI