关键词: AgNPs aggregation Anti-infective drugs Rapid detection SERS Vortex

Mesh : Humans Silver / chemistry Metal Nanoparticles / chemistry Drug Residues Water Pefloxacin Cefazolin Spectrum Analysis, Raman / methods Anti-Infective Agents Environmental Pollutants

来  源:   DOI:10.1016/j.aca.2022.340539

Abstract:
The environmental pollution and human health risks caused by anti-infective residual drugs in the environment have attracted much attention. More convenient and effective detection methods to achieve the rapid and high sensitivity detection for such pollutants are required. In this work, a novel surface-enhanced Raman scattering (SERS) strategy based on vortex aggregation of AgNPs was proposed for the detection of anti-infective drugs in environmental water. The method enhanced the Raman signal of the targets by 2-7.4 times. The mechanism of aggregation enhancement effect under the low-frequency oscillation procedure which significantly enhanced the SERS signal of targets molecular on the aggregated AgNPs was revealed by UV-vis and ICP-MS methods. Three drugs of cefazolin sodium, pefloxacin, and chloroquine phosphate were determined. The detect limits were 3.97 × 10-9 mol/L, 2.42 × 10-10 mol/L, and 7.34 × 10-9 mol/L for cefazolin sodium, pefloxacin, and chloroquine phosphate, respectively. The quantitative relationships were obtained in a wide linear range of 4-5 orders as well as good accuracy and stability with the recoveries of 84.0%-97.1% and the relative standard deviations (RSDs) less than 4.6% for spiked in actual water samples. This method also had excellent repeatability and stability, which have potential application for rapid detection of trace pollutants in water environment.
摘要:
抗感染药物在环境中残留对环境的污染和对人体健康的危害已引起人们的广泛关注。需要更方便有效的检测方法来实现对此类污染物的快速、高灵敏度检测。在这项工作中,提出了一种基于AgNPs涡旋聚集的表面增强拉曼散射(SERS)策略,用于检测环境水中的抗感染药物。该方法将目标的拉曼信号增强了2-7.4倍。通过UV-vis和ICP-MS方法揭示了低频振荡过程下聚集增强作用的机理,该机理显着增强了目标分子在聚集的AgNPs上的SERS信号。三种药物头孢唑林钠,培氟沙星,并测定了磷酸氯喹。检出限为3.97×10-9mol/L,2.42×10-10mol/L,头孢唑林钠7.34×10-9mol/L,培氟沙星,和磷酸氯喹,分别。定量关系在4-5个数量级的宽线性范围内获得,并且具有良好的准确性和稳定性,在实际水样中加标的回收率为84.0%-97.1%,相对标准偏差(RSD)小于4.6%。该方法具有良好的重复性和稳定性,水环境中痕量污染物的快速检测具有潜在的应用前景。
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