超细纤维
材料科学
蒸发
拉曼光谱
膜
纳米-
多孔性
纳米技术
化学工程
化学
复合材料
光学
生物化学
热力学
物理
工程类
作者
Mohammadamin Rashidi,Xiang Yu Yan,Chiranjeevi Kanike,Kobra Fattahi,Hongyan Wu,Nobuo Maeda,Xuehua Zhang
标识
DOI:10.1021/acsanm.4c05274
摘要
This study demonstrates an ultrasensitive method for surface-enhanced Raman spectroscopy (SERS) based on dispersive liquid–liquid microextraction (DLLME) coupled with droplet evaporation on a functionalized omniphobic microfiber membrane. The omniphobicity of the membrane was achieved by the fabrication of fractal structures using silica nanoparticles and lowering surface energy. The approach involves the preconcentration of the analyte in a ternary mixture of water–oil–ethanol, followed by collecting microemulsion droplets in an omniphobic porous microfiber membrane. A supraparticle of plasmonic nanoparticles formed from droplet evaporation on the membrane acts as hotspots for SERS detection. This method achieves exceptionally low detection limits of 10 –6 –10 –14 M for four nonvolatile and three volatile analytes of significance to food safety and environment after oil spill. The intensity of SERS signals depends on the partition coefficient of the analyte in water and oil microdroplets, the response of functional groups in the chemical structure of the analytes to Raman scattering, and the wetting properties of the microfiber membrane. The preparation method demonstrated in this work may have broad applications in the detection of pesticides in environmental monitoring, pharmaceutical waste, and hydrocarbon pollutants.
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