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首页> 外文期刊>Journal of Materials Chemistry, B. materials for biology and medicine >Detection of polycyclic aromatic hydrocarbons from cooking oil using ultra-thin layer chromatography and surface enhanced Raman spectroscopy
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Detection of polycyclic aromatic hydrocarbons from cooking oil using ultra-thin layer chromatography and surface enhanced Raman spectroscopy

机译:超薄层色谱和表面增强拉曼光谱法从食用油中检测多环芳烃

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摘要

The combinatory use of on-chip ultra-thin layer chromatography (UTLC) and surface enhanced Raman spectroscopy (SERS) has been demonstrated to detect mixtures of hazardous food contaminants, polycyclic aromatic hydrocarbons (PAHs), from cooking oil samples. After a simple acetonitrile extraction step, the organic phase was directly applied to the chemically modified SERS-active silver nanorod (AgNR) substrate without further cleanup, and subjected to UTLC separation. The spectral interference from co-extracted oil residues was mitigated by UTLC, and the SERS detection limits were found to be equivalent to or lower than those found in standard PAH solutions. The interference from the oil matrix was also quantitatively assessed, and the PAH extraction procedure was optimized for UTLC-SERS. This UTLC-SERS strategy provides a simple but effective method for on-chip sample cleanup and sensing from complex sample matrices.
机译:已经证明,结合使用片上超薄层色谱(UTLC)和表面增强拉曼光谱(SERS)可以从食用油样品中检测有害食品污染物,多环芳烃(PAH)的混合物。简单的乙腈萃取步骤后,将有机相直接应用于化学修饰的SERS活性银纳米棒(AgNR)基板,无需进一步净化,然后进行UTLC分离。 UTLC减轻了共萃取油残渣的光谱干扰,发现SERS检测限等于或低于标准PAH溶液中的检测限。还对油基质的干扰进行了定量评估,并针对UTLC-SERS优化了PAH提取程序。这种UTLC-SERS策略提供了一种简单而有效的方法,用于从芯片上清除样品并从复杂的样品基质中进行检测。

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