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采用薄层色谱和表面增强拉曼光谱结合 BP 神经网络快速检测保健品中的六种磷酸二酯酶 5 型酶抑制剂。

Rapid detection of six phosphodiesterase type 5 enzyme inhibitors in healthcare products using thin-layer chromatography and surface enhanced Raman spectroscopy combined with BP neural network.

机构信息

Key Laboratory of Food Nutrition and Safety, Ministry of Education, Tianjin University of Science and Technology, Tianjin, China.

Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing, China.

出版信息

J Sep Sci. 2017 Jun;40(11):2506-2514. doi: 10.1002/jssc.201700024. Epub 2017 May 12.

Abstract

A novel facile method for the detection of the phosphodiesterase type 5 enzyme inhibitors added illegally into health products was established using thin-layer chromatography and surface enhanced Raman spectroscopy combined with BP neural network. When the detection conditions were optimized in detail, a repetitive adding procedure of silver colloids with the total amount keeping constant was used to improve the enhancement effect of surface enhanced Raman spectroscopy. According to the main Raman peaks and the retention factor of analyte, the data predictive model was established. Under the optimized experimental conditions, this method was successful to apply to detect the artificially produced model samples, and the limit of detection less than 5 mg/kg was obtained. Based on the excellent sensitivity of this method, the real samples have been detected accurately and the detection results were confirmed by high-performance liquid chromatography. In addition, the developed method was suitable for the detection of other adulterants, especially those that have similar chromatographic or spectroscopic behaviors.

摘要

建立了一种利用薄层色谱和表面增强拉曼光谱结合 BP 神经网络快速检测保健品中非法添加的磷酸二酯酶 5 型抑制剂的新方法。当详细优化检测条件时,使用重复添加具有恒定总量的银胶体的方法来提高表面增强拉曼光谱的增强效果。根据主要的拉曼峰和分析物的保留因子,建立了数据预测模型。在优化的实验条件下,该方法成功应用于人工生产的模型样品的检测,得到的检出限小于 5mg/kg。基于该方法的优异灵敏度,对实际样品进行了准确检测,并通过高效液相色谱法对检测结果进行了确认。此外,该方法还适用于检测其他掺杂物,特别是具有相似色谱或光谱行为的掺杂物。

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