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离心萃取辅助光纤增强拉曼光谱法用于在线检测石油电力设备中的痕量糠醛

Centrifugal Extraction-Assisted Fiber-Enhanced Raman Spectroscopy for Online Detection of Trace Furfural in Oil Power Equipment.

作者信息

Song Ruimin, Chen Weigen, Wang Ziyi, Zhang Zhixian, Huang Yingzhou, Wang Jianxin

机构信息

State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.

Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 400044, China.

出版信息

Anal Chem. 2023 Oct 10;95(40):14905-14913. doi: 10.1021/acs.analchem.3c02158. Epub 2023 Sep 27.

DOI:10.1021/acs.analchem.3c02158
PMID:37766413
Abstract

Oil-paper insulated equipment is integral in power conversion and supports low-loss electricity transport. As a characteristic byproduct of the oil-paper insulation system, the realization of efficient detection of furfural in oil is crucial to the safe operation of the power grid. We proposed a novel approach using dual-enhanced Raman spectroscopy for sensing trace liquid components. This method employs a centrifugal extractor to separate and enrich the targeted components, achieving selective enhancement. The optimal phase ratio was determined to be 30:1. A liquid-core fiber was used to optimize the laser transmission efficiency and Raman signal collection efficiency, resulting in a nonselective signal enhancement of 44.86. It also investigated the impact of intermolecular interactions on the shift of Raman spectra, identifying the reasons for the differences in Raman signals between pure furfural, furfural in oil, and furfural in water. A batch of samples with furfural dissolved in insulation oil was measured using this system and achieved a limit of detection of 0.091 mg/L. The stability of the dual-enhanced Raman platform was experimentally verified with a spectral intensity fluctuation of 0.68%. This method is fast, stable, adaptable, and suitable for the detection of a wide range of liquid ingredients.

摘要

油纸绝缘设备在电力转换中不可或缺,并支持低损耗电力传输。作为油纸绝缘系统的一个典型副产品,实现对油中糠醛的高效检测对电网的安全运行至关重要。我们提出了一种使用双增强拉曼光谱来传感痕量液体成分的新方法。该方法采用离心萃取器来分离和富集目标成分,实现选择性增强。确定最佳相比为30:1。使用液芯光纤来优化激光传输效率和拉曼信号收集效率,导致非选择性信号增强44.86。它还研究了分子间相互作用对拉曼光谱位移的影响,确定了纯糠醛、油中糠醛和水中糠醛之间拉曼信号差异的原因。使用该系统对一批溶解在绝缘油中的糠醛样品进行了测量,检测限达到0.091 mg/L。通过0.68%的光谱强度波动实验验证了双增强拉曼平台的稳定性。该方法快速、稳定、适应性强,适用于检测多种液体成分。

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