Suppr超能文献

通过激发-发射矩阵光谱荧光指数对海水中十二烷基苯检测的实验室研究。

Laboratory Investigation of Dodecylbenzene Detection in Seawater Via Fluorometric Index of Excitation-emission Matrix Spectra.

作者信息

Liao Jianping, Liu Zhifeng, Yang Weiqi, Tian Chen, Wu Xueyu, Zhu Zhiping, Wang Zhenggang

机构信息

Electric Power Research Institute of EHV Transmission Company, China Southern Power Grid Co., Ltd, 510405, Guangzhou, PR China.

Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation, School of Chemistry and Chemical Engineering, Changsha University of Science and Technology, 410114, Changsha, PR China.

出版信息

J Fluoresc. 2025 Jul;35(7):5789-5795. doi: 10.1007/s10895-024-03978-1. Epub 2024 Oct 1.

Abstract

​Oil-filled submarine cables have come to dominate the reliable delivery of electrical power today, but oil leakages still remain a challenge. This work focuses on exploring the detection of dodecylbenzene (DDB) after leakage. DDB can be dispersed as small droplets in seawater, which the diameter of DDB droplets increased from 60 nm to 200 nm with the increase of the concentration from 10 ppm to 1000 ppm. Moreover, excitation-emission matrix (EEM) spectra were employed to investigated the detection of DDB. DDB has characteristic fluorescence peaks located at λ/λ = 225/350 and 255/350. The FI value of 50 ppm DDB was 28.869, which was significantly different from simulated seawater low as 1.3926. Contaminants such as metal ions (Cu, Cd, Zn) and organic matter (tetracycline) do not significantly affect the qualitative identification of DDB by EEMs. This study suggests a research basis for exploring the way for detection of DDB.

摘要

充油海底电缆如今已在可靠的电力输送方面占据主导地位,但漏油问题仍然是一项挑战。这项工作聚焦于探索泄漏后十二烷基苯(DDB)的检测方法。DDB 可在海水中分散成小液滴,随着浓度从 10 ppm 增加到 1000 ppm,DDB 液滴的直径从 60 纳米增加到 200 纳米。此外,采用激发 - 发射矩阵(EEM)光谱来研究 DDB 的检测。DDB 具有位于 λ/λ = 225/350 和 255/350 的特征荧光峰。50 ppm DDB 的 FI 值为 28.869,与模拟海水低至 1.3926 有显著差异。金属离子(铜、镉、锌)和有机物(四环素)等污染物不会显著影响通过 EEM 对 DDB 的定性识别。本研究为探索 DDB 的检测方法提供了研究基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验