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荧光信号的概率分析用于监测双重配水回收方案。

Probabilistic analysis of fluorescence signals for monitoring dual reticulation water recycling schemes.

机构信息

UNSW Water Research Centre, School of Civil and Environmental Engineering, The University of New South Wales, Sydney 2052, Australia.

出版信息

Water Sci Technol. 2010;62(9):2059-65. doi: 10.2166/wst.2010.504.

DOI:10.2166/wst.2010.504
PMID:21045332
Abstract

Improved techniques are required for the detection of inadvertent cross-connections between recycled water and potable water systems in dual reticulation schemes. The aim of this research was to assess the potential for fluorescence spectroscopy to be developed as a tool to distinguish recycled water from potable water. Weekly grab samples of recycled and potable water were obtained over 12 weeks from within an Australian dual reticulation site and analysed for fluorescence excitation-emission matrix (EEM), dissolved organic carbon (DOC), electrical conductivity (EC), and pH. Probabilistic techniques including distribution function fitting and Monte Carlo simulation were used to assess the ability to distinguish between recycled water and potable water sample pairs and the reliability of doing so. Fluorescence EEM spectroscopy was determined to be the most effective for the reliable differentiation by monitoring the protein-like fluorescence at peak T(1)--an excitation-emission wavelength pair of λ(ex/em)=300/350 nm. While EC could distinguish between recycled and potable water, it was shown to be less sensitive and less reliable than peak T(1) fluorescence.

摘要

需要改进技术以检测双管网系统中再生水和饮用水系统之间的无意交叉连接。本研究旨在评估荧光光谱学是否有可能开发成为区分再生水和饮用水的工具。在澳大利亚的一个双管网现场,每周从再生水和饮用水中采集一次随机样本,并对荧光激发-发射矩阵(EEM)、溶解有机碳(DOC)、电导率(EC)和 pH 值进行分析。概率技术,包括分布函数拟合和蒙特卡罗模拟,用于评估区分再生水和饮用水样品对的能力及其可靠性。通过监测蛋白样荧光在峰 T(1)处的荧光发射矩阵(EEM)光谱,确定荧光 EEM 光谱是最有效的可靠区分方法,峰 T(1)的激发-发射波长对为 λ(ex/em)=300/350nm。虽然 EC 可以区分再生水和饮用水,但它的灵敏度和可靠性都不如峰 T(1)荧光。

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