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

机译:荧光信号的概率分析,用于监测双网状水回收计划

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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.
机译:在双网状方案中,需要改进的技术来检测循环水和饮用水系统之间的意外交叉连接。这项研究的目的是评估荧光光谱技术的潜力,该荧光光谱技术可作为区分回收水和饮用水的工具。在澳大利亚双重网状场所内,在12周内每周获取一次回收的饮用水和饮用水样本,并分析了荧光激发-发射矩阵(EEM),溶解的有机碳(DOC),电导率(EC)和pH。概率技术包括分布函数拟合和蒙特卡洛模拟被用来评估区分回收水和饮用水样本对的能力以及这样做的可靠性。通过监测峰值T_1(激发_发射波长对λ_(ex / em)= 300/350 nm)处的蛋白样荧光,荧光EEM光谱被认为是最有效的可靠区分方法。尽管EC可以区分回收水和饮用水,但已证明它比T_1荧光峰值灵敏度和可靠性低。

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