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An enhancement approach of fluorescence signatures in excitation emission matrixes for water contaminant analysis

机译:用于水污染物分析的激发发射矩阵中荧光标记的增强方法

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Three-dimensional fluorescence spectroscopy has been widely used for the analysis of water contaminants. However, the problems of weak signals and overlapping fluorescence peaks remain unresolved. In this work, we studied the impact of absorption on the spectral shape of fluorescence and found that it is a major cause of overlapping peaks and weak signals. An approach is proposed to purify fluorescent signals and enhance fluorescence signatures based on the theory of fluorescence quantum yield. Using this theory, the problems of noise amplification and singularity points were identified, and an optimization algorithm was proposed related to Wiener filtering. For practical application to multiple compounds, three overlapping cases were discussed theoretically. The effectiveness of this procedure in subsequent parallel factor analysis was assessed and compared with original data by conducting experiments with six typical compounds and real water samples. The results indicate that overlapping along the excitation wavelength axis can be reduced despite the existence of multiple compounds, and the sensitivity of weak fluorescent signals can be significantly improved. The proposed method can enhance fluorescence signatures for the separation and analysis of fluorescent components in water contaminants. (C) 2019 Elsevier Ltd. All rights reserved.
机译:三维荧光光谱法已被广泛用于分析水污染物。但是,弱信号和荧光峰重叠的问题仍未解决。在这项工作中,我们研究了吸收对荧光光谱形状的影响,发现这是峰重叠和信号微弱的主要原因。基于荧光量子产率理论,提出了一种纯化荧光信号并增强荧光信号的方法。利用这一理论,确定了噪声放大和奇异点的问题,并提出了与维纳滤波有关的优化算法。为了实际应用于多种化合物,理论上讨论了三种重叠的情况。通过对六种典型化合物和实际水样进行实验,评估了该程序在后续并行因子分析中的有效性,并与原始数据进行了比较。结果表明,尽管存在多种化合物,也可以减少沿激发波长轴的重叠,并且可以显着提高弱荧光信号的灵敏度。所提出的方法可以增强荧光特征,以分离和分析水污染物中的荧光成分。 (C)2019 Elsevier Ltd.保留所有权利。

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