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首页> 外文期刊>Applied Spectroscopy: Society for Applied Spectroscopy >Excitation-Emission Matrix Fluorescence Spectroscopy for Natural Organic Matter Characterization: A Quantitative Evaluation of Calibration and Spectral Correction Procedures
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Excitation-Emission Matrix Fluorescence Spectroscopy for Natural Organic Matter Characterization: A Quantitative Evaluation of Calibration and Spectral Correction Procedures

机译:天然有机物表征的激发-发射矩阵荧光光谱:校准和光谱校正程序的定量评估

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摘要

The influence of different data collection procedures and of wavelength-dependent instrumental biases on fluorescence excitation-emission matrix (EEM) spectral analysis of aqueous organic matter samples was investigated. Particular attention was given to fluorescence contours (spectral shape) and peak fluorescence intensities. Instrumental bias was evaluated by independently applying excitation and emission correction factors to the raw excitation and emission data, respectively. The peak fluorescence intensities of representative natural organic matter and tryptophan were significantly influenced by the application of excitation and emission spectral correction factors and by the manner in which the raw data was collected. Humification and fluorescence indices were also influenced by emission correction factors but were independent of reference (excitation) intensity normalization or correction. EEM surface contours were dependent on normalization of the fluorescence intensity to the reference intensity but were not influenced by either excitation or emission spectral correction factors. Authors should be explicit in how excitation and emission spectral correction procedures are implemented in their investigations, which will help to facilitate intra-laboratory comparisons and data sharing.
机译:研究了不同数据收集程序和依赖于波长的仪器偏差对水性有机物样品的荧光激发-发射矩阵(EEM)光谱分析的影响。特别注意荧光轮廓(光谱形状)和峰值荧光强度。通过分别将激发和发射校正因子分别应用于原始激发和发射数据来评估仪器偏差。代表性的天然有机物和色氨酸的峰值荧光强度受激发和发射光谱校正因子的应用以及原始数据的收集方式的显着影响。增湿和荧光指数也受发射校正因子的影响,但与参考(激发)强度归一化或校正无关。 EEM表面轮廓取决于荧光强度对参考强度的归一化,但不受激发或发射光谱校正因子的影响。作者应明确指出在研究中如何实施激发和发射光谱校正程序,这将有助于促进实验室内部的比较和数据共享。

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