The Contribution of Endmembers to Mixtures of Leaf Leachates and Riverine DOM can be Determined by Measuring Their Size and Fluorescence Properties

C. W. Cuss, C. Guéguen
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Abstract

The molecular mass distribution (MMD) and fluorescence properties of dissolved organic matter (DOM) are important characteristics for tracing and predicting its pathways, processes, and fate in aquatic systems. For the first time, asymmetrical flow field-flow fractionation (AF4) with coupled absorbance and fluorescence detectors was used to determine the contribution of endmembers to three mixtures of leaf leachate and riverine DOM in various proportions. Parallel factor analysis (PARAFAC) and fractogram deconvolution were used to decompose and distinguish the size distributions and fluorescence excitation-emission matrices (EEMs) of mixture constituents. It was determined that: 1) Both size and optical properties were conservative tracers in mixtures; 2) Fractogram deconvolution was extremely helpful for discriminating endmember size properties; 3) The contributions of endmembers to overall DOC concentration were accurately estimated using both the proportion of a humic-like PARAFAC component (0.93 < R2 < 1.00), and the ratios of deconvoluted peaks (0.88 < R2 < 0.98). The fluorescence at the peak maximum of the MMD was lacking in protein-/polyphenol-like and microbial humic-like fluorescence compared to the whole sample (−11 ± 9 and −10 ± 7%, respectively); however, the contribution of endmembers to the MMD (A254) were also effectively predicted using both the proportion of a microbial humic-like PARAFAC component (0.91 < R2 < 0.98) and the ratio of deconvoluted peaks (0.94 < R2 < 0.98).
末端分子对叶片渗滤液和河流DOM混合物的贡献可以通过测量它们的大小和荧光性质来确定
溶解有机物(DOM)的分子质量分布(MMD)和荧光特性是追踪和预测其在水生系统中的途径、过程和命运的重要特征。首次采用非对称流场-流分馏法(AF4)结合吸光度和荧光检测器,测定了端元对三种不同比例的叶渗滤液和河流DOM混合物的贡献。采用平行因子分析(PARAFAC)和分形图反褶积法对混合组分的尺寸分布和荧光激发发射矩阵(EEMs)进行分解和区分。结果表明:1)粒径和光学性质在混合物中均为保守示踪剂;2)分形图反褶积对分辨端元尺寸性质有极大帮助;3)利用腐殖质样PARAFAC组分的比例(0.93 < R2 < 1.00)和反卷曲峰的比例(0.88 < R2 < 0.98)准确估算了端元对总DOC浓度的贡献。与整个样品相比,MMD峰值处的蛋白/多酚样荧光和微生物腐殖质样荧光缺失(分别为- 11±9和- 10±7%);然而,端元对MMD (A254)的贡献也可以通过微生物腐殖质样PARAFAC成分的比例(0.91 < R2 < 0.98)和反卷积峰的比例(0.94 < R2 < 0.98)来有效预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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