Dissolved organic matter (DOM) controls the degradation and sequestration of aquatic pollutants and, in turn, water quality. In particular, pollutant degradation is performed by oxidant species that are generated by exposure of DOM to solar light, yet, since DOM is a very complex mixture of poorly known substances, the relationships between potential oxidant precursors in DOM and their oxydative capacity is poorly known. Here, we hypothesized that production of oxidant species could be predicted using fluorescence analysis. We analysed water samples from an alluvial plain by fluorescence spectroscopy; the three-dimensional spectra were then decomposed into seven individual components using a multi-way algorithm. Components include a protein-like fluorophore, e.g. tryptophan-like and tyrosine-like, three humic fluorophores, 2-naphthoxyacetic acid, and a by-product. We compared component levels with the ability of water samples to generate reactive species under solar light. The results show a strong correlation between reactive species production and the intensity of two humic-like fluorophores assigned to reduced quinones. Monitoring these fluorophores should thus allow to predict the ability of DOM degradation of pollutants in surface waters.

溶解有机物（DOM）控制着水生污染物的降解和隔离，进而控制了水质。尤其是，污染物降解是通过将DOM暴露在太阳光下而产生的氧化剂来进行的，但是，由于DOM是由鲜为人知的物质组成的非常复杂的混合物，因此人们对DOM中潜在的氧化剂前体与其氧化能力之间的关系知之甚少。在这里，我们假设可以使用荧光分析预测氧化剂的产生。我们通过荧光光谱法分析了冲积平原的水样。然后使用多路算法将三维光谱分解为七个独立的分量。成分包括蛋白质样荧光团，例如色氨酸样和酪氨酸样，三种腐殖体荧光团，2-萘氧基乙酸，和副产品。我们将成分水平与水样在太阳光下产生反应性物种的能力进行了比较。结果表明，反应物种的产生与分配给还原的醌的两个腐殖质类荧光团的强度之间具有很强的相关性。因此，监测这些荧光团应该能够预测地表水中污染物的DOM降解能力。