Murphy Kathleen R
Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg 41298, Sweden.
Department of Building and Environmental Technology, Lund University, Lund 22363, Sweden.
Environ Sci Technol. 2025 Aug 12;59(31):16430-16442. doi: 10.1021/acs.est.5c05408. Epub 2025 Jul 30.
The chemical structures of dissolved organic compounds in natural waters, including the degree of aromaticity, affect their physical, chemical, and biological properties and ultimately the fate of carbon in aquatic systems and during water treatment. Herein, a new fluorescence-based aromaticity index named ARIX is shown to link the composition of aquatic dissolved organic matter to its aromaticity across diverse aquatic systems in both bulk DOM and extracts. ARIX predicts SUVA, a widely used proxy of aromaticity, more accurately than the prevailing optical indices. It also predicts the percentage of polycyclic aromatic and polyphenolic molecular formulas determined by FT-ICR MS and the ratio of "humic substances" to "building blocks" fractions determined by LC-OCD, indicating that it is additionally a proxy of DOM molecular weight. In waterbodies exhibiting decoupling between DOC and absorbance linked to biogeochemical processing, DOC concentrations are more accurately predicted by using a multilinear model to account for interactions between light absorption and aromaticity. The results deliver new insights into widely discussed trends in DOM optical properties and the molecular structures underlying optical measurements in the aquatic milieu. They further represent an important step toward improved real-time monitoring of DOC concentration, reactivity, and fate.
天然水体中溶解有机化合物的化学结构,包括芳香性程度,会影响其物理、化学和生物学性质,并最终影响水生系统以及水处理过程中碳的归宿。在此,一种名为ARIX的基于荧光的新芳香性指数被证明能够将水生溶解有机物的组成与其在不同水生系统中整体溶解有机物(DOM)和提取物中的芳香性联系起来。ARIX比现有的光学指数更准确地预测了SUVA(一种广泛使用的芳香性替代指标)。它还能预测通过傅里叶变换离子回旋共振质谱(FT-ICR MS)测定的多环芳烃和多酚分子式的百分比,以及通过液相色谱-有机碳检测(LC-OCD)测定的“腐殖质”与“结构单元”组分的比例,这表明它还是DOM分子量的一个替代指标。在与生物地球化学过程相关的溶解性有机碳(DOC)和吸光度出现解耦的水体中,通过使用多线性模型来考虑光吸收和芳香性之间的相互作用,可以更准确地预测DOC浓度。这些结果为广泛讨论的DOM光学性质趋势以及水生环境中光学测量背后的分子结构提供了新的见解。它们还代表了朝着改进DOC浓度、反应性和归宿的实时监测迈出的重要一步。