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Influence of dissolved organic carbon content on modelling natural organic matter acid-base properties

机译:溶解有机碳含量对模拟天然有机物酸碱性质的影响

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Natural organic matter (NOM) behaviour towards proton is an important parameter to understand NOM fate in the environment. Moreover, it is necessary to determine NOM acid-base properties before investigating trace metals complexation by natural organic matter. This work focuses on the possibility to determine these acid-base properties by accurate and simple titrations, even at low organic matter concentrations. So, the experiments were conducted on concentrated and diluted solutions of extracted humic and fulvic acid from Laurentian River, on concentrated and diluted model solutions of well-known simple molecules (acetic and phenolic acids), and on natural samples from the Seine river (France) which are not pre-concentrated. Titration experiments were modelled by a 6 acidic-sites discrete model, except for the model solutions. The modelling software used, called PROSECE (Programme d'Optimisation et de SpEciation Chimique dans l'Environnement), has been developed in our laboratory, is based on the mass balance equilibrium resolution. The results obtained on extracted organic matter and model solutions point out a threshold value for a confident determination of the studied organic matter acid-base properties. They also show an aberrant decreasing carboxylic/phenolic ratio with increasing sample dilution. This shift is neither due to any conformational effect, since it is also observed on model solutions, nor to ionic strength variations which is controlled during all experiments. On the other hand, it could be the result of an electrode troubleshooting occurring at basic pH values, which effect is amplified at low total concentration of acidic sites. So, in our conditions, the limit for a correct modelling of NOM acid-base properties is defined as 0.04 meq of total analysed acidic sites concentration. As for the analysed natural samples, due to their high acidic sites content, it is possible to model their behaviour despite the low organic carbon concentration.
机译:天然有机物对质子的行为是了解环境中NOM命运的重要参数。而且,在研究痕量金属与天然有机物的络合之前,有必要确定NOM的酸碱性质。这项工作着重于即使在低有机物浓度下,也可以通过精确而简单的滴定来确定这些酸碱性质的可能性。因此,对来自劳伦河的腐殖酸和黄腐酸的浓缩液和稀释液,著名的简单分子(乙酸和酚酸)的浓缩液和稀释液以及塞纳河(法国)的天然样品进行了实验。 )未预先集中的内容。滴定实验通过6个酸性位点离散模型进行建模,模型求解除外。我们在实验室中基于质量平衡平衡分辨率开发了称为PROSECE(程序优化和专业化环境)的建模软件。在提取的有机物和模型溶液上获得的结果指出了一个阈值,可以可靠地确定所研究的有机物的酸碱性质。它们还显示出随着样品稀释度的增加,羧酸/酚比例异常降低。这种变化既不是由于任何构象效应引起的,因为它也可以在模型溶液中观察到,也不是由于在所有实验中都受到控制的离子强度的变化。另一方面,这可能是在基本pH值下发生电极故障排除的结果,这种影响在酸性部位的总浓度较低时会放大。因此,在我们的条件下,对NOM酸碱性质进行正确建模的极限定义为所分析的酸性位点总浓度的0.04 meq。至于分析的天然样品,由于其高酸性位点,尽管有机碳浓度低,也可以对其行为进行建模。

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