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用分光光度法估算有机物的酸碱性质和电荷

Estimating the Acid-Base Properties and Electrical Charge of Organic Matter Using Spectrophotometry.

作者信息

Tesfa Marawit, Dia Aline, Mahé Fabrice, Janot Noémie, Marsac Rémi

机构信息

Univ. Rennes, CNRS, Géosciences Rennes-UMR 6118, F-35000 Rennes, France.

Univ. Rennes, CNRS, IRMAR-UMR 6625, F-35000 Rennes, France.

出版信息

Environ Sci Technol. 2023 Aug 15;57(32):12053-12062. doi: 10.1021/acs.est.3c04965. Epub 2023 Aug 1.

DOI:10.1021/acs.est.3c04965
PMID:37527409
Abstract

Spectrophotometric acid-base titration is a simple and powerful technique to evaluate the properties of proton binding sites of natural organic matter (NOM) at environmentally relevant concentrations. However, it is challenging to quantify the chemical charges () carried by NOM at these concentrations. Based on a previous work, which relates the variation of with the specific UV-vis differential absorbance (Δ) at a given wavelength (λ) and pH of a dissolved NOM sample, the present work proposes a method to investigate any NOM sample. It determines specific features in the absorbance spectra attributed to proton-inert chromophores () and to the deprotonation processes of carboxylic () and phenolic groups (). It enables to select sample-specific wavelength (λ), where both these functional groups significantly contribute to the variation of absorbance with pH. The linear regression analysis of vs for various NOM reference samples evidenced that the sample-specific slope () and intercept () were related to the intrinsic spectroscopic properties of the sample (, , and ). This approach can thus be used to approximate the values of the NOM samples at environmentally relevant concentrations: a pre-requisite for predicting the fate and behavior of metal ions in natural systems.

摘要

分光光度酸碱滴定法是一种简单而有效的技术,用于评估环境相关浓度下天然有机物(NOM)质子结合位点的性质。然而,在这些浓度下对NOM所带化学电荷( )进行量化具有挑战性。基于之前一项将 的变化与溶解的NOM样品在给定波长(λ)和pH值下的特定紫外可见差分吸光度(Δ)相关联的工作,本研究提出了一种研究任何NOM样品的方法。它确定了归因于质子惰性发色团( )以及羧基( )和酚基( )去质子化过程的吸收光谱中的特定特征。它能够选择样品特定波长(λ),在该波长下这两个官能团都对吸光度随pH值的变化有显著贡献。对各种NOM参考样品的 与 进行线性回归分析表明,样品特定斜率( )和截距( )与样品的固有光谱性质( 、 和 )相关。因此,这种方法可用于估算环境相关浓度下NOM样品的 值:这是预测天然系统中金属离子归宿和行为的一个先决条件。

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