当前位置：
X-MOL 学术
›
Environ. Sci.: Nano
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Influential parameters of surface waters on the formation of coating on TiO2 nanoparticles under natural conditions
Environmental Science: Nano ( IF 5.8 ) Pub Date : 2021-09-06 , DOI: 10.1039/d1en00431j Narjes Tayyebi Sabet Khomami 1 , Parthvi Mayurbhai Patel 1 , Cynthia Precious Jusi 1 , Vanessa Trouillet 2 , Jan David 1 , Gabriele E. Schaumann 1 , Allan Philippe 1
Environmental Science: Nano ( IF 5.8 ) Pub Date : 2021-09-06 , DOI: 10.1039/d1en00431j Narjes Tayyebi Sabet Khomami 1 , Parthvi Mayurbhai Patel 1 , Cynthia Precious Jusi 1 , Vanessa Trouillet 2 , Jan David 1 , Gabriele E. Schaumann 1 , Allan Philippe 1
Affiliation
|
Formation of natural coatings on nanoparticles in aquatic media is highly influenced by the dynamic composition of the medium. Hundreds of research articles were dedicated to this question and an in-depth understanding of the underlying mechanisms has been obtained for some materials. Nonetheless, it is still unknown to which extent these results obtained under controlled conditions in the laboratory can be extrapolated to environmental conditions. In this study, we used the recently introduced dialysis bag method to expose n-TiO2 in situ to 18 surface waters with contrasting physicochemical parameters by varying the sampling location and season and characterized the resulting natural coatings. ATR-FTIR and 2D-IR spectroscopy (thermal perturbation), thermogravimetry, and X-ray photoelectron spectroscopy analyses of the exposed nanoparticles revealed clear differences in the composition of the natural coatings in the presence of both organic (carboxylate and aromatic groups) and inorganic (carbonate) components. Subsequently, multivariate data analysis (correlation matrix, principal component analysis, and random forest) was used to explore the relationships between surface water parameters and the composition of the natural coating; the results enabled us to identify pH, electrical conductivity, and Ca2+–Mg2+ concentration as the three most important parameters for predicting the composition of the natural coating of TiO2 nanoparticles.
中文翻译：
自然条件下地表水对TiO2纳米颗粒涂层形成的影响参数
水生介质中纳米颗粒上天然涂层的形成受介质动态组成的高度影响。数百篇研究文章专门针对这个问题，并且已经对某些材料的潜在机制有了深入的了解。尽管如此，在实验室受控条件下获得的这些结果在多大程度上可以外推到环境条件仍然未知。在这项研究中，我们使用最近引入的透析袋方法原位暴露 n-TiO 2 通过改变采样位置和季节，对 18 个具有对比物理化学参数的地表水进行了分析，并表征了由此产生的天然涂层。暴露的纳米粒子的 ATR-FTIR 和 2D-IR 光谱（热扰动）、热重分析和 X 射线光电子能谱分析揭示了在有机（羧酸盐和芳族基团）和无机物存在下天然涂层的组成存在明显差异（碳酸盐）成分。随后，通过多元数据分析（相关矩阵、主成分分析和随机森林）探索地表水参数与天然涂层成分之间的关系；结果使我们能够确定 pH 值、电导率和 Ca 2+ –Mg 2+浓度是预测 TiO 2纳米粒子天然涂层组成的三个最重要的参数。
更新日期：2021-09-28
中文翻译：
自然条件下地表水对TiO2纳米颗粒涂层形成的影响参数
水生介质中纳米颗粒上天然涂层的形成受介质动态组成的高度影响。数百篇研究文章专门针对这个问题，并且已经对某些材料的潜在机制有了深入的了解。尽管如此，在实验室受控条件下获得的这些结果在多大程度上可以外推到环境条件仍然未知。在这项研究中，我们使用最近引入的透析袋方法原位暴露 n-TiO 2 通过改变采样位置和季节，对 18 个具有对比物理化学参数的地表水进行了分析，并表征了由此产生的天然涂层。暴露的纳米粒子的 ATR-FTIR 和 2D-IR 光谱（热扰动）、热重分析和 X 射线光电子能谱分析揭示了在有机（羧酸盐和芳族基团）和无机物存在下天然涂层的组成存在明显差异（碳酸盐）成分。随后，通过多元数据分析（相关矩阵、主成分分析和随机森林）探索地表水参数与天然涂层成分之间的关系；结果使我们能够确定 pH 值、电导率和 Ca 2+ –Mg 2+浓度是预测 TiO 2纳米粒子天然涂层组成的三个最重要的参数。
京公网安备 11010802027423号