Meisterjahn Boris, Neubauer Elisabeth, Von der Kammer Frank, Hennecke Dieter, Hofmann Thilo
Department of Environmental Geosciences, University of Vienna, Althanstr. 14 UZA II, 1090 Vienna, Austria; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany.
Department of Environmental Geosciences, University of Vienna, Althanstr. 14 UZA II, 1090 Vienna, Austria.
J Chromatogr A. 2014 Dec 12;1372C:204-211. doi: 10.1016/j.chroma.2014.10.093. Epub 2014 Nov 3.
Flow-Field-Flow Fractionation (Flow-FFF), coupled with online detection systems, is one of the most promising tools available for the analysis and characterization of engineered nanoparticles (ENPs) in complex matrices. In order to demonstrate the applicability of Flow-FFF for the detection, quantification, and characterization of engineered gold nanoparticles (AuNPs), model dispersions were prepared containing AuNPs with diameters of 30 or 100nm, natural nanoparticles (NNPs) extracted from a soil sample, and different concentrations of natural organic matter (NOM), which were then used to investigate interactions between the AuNPs and the NNPs. It could be shown that light scattering detection can be used to evaluate the fractionation performance of the pure NNPs, but not the fractionation performance of the mixed samples that also contained AuNPs because of specific interactions between the AuNPs and the laser light. A combination of detectors (i.e. light absorbance and inductively coupled plasma mass spectrometry (ICP-MS)) was found to be useful for differentiating between heteroaggregation and homoaggregation of the nanoparticles (NPs). The addition of NOM to samples containing 30nm AuNPs stabilized the AuNPs without affecting the NP size distribution. However, fractograms for samples with no added NOM showed a change in the size distribution, suggesting interactions between the AuNPs and NNPs. This interpretation was supported by unchanged light absorption wavelengths for the AuNPs. In contrast, results for samples containing 100nm AuNPs were inconclusive with respect to recovery and size distributions because of problems with the separation system that probably related to the size and high density of these nanoparticles, highlighting the need for extensive method optimization strategies, even for nanoparticles of the same material but different sizes.
与在线检测系统联用的流场流分馏技术(Flow-FFF)是分析和表征复杂基质中工程纳米颗粒(ENP)最具前景的工具之一。为了证明Flow-FFF在检测、定量和表征工程金纳米颗粒(AuNP)方面的适用性,制备了模型分散液,其中包含直径为30或100nm的AuNP、从土壤样品中提取的天然纳米颗粒(NNP)以及不同浓度的天然有机物(NOM),然后用于研究AuNP与NNP之间的相互作用。结果表明,光散射检测可用于评估纯NNP的分馏性能,但不能用于评估同时含有AuNP的混合样品的分馏性能,因为AuNP与激光之间存在特定相互作用。发现组合探测器(即吸光度和电感耦合等离子体质谱(ICP-MS))有助于区分纳米颗粒(NP)的异质聚集和同质聚集。向含有30nm AuNP的样品中添加NOM可使AuNP稳定,而不影响NP的尺寸分布。然而,未添加NOM的样品的分馏图显示尺寸分布发生了变化,表明AuNP与NNP之间存在相互作用。AuNP的光吸收波长不变支持了这一解释。相比之下,含有100nm AuNP的样品在回收率和尺寸分布方面的结果尚无定论,因为分离系统存在问题,这可能与这些纳米颗粒的尺寸和高密度有关,这突出表明即使对于相同材料但不同尺寸的纳米颗粒,也需要广泛的方法优化策略。