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Dispersion of natural nanomaterials in surface waters for better characterization of their physicochemical properties by AF4-ICP-MS-TEM

机译:AF4-ICP-MS-TEM的地表水中天然纳米材料的分散在表面水中的性质化学特性的更好表征

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Characterization and understanding of natural nanomaterials (NNMs) properties is essential to differentiate engineered nanomaterials (ENMs) from NNMs. However, NNMs in environmental samples typically occur as heteroaggregates with other particles, e.g., NNMs, ENMs, and larger particles. Therefore, there is a need to isolate NNMs into their primary particles to better characterize their physicochemical properties. Here, we evaluated the efficiency of sodium hydroxide, sodium oxalate, and sodium pyrophosphate to extract NNMs from surface waters. The extracted NNMs were characterized for total metal concentration by inductively coupled plasmamass spectrometry (ICP-MS) following full digestion; size distribution, elemental composition and ratios by flow-field flow fractionation (AF4)-ICP-MS: and morphology by transmission electron microscopy (TEM). Sodium pyrophosphate extraction resulted in the highest NNM concentration and the smallest NNM size distribution. Sodium hydroxide and sodium oxalate extraction generated heteroaggregates with a broad size distribution. The NNM extraction efficiency increased with extractant (sodium oxalate and sodium pyrophosphate) concentration. The concentration of metals in the sodium pyrophosphate-extracted NNMs compared to the total metal concentration was element-dependent and varied from as high as 80% for Cu, Zn, and Sr to as low as 5% for Al, Ti, and Nb. This study provides a simple protocol for NNM extraction from complex environmental samples and provides a better understanding of NNM physicochemical properties. The presented NNM extraction protocol forms the basis for ENM extraction from natural waters. (C) 2019 Elsevier B.V. All rights reserved.
机译:对天然纳米材料(NNMS)性质的表征和理解对于从NNMS区分工程化纳米材料(ENMS)至关重要。然而,环境样品中的NNM通常用作其他颗粒,例如NNMS,eNM和较大颗粒作为杂种聚糖。因此,需要将NNM分离成其主要颗粒以更好地表征其物理化学性质。在此,我们评估了氢氧化钠,草酸钠和焦磷酸钠的效率,从表面水中提取NNM。通过在完全消化后,通过电感耦合的纤维素光谱法(ICP-MS)表征萃取的NNMS的总金属浓度;通过流场流动分馏(AF4)-ICP-MS的尺寸分布,元素组成和比率:通过透射电子显微镜(TEM)和形态。焦磷酸钠萃取导致最高的NNM浓度和最小的NNM尺寸分布。氢氧化钠和草酸钠萃取产生杂种聚集,具有宽尺寸的分布。 NNM提取效率随萃取剂(草酸钠和焦磷酸钠)浓度而增加。与总金属浓度相比,与总金属浓度相比,焦磷酸钠萃取的NNM中的金属浓度是依赖性的,并且从Cu,Zn和Sr的高达> 80%变化为Al,Ti和Al,Ti和Al的低至<5% NB。该研究提供了一种来自复杂环境样品的NNM提取的简单方案,并提供了对NNM物理化学性质的更好理解。所呈现的NNM提取方案构成了自然水域eNM提取的基础。 (c)2019 Elsevier B.v.保留所有权利。

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