spICP-MS准确定量多分散金纳米颗粒的颗粒数量浓度

Quantification of the Particle Number Concentration of Polydisperse Gold Nanoparticles Based on spICP-MS

  • 摘要: 建立了基于单颗粒电感耦合等离子体质谱(spICP-MS)法准确定量分析多分散金纳米颗粒(AuNPs)的颗粒数量浓度。以包含30 nm和60 nm AuNPs的多分散样品为研究对象,考察载气流速和采样深度对尺寸分辨率,以及采集时间和驻留时间对颗粒数量浓度测定结果的影响。研究表明:优化载气流速能显著改善尺寸分辨率,而采样深度的影响相对较小,在载气流速0.8 L/min、采样深度9 mm时,获得了最佳的尺寸分辨率;延长采集时间能有效降低测定结果的相对标准偏差(RSD),当采集时间增加至180 s时,多分散样品中30 nm和60 nm AuNPs颗粒数量浓度测定值的相对标准偏差降至5%以下(n=3);选取驻留时间为0.1 ms时,测定结果与配制值相符,且颗粒信号与离子信号的区分更加明显。在优化的条件下,粒径和颗粒数量浓度检出限分别为10 nm和49 NPs/g。采用本方法对不同混合比例的多分散样品进行定量分析,其测定结果与标准值相符,证明了方法的可靠性。将该方法应用于自来水、泉水和湖水中多分散纳米颗粒的定量测定,3种水样的加标回收率在80%~120%之间。本方法具有尺寸分辨率高、测量精密度好、离子干扰小等优点,可为环境基体中多分散纳米颗粒的定量测定提供方法参考。

     

    Abstract: A method based on single particle inductively coupled plasma mass spectrometry (spICP-MS) was established to accurately quantify the particle number concentration of polydisperse gold nanoparticles (AuNPs) sample with two sizes of 30 nm and 60 nm. The effect of carrier gas flow rate and sampling depth on the size resolution, as well as the effect of acquisition time and dwell time on the measured particle number concentration were investigated. The results showed that the optimized carrier gas flow rate could significantly improve the size resolution, while the impact of the sampling depth was relatively negligible. The highest size resolution was obtained when the carrier gas flow rate was 0.8 L/min and the sampling depth was 9 mm, and the extended acquisition time could effectively reduce the relative standard deviation (RSD) of the result. When the acquisition time was increased to 180 s, the particle number concentration of 30 nm and 60 nm AuNPs in the polydisperse sample was lower than 5% (n=3). When the dwell time was selected as 0.1 ms, the result was consistent with the prepared value, and the particulate and ionic Au could be entirely separated. Under the optimized conditions, the detection limits of particle size and particle number concentration were 10 nm and 49 NPs/g, respectively. The established method was employed successfully to quantify the polydisperse sample with different mixing ratios, and the results were consistent with the standard values, proving the reliability of the method. Finally, this method was successfully applied to tap water, spring water and lake water, and the recovery rates of the three water samples were satisfied in the range of 80%-120%. The method has the advantages of high size resolution, better precision and low ion interference, which is an accurate method for the quantification of polydisperse nanoparticles in the environmental matrix.

     

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