A Single-Step Digestion for the Quantification and Characterization of Trace Particulate Silica Content in Biological Matrices Using Single Particle Inductively Coupled Plasma-Mass Spectrometry.
A Single-Step Digestion for the Quantification and Characterization of Trace Particulate Silica Content in Biological Matrices Using Single Particle Inductively Coupled Plasma-Mass Spectrometry.
复制标题
使用单颗粒电感耦合等离子体质谱法对生物基质中痕量二氧化硅颗粒含量进行单步消解定量和表征。
DOI：
10.1007/s12011-022-03163-0
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发表时间：
2023
影响因子：
3.9
通讯作者：
Brown,JaredM
中科院分区：
文献类型：
--
作者：
Rogers,KeeganL;Brown,JaredM
无定形二氧化硅纳米颗粒(SiNPs)在食品、材料科学、化妆品和药品中的应用越来越多，这引发了人们对环境和人类健康潜在危害的质疑。尽管SiNPs通常被认为是良性的，但最近的研究表明，它在不同的细胞和动物模型中具有毒性。尽管它们的应用无处不在，但很少有人对它们进行定量分析。通常，用于分析硅和硅纳米粒子的方法困难、昂贵，需要使用危险的试剂，并且容易受到干扰。此外，复杂基质中硅纳米颗粒的表征需要大量的样品制备。为了解决这一问题，我们提出了一种测定生物基质中痕量SiNP含量的一步消解方法。在常规的电感耦合等离子体质谱(ICP-MS)分析中，生物样品通常需要用浓硝酸消解。我们发现，对于常规的电感耦合等离子体质谱，硅的检测下限(LLOD)太高，无法进行痕量分析。然而，我们发现SiNPs在强酸性pH下是稳定的；因此，浓缩的HNO3可以用来消化生物样品，而SiNPs保持完好。然后，通过单粒子电感耦合等离子体质谱分析，我们发现可以读取的最小SiNP的尺寸为185 nm。LLOD的浓度为0.032 ppb，粒度和浓度的日间变异性分别为2.5%和6.8%。利用这种方法，SiNPs在细胞颗粒和培养基中被准确地测量和计数。我们提出的方法可以用来准确地定量和表征各种生物基质中大于衍生LLOD的SiNPs(或聚集的SiNPs)，并将有助于确定SiNPs的暴露与人类和环境毒性之间的关系。
The increased use of amorphous silica nanoparticles (SiNPs) in food products, materials science, cosmetics, and pharmaceuticals has raised questions about potential hazards in the environment and in human health. Although SiNPs are generally thought to be benign, recent studies have demonstrated toxicity in different cell and animal models. Despite their ubiquitous use, SiNPs are rarely analyzed quantitatively. Often, the methods used to analyze silicon and SiNPs are difficult, costly, require the use of dangerous reagents, and are prone to interferences. Additionally, characterization of SiNPs in complex matrices requires extensive sample preparation. To address this, we propose a single-step digestion method for the determination of trace SiNP content in biological matrices. For conventional inductively coupled plasma-mass spectrometry (ICP-MS) analysis, biological samples are often digested with concentrated HNO3. We found that with conventional ICP-MS, lower limits of detection (LLOD) of silicon are too high for trace analysis. However, we found that SiNPs are stable at a strong acidic pH; thus, concentrated HNO3could be used to digest biological samples leaving SiNPs intact. Then, by analysis with single particle ICP-MS, we found that the smallest SiNP that could be read was 185 nm in size. The concentration for the LLOD was found to be 0.032 ppb with interday variability in sizing and concentration at 2.5% and 6.8% respectively. Utilizing this method, SiNPs were accurately sized and counted in cell pellets and media. Our proposed method can be used to accurately quantify and characterize SiNPs (or agglomerated SiNPs) larger than the derived LLOD in a variety of biological matrices and will assist in determining relationships between exposures of SiNPs and toxicity in humans and the environment.