Marta Hernández-Postigo, Armando Sánchez-Cachero, María Jiménez-Moreno, Rosa Carmen Rodríguez Martín-Doimeadios
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This alternative has mainly been applied for NP size characterisation but remains underexplored in modern ICP-MS and SP set-ups. Thus, the implementation of a revised version of IDA-SP-ICP-MS, including recent advances in quadrupole ICP-MS and SP data processing, which enables reliable NP sizing and counting, would be of utmost interest. In this work, this combination using the species-unspecific IDA mode has been investigated as an alternative to tackle matrix effect caused by complex matrices with platinum NPs as a case study. The optimum ionic tracer concentration has been evaluated for different PtNP sizes, resulting in a range of 500 to 1000 ng L<sup>−1</sup> due to differences in the mean NP signal. A valuable in-house spreadsheet for the data treatment has also been developed. 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In this work, this combination using the species-unspecific IDA mode has been investigated as an alternative to tackle matrix effect caused by complex matrices with platinum NPs as a case study. The optimum ionic tracer concentration has been evaluated for different PtNP sizes, resulting in a range of 500 to 1000 ng L<sup>−1</sup> due to differences in the mean NP signal. A valuable in-house spreadsheet for the data treatment has also been developed. 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引用次数: 0
摘要
单粒子电感耦合等离子体质谱(SP-ICP-MS)是金属纳米粒子(NP)浓度表征的有力工具,考虑到几个假设,也考虑到尺寸。然而,该技术面临着挑战,如固有矩阵效应,这在分析实际复杂样品时显著影响结果。这个问题对于SP-ICP-MS关键参数的计算至关重要,最终会改变最终结果。具有高计量质量的新型分析方法,如同位素稀释分析(IDA),可以通过提高具有挑战性的SP-ICP-MS场景中的信号辨别能力来克服这些限制。这种替代方案主要应用于NP大小表征,但在现代ICP-MS和SP设置中仍未得到充分探索。因此,IDA-SP-ICP-MS修订版的实施,包括四极ICP-MS和SP数据处理的最新进展,这将使可靠的NP大小和计数成为可能,将是最大的兴趣。在这项工作中,使用物种非特异性IDA模式的这种组合已被研究作为解决由复杂矩阵引起的基质效应的替代方案,并以铂NPs为例进行了研究。对不同PtNP尺寸的最佳离子示踪剂浓度进行了评估,由于平均NP信号的差异,其范围为500至1000 ng L−1。还为数据处理开发了一个有价值的内部电子表格。该方法不仅在环境样品(合成海水和天然海水)中成功地适用于测定30和50 nm PtNPs的大小和颗粒数浓度,而且首次在生物基质(如细胞培养基和人类尿液)中得到证实。图形抽象
Determination of size and particle number concentration of metallic nanoparticles using isotope dilution analysis combined with single particle ICP-MS to minimise matrix effects
Single particle inductively coupled plasma mass spectrometry (SP-ICP-MS) is a powerful tool for metallic nanoparticle (NP) characterisation in terms of concentration and, taking into account several assumptions, also size. However, this technique faces challenges, such as the intrinsic matrix effect, which significantly impact the results when analysing real complex samples. This issue is critical for the calculations of key SP-ICP-MS parameters ultimately altering the final outcomes. Novel analytical approaches with high metrological quality such as isotope dilution analysis (IDA) can overcome these limitations by improving signal discrimination in challenging SP-ICP-MS scenarios. This alternative has mainly been applied for NP size characterisation but remains underexplored in modern ICP-MS and SP set-ups. Thus, the implementation of a revised version of IDA-SP-ICP-MS, including recent advances in quadrupole ICP-MS and SP data processing, which enables reliable NP sizing and counting, would be of utmost interest. In this work, this combination using the species-unspecific IDA mode has been investigated as an alternative to tackle matrix effect caused by complex matrices with platinum NPs as a case study. The optimum ionic tracer concentration has been evaluated for different PtNP sizes, resulting in a range of 500 to 1000 ng L−1 due to differences in the mean NP signal. A valuable in-house spreadsheet for the data treatment has also been developed. The successful applicability of the methodology for determining the size and particle number concentration of 30 and 50 nm PtNPs has been demonstrated not only in environmental samples (synthetic and natural seawater), but also, for the first time, in biological matrices such as cell culture media and human urine.
期刊介绍:
As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.