期刊
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
卷 34, 期 9, 页码 1900-1909出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/c9ja00186g
关键词
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资金
- Swiss National Science Foundation (SNSF) [200021 162870/1]
- Ambizione grant of the SNSF [PZ00P2_174061]
- Scientific Center for Optical and Electron Microscopy (ScopeM) of the Swiss Federal Institute of Technology ETHZ
- Swiss National Science Foundation (SNF) [PZ00P2_174061, 200021_162870] Funding Source: Swiss National Science Foundation (SNF)
Accurate separation of signals from individual nanoparticles (NPs) from background ion signals is decisive to correct sizing and number-concentration determinations in single-particle (sp) ICP-MS analyses. In typical sp-ICP-MS approaches, NP signals are identified via outlier analysis based on the assumption of normally distributed (i.e. Gaussian) or Poisson-distributed background signals. However, for sp-ICP-MS with a Time-of-Flight (TOF) mass spectrometer that digitizes MS signal by fast analog-to-digital conversion (ADC), the background ion signals are neither Gaussian nor Poisson. Instead, steady-state ion signals with ICP-TOFMS follow a compound Poisson distribution that reflects noise contributions from Poisson-distributed arrival of ions and gain statistics of microchannel-plate-based ion detection. Here, we characterize this compound Poisson distribution with Monte Carlo simulations to establish net critical values (L-C(ADC)) as detection decision levels for the discrimination of discrete NPs in sp-ICP-TOFMS analyses. We apply L-C(ADC) to the analysis of gold-silver core-shell nanoparticles (Au-Ag NPs), and compare these results to conventional sigma-based NP-detection thresholds. Additionally, we investigate how accurate modelling of the compound Poisson TOFMS signal distribution enables separation of overlapping background and NP distributions; we demonstrate accurate size measurement of 20 nm Au NPs that have mean signal intensity of less than four counts.
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