TY - GEN A1 - Schardt, Annika A1 - Schmitt, Johannes A1 - Engelhard, Carsten T1 - Cover image for the article "Single particle inductively coupled plasma mass spectrometry with nanosecond time resolution" N2 - Image for the front cover of the issue 39(2) of the JAAS (Journal of Analytical Atomic Spectrometry). See Annika Schardt et al., pp. 389–400. Image reproduced by permission of Annika Schardt, Johannes Schmitt and Carsten Engelhard. KW - Analytical chemistry KW - Nanoparticles KW - Single-particle characterization KW - Instrumentation KW - spICP-MS PY - 2024 DO - https://doi.org/10.1039/D4JA90005G SN - 1364-5544 SN - 0267-9477 VL - 39 IS - 2 SP - 295 PB - Royal Society of Chemistry (RSC) CY - Cambridge AN - OPUS4-62156 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schmitt, Johannes T1 - Data Acquisition System for Single Particle Inductively Coupled Plasma Mass Spectrometry (spICP-MS) with Nanosecond Time Resolution N2 - This study presents our data acquisition system prototype for spICP-MS with nanosecond time resolution (nanoDAQ) and a matching data processing approach for nanosecond resolved single particle spICP-MS data. The system continuously samples the secondary electron multiplier (SEM) detector signal with a dwell time of approximately 2 ns and enables the detection of gold nanoparticles (AuNP) as small as 7.5 nm[1] with a commercial single quadrupole ICP-MS instrument. The acquired transient data is processed based on the temporal distance between detector events and the event density. It was shown that the inverse logarithm of the distance between detector events is proportional to the particle size and that the number of detector events corresponding to a particle signal distribution can be used to calibrate and determine the particle number concentration (PNC) of a nanoparticle dispersion.[1] The high data acquisition frequency of the systems allows recording of a statistically significant number of data points in 60 s or less, which leads to the main time limitation for analyses being merely the sample uptake time and rinsing step between analyte solutions. T2 - 55th Annual Conference of the German Society for Mass Spectrometry CY - Freising, Germany DA - 10.03.2024 KW - Nanoparticles KW - Mass Spectrometry KW - Instrumentation KW - spICP-MS PY - 2024 AN - OPUS4-62315 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schardt, Annika T1 - Fast screening method for nanoparticles in surface waters via nanosecond spICP-MS and a tailored automated ion cloud recognition algorithm N2 - Single particle inductively coupled plasma mass spectrometry (spICP-MS) is a powerful technique for nanoparticle (NP) analysis in aqueous samples, which provides essential information on size distribution and particle number concentration (PNC) of nanometer-sized particles in various water samples for risk assessment and toxicity tests. In contrast to spectroscopic particle analysis methods, this mass spectrometry-based tool can provide chemical information on the elemental composition of NPs after minimal sample preparation. We recently presented a novel spICP-MS instrumentation and tailored software that acquires data with nanosecond time resolution, lowering the particle size detection limit to 7 nm for gold NP (1). The system directly samples the output signal of the electron multiplier and records the detection of individual ions with a time resolution of only a few nanoseconds. With nanosecond time resolution, we were able to visualize profiles of ion clouds that were produced from ionization of nanoparticles in the ICP on a single-ion basis and to use the temporal gap between those ions for particle sizing. Our latest improvement of the data acquisition system (nanoDAQ) features ca. 2 ns integration time and a matching processing software prototype, which automatically recognizes and counts ion clouds in the transient data. With this combination we achieved an experimentally determined size detection limit of ca. 5 nm for gold nanoparticles. A feasibility study shows that the nanoDAQ in combination with the ion cloud recognition algorithm succeeds in fast detection and counting of NP containing Ag, Ce, or Zr in waste water and surface water samples from the area of Siegen. PNCs ranged from ca. 7 x 106–2 x 108 particles/L, which is in good agreement with concentrations reported for similar water samples in the literature. T2 - 56th Annual Conference of the German Society for Mass Spectrometry (DGMS) CY - Göttingen, Germany DA - 04.03.2025 KW - Instrumentation KW - Mass Spectrometry KW - Nanoparticles KW - spICP-MS PY - 2025 AN - OPUS4-63662 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Hendriks, L. A1 - Brunjes, R. A1 - Taskula, S. A1 - Kocic, J. A1 - Hattendorf, B. A1 - Bland, G. A1 - Lowry, G. A1 - Bolea-Fernandez, E. A1 - Vanhaecke, F. A1 - Wang, J. A1 - Baalousha, M. A1 - von der Au, Marcus A1 - Meermann, Björn A1 - Holbrook, T. A1 - Wagner, S. A1 - Harycki, S. A1 - Gundlach-Graham, A. A1 - von der Kammer, F. T1 - Results of an interlaboratory comparison for characterization of Pt nanoparticles using single-particle ICP-TOFMS N2 - This study describes an interlaboratory comparison (ILC) among nine (9) laboratories to evaluate and validate the standard operation procedure (SOP) for single-particle (sp) ICP-TOFMS developed within the context of the Horizon 2020 project ACEnano. The ILC was based on the characterization of two different Pt nanoparticle (NP) suspensions in terms of particle mass, particle number concentration, and isotopic composition. The two Pt NP suspensions were measured using icpTOF instruments (TOFWERK AG, Switzerland). Two Pt NP samples were characterized and mass equivalent spherical sizes (MESSs) of 40.4 ± 7 nm and 58.8 ± 8 nm were obtained, respectively. MESSs showed <16% relative standard deviation (RSD) among all participating labs and <4% RSD after exclusion of the two outliers. A good agreement was achieved between the different participating laboratories regarding particle mass, but the particle number concentration results were more scattered, with <53% RSD among all laboratories, which is consistent with results from previous ILC studies conducted using ICP-MS instrumentation equipped with a sequential mass spectrometer. Additionally, the capabilities of sp-ICP-TOFMS to determine masses on a particle basis are discussed with respect to the potential for particle density determination. Finally, because quasi-simultaneous multi-isotope and multielement determinations are a strength of ICP-TOFMS instrumentation, the precision and trueness of isotope ratio determinations were assessed. The average of 1000 measured particles yielded a precision of below ±1% for intensity ratios of the most abundant Pt isotopes, i.e. 194Pt and 195Pt, while the accuracy of isotope ratios with the lower abundant isotopes was limited by counting statistics. KW - ILC KW - spICP-MS KW - PtNP KW - Nanopartikel PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-580353 DO - https://doi.org/10.1039/d3nr00435j SN - 2040-3364 VL - 15 IS - 26 SP - 11268 EP - 11279 PB - Royal Society of Chemistry (RSC) AN - OPUS4-58035 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Chronakis, Michail Ioannis A1 - Meermann, Björn A1 - von der Au, Marcus T1 - The evolution of data treatment tools in single-particle and single-cell ICP-MS analytics N2 - Single-particle inductively coupled plasma-mass spectrometry (sp-ICP-MS) is one of the most powerful tools in the thriving field of nanomaterial analysis. Along the same lines, single-cell ICP-MS (sc-ICP-MS) has become an invaluable tool in the study of the variances of cell populations down to a per-cell basis. Their importance and application fields have been listed numerous times, across various reports and reviews. However, not enough attention has been paid to the immense and ongoing development of the tools that are currently available to the analytical community for the acquisition, and more importantly, the treatment of single-particle and single-cell-related data. Due to the ever-increasing demands of modern research, the efficient and dependable treatment of the data has become more important than ever. In addition, the field of single-particle and single-cell analysis suffers due to a large number of approaches for the generated data—with varying levels of specificity and applicability. As a result, finding the appropriate tool or approach, or even comparing results, can be challenging. This article will attempt to bridge these gaps, by covering the evolution and current state of the tools at the disposal of sp-ICP-MS users. Graphical Abstract KW - Trend Article KW - spICP-MS KW - Data Tools KW - scICP-MS PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-610539 DO - https://doi.org/10.1007/s00216-024-05513-4 SP - 1 EP - 7 PB - Springer Science and Business Media LLC AN - OPUS4-61053 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -