No abstract

This work evaluates the use of nanosecond laser ablation–multicollector inductively coupled plasma-mass spectrometry (ns-LA–MC-ICP-MS) for Fe isotopic analysis of glassy cosmic spherules. Several protocols for data acquisition from the transient signals were compared, with the integration method, i.e., isotope ratios obtained by dividing the corresponding signal intensities integrated over the selected signal segment, providing the best precision. The bias caused by instrumental mass discrimination was corrected for by a combination of internal correction using Ni as an internal standard (coming from a conebulized standard solution) and external correction using a matrix-matched standard. Laser spot size and repetition rate were adapted to match the signal intensities for sample and standard within ±10%. For in situ isotopic analysis, the precision of the δ56Fe values ranged between 0.02 and 0.11‰ (1 SD, based on 4 measurement sessions, each based on ablation along 5 lines for 30 s each) and 0.03–0.17‰ (SD, based on 3 measurement sessions) for glass reference materials and micrometeorites, respectively. Despite this excellent reproducibility, the variation of the isotope ratios along a single ablation line indicated isotopic inhomogeneity exceeding 1‰ in some micrometeorites. Isotopic analysis via pneumatic nebulization MC-ICP-MS, after sample digestion and chromatographic Fe isolation, was performed to validate the results obtained by in situ isotopic analysis, and good agreement was achieved between the δ-values obtained via both approaches and with those reported in literature for MPI-DING and USGS glass reference materials. Also for the glassy cosmic spherules, overall, there was a good match between the ns-LA–MC-ICP-MS and solution MC-ICP-MS results.

The combination of radiofrequency pulsed glow discharge (RF-PGD) analytical plasmas with time-of-flight mass spectrometry (TOFMS) has promoted the applicability of this ion source to direct analysis of innovative materials. In this sense, this emerging technique enables multi-elemental depth profiling with high depth resolution and sensitivity, and simultaneous production of elemental, structural, and molecular information. The analytical potential and trends of this technique are critically presented, including comparison with other complementary and well-established techniques (e.g. SIMS, GD-OES, etc.). An overview of recent applications of RF-PGD-TOFMS is given, including analysis of nano-structured materials, coated-glasses, photovoltaic materials, and polymer coatings.

The analysis of natural and anthropogenic nanomaterials (NMs) in the environment is challenging and requires methods capable to identify and characterise structures on the nanoscale regarding particle number concentrations (PNCs), elemental composition, size, and mass distributions. In this study, we employed single particle inductively coupled plasma-mass spectrometry (SP ICP-MS) to investigate the occurrence of NMs in the Melbourne area (Australia) across 63 locations. Poisson statistics were used to discriminate between signals from nanoparticulate matter and ionic background. TiO2-based NMs were frequently detected and corresponding NM signals were calibated with an automated data processing platform. Additionally, a method utilising a larger mass bandpass was developed to screen for particulate high-mass elements. This procedure identified Pb-based NMs in various samples. The effects of different environmental matrices consisting of fresh, brackish, or seawater were mitigated with an aerosol dilution method reducing the introduction of salt into the plasma and avoiding signal drift. Signals from TiO2- and Pb-based NMs were counted, integrated, and subsequently calibrated to determine PNCs as well as mass and size distributions. PNCs, mean sizes, particulate masses, and ionic background levels were compared across different locations and environments. Graphical abstract

Isotopic reference materials (IRMs) are crucial for securing accurate and precise isotope ratio measurements of non-traditional stable isotopic systems and for enabling comparison of isotope ratio data obtained at different labs.