Strontium isotopic composition is a potentially powerful tracer in studies of kimberlitic rocks but the results from even the most carefully collected and stringently prepared bulk‐rock samples are still hampered by contamination and alteration effects. Here we describe a LA‐MC‐ICP‐MS technique which can obtain accurate, high precision Sr i ratios from 50–150 μm kimberlitic groundmass perovskite without requiring time‐consuming mineral separation procedures. Since perovskite is a robust magmatic phase with an extremely low Rb/Sr ratio, the effects of late‐stage crustal contamination, post‐emplacement alteration and age correction are minimised and results are more representative of primary melt compositions, while additionally preserving powerful grain‐scale spatial and textural information. We demonstrate that the adopted protocol overcomes isobaric interferences from Kr + , Rb + , Er 2+ and Yb 2+ , and that Ca dimers and Ca argides do not detectably affect the quality of 87 Sr/ 86 Sr ratios produced. To illustrate the utility of the technique, contrasting bulk‐rock and in situ perovskite results from eleven Proterozoic kimberlites are documented.
With a half-life of 0.73 Myr, the 26Al-to-26Mg decay system is the most widely used short-lived chronometer for understanding the formation and earliest evolution of the solar protoplanetary disk. However, the validity of 26Al–26Mg ages of meteorites and their components relies on the critical assumption that the canonical 26Al/27Al ratio of ∼5 × 10−5 recorded by the oldest dated solids, calcium–aluminium-rich inclusions (CAIs), represents the initial abundance of 26Al for the solar system as a whole. Here, we report high-precision Mg-isotope measurements of inner solar system solids, asteroids, and planets demonstrating the existence of widespread heterogeneity in the mass-independent 26Mg composition (μ26Mg*) of bulk solar system reservoirs with solar or near-solar Al/Mg ratios. This variability may represent heterogeneity in the initial abundance of 26Al across the solar protoplanetary disk at the time of CAI formation and/or Mg-isotope heterogeneity. By comparing the U–Pb and 26Al–26Mg ages of pristine solar system materials, we infer that the bulk of the μ26Mg* variability reflects heterogeneity in the initial abundance of 26Al across the solar protoplanetary disk. We conclude that the canonical value of ∼5 × 10−5 represents the average initial abundance of 26Al only in the CAI-forming region, and that large-scale heterogeneity—perhaps up to 80% of the canonical value—may have existed throughout the inner solar system. If correct, our interpretation of the Mg-isotope composition of inner solar system objects precludes the use of the 26Al–26Mg system as an accurate early solar system chronometer.
We present a novel approach to creating compositional images using a module created for use with the freely distributed software package Iolite. The module creates images by synchronising the state of the laser (e.g., whether the laser is firing or not) and the position on the sample, which are recorded in laser log files, with concurrently collected mass spectrometer data. When these two data sources are synchronised, mass spectrometer data which are recorded temporally can then be displayed versus ablation position (i.e., spatially). Each mass spectrometer reading is then plotted as a circular spot representing the size of the area ablated. This approach has many advantages. CellSpace takes advantage of Iolite's ability to manipulate data from various mass spectrometers and to reduce data of different types. Laser ablation data can be plotted over other images, such as those produced by scanning electron microscopes, where the image has been transformed into cell coordinates using third party software. This allows the analyst to visualise laser ablation data in context and to correlate sample data from multiple sources and/or techniques. The code also has the advantage of averaging data spatially, rather than just temporally, and faithfully presents the data as a corresponding laser spot, rather than a simple rectangular pixel. Here we provide an example of a fish otolith, where trace element concentrations and Sr-isotopic compositions are overlain on microscope images, providing information on migration patterns that are applicable to population studies and fisheries conservation.
Correction for ‘Visualising mouse neuroanatomy and function by metal distribution using laser ablation-inductively coupled plasma-mass spectrometry imaging’ by Bence Paul et al., Chem. Sci., 2015, 6, 5383–5393.
Metals have a number of important roles within the brain. We used laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to map the three-dimensional concentrations and distributions of transition metals, in particular iron (Fe), copper (Cu) and zinc (Zn) within the murine brain. LA-ICP-MS is one of the leading analytical tools for measuring metals in tissue samples. Here, we present a complete data reduction protocol for measuring metals in biological samples, including the application of a pyramidal voxel registration technique to reproducibly align tissue sections. We used gold (Au) nanoparticle and ytterbium (Yb)-tagged tyrosine hydroxylase antibodies to assess the co-localisation of Fe and dopamine throughout the entire mouse brain. We also examined the natural clustering of metal concentrations within the murine brain to elucidate areas of similar composition. This clustering technique uses a mathematical approach to identify multiple 'elemental clusters', avoiding user bias and showing that metal composition follows a hierarchical organisation of neuroanatomical structures. This work provides new insight into the distinct compartmentalisation of metals in the brain, and presents new avenues of exploration with regard to region-specific, metal-associated neurodegeneration observed in several chronic neurodegenerative diseases.
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