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A New Multielement Method for LA-ICP-MS Data Acquisition from Glacier Ice Cores.

Nicole E SpauldingSharon B SneedMichael J HandleyPascal BohleberAndrei V KurbatovNicholas J PearceTobias ErhardtPaul A Mayewski
Published in: Environmental science & technology (2017)
To answer pressing new research questions about the rate and timing of abrupt climate transitions, a robust system for ultrahigh-resolution sampling of glacier ice is needed. Here, we present a multielement method of LA-ICP-MS analysis wherein an array of chemical elements is simultaneously measured from the same ablation area. Although multielement techniques are commonplace for high-concentration materials, prior to the development of this method, all LA-ICP-MS analyses of glacier ice involved a single element per ablation pass or spot. This new method, developed using the LA-ICP-MS system at the W. M. Keck Laser Ice Facility at the University of Maine Climate Change Institute, has already been used to shed light on our flawed understanding of natural levels of Pb in Earth's atmosphere.
Keyphrases
  • climate change
  • mass spectrometry
  • multiple sclerosis
  • ms ms
  • heavy metals
  • high resolution
  • high throughput
  • machine learning
  • risk assessment
  • data analysis
  • deep learning