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Successive and automated stable isotope analysis of CO2 , CH4 and N2 O paving the way for unmanned aerial vehicle-based sampling.

Simon LeitnerRebecca Hood-NowotnyAndrea Watzinger
Published in: Rapid communications in mass spectrometry : RCM (2020)
Results from internal calibration and field sample analysis, as well as comparisons with similar measurement techniques, suggest that the method is applicable for the stable isotope analysis of these three important GHGs. In contrast to previously reported findings, the presented method enables successive analysis of all three GHGs from a single ambient atmospheric gas sample.
Keyphrases
  • particulate matter
  • room temperature
  • air pollution
  • magnetic resonance
  • machine learning
  • deep learning
  • carbon dioxide
  • magnetic resonance imaging
  • computed tomography
  • contrast enhanced
  • single cell
  • data analysis