Discrimination of constructed air samples using multivariate analysis of full scan membrane introduction mass spectrometry (MIMS) data.
Larissa C RichardsN G DaveyT M FylesChris G GillErik T KroghPublished in: Rapid communications in mass spectrometry : RCM (2018)
Chemometric techniques have been evaluated using full scan MIMS spectra with a series of VOC mixtures of known composition containing known compounds, and successfully applied to samples with known sources, but unknown molecular composition. These techniques have application to source identification and apportionment in real-world environmental samples impacted by atmospheric pollutants.
Keyphrases
- mass spectrometry
- computed tomography
- heavy metals
- particulate matter
- liquid chromatography
- wastewater treatment
- drinking water
- electronic health record
- data analysis
- ionic liquid
- high resolution
- air pollution
- health risk
- health risk assessment
- magnetic resonance
- capillary electrophoresis
- ms ms
- artificial intelligence
- single molecule
- dual energy
- gas chromatography
- bioinformatics analysis
- deep learning
- contrast enhanced