Machine Learning Analysis to Classify Nanoparticles from Noisy spICP-TOFMS Data
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Analytical Atomic Spectrometry"
DOI: 10.1039/d3ja00081h
Abstract: Single-particle inductively coupled plasma time-of-flight mass spectrometry (spICP-TOFMS) is a promising method for the quantification and classification of anthropogenic and natural nanoparticle (NP) types based on measured multi-elemental compositions of... read more here.
Keywords: nanoparticles noisy; classify nanoparticles; analysis classify; machine learning ... See more keywords
Elemental Characterization of Leaded and Lead-Free Inorganic Primer Gunshot Residue Standards Using Single Particle Inductively Coupled Plasma Time-of-Flight Mass Spectrometry.
Sign Up to like & getrecommendations! Published in 2022 at "Applied spectroscopy"
DOI: 10.1177/00037028221142624
Abstract: This study describes the use of single particle inductively coupled plasma time-of-flight mass spectrometry (spICP-TOFMS) for the detection and classification of inorganic gunshot residue (IGSR) particles. To establish reliable multi-element criteria to classify IGSR particles,… read more here.
Keywords: lead free; spicp tofms; leaded lead; particle ... See more keywords