Work

Two-stage semi-supervised machine learning for classification of Ti-rich nanoparticles and microparticles measured by spICP-TOFMS

Year: 2025

Type: article

Abstract: An application of two-stage SSML model to classify individual Ti-containing particles via spICP-TOFMS analysis. With two-stage SSML, we demonstrate low false-positive rates (≤5%) and moderate particle recoveries for all measured particle types.

Source: Journal of Analytical Atomic Spectrometry

DOI: 10.1039/d5ja00108k

Authors: Raven L. Buckman Johnson, Hark Karkee, Alexander Gundlach-Graham

Institutions: Iowa State University, Tofwerk (Switzerland)

Language: English

Topic: Analytical chemistry methods development

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Colorado School of Mines, Iowa State University, Division of Chemistry

Awards: G149432327, G2580947887, G5986892838, G6671297155, CAREER: Development of a Measurement System to Quantify Natural and Anthropogenic Metal-Containing Nanoparticles in Environmental Samples