Machine learning: our future spotlight into single-particle ICP-ToF-MS analysis-Reference-Cited by-同舟云学术

Machine learning: our future spotlight into single-particle ICP-ToF-MS analysis

Published:2021 Issue:12 Volume:36 Page:2684-2694
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Holbrook Timothy Ronald¹,Gallot-Duval Doriane¹²,Reemtsma Thorsten¹³,Wagner Stephan¹^ORCID

Affiliation:

1. Helmholtz-Centre for Environmental Science, Department for Analytical Chemistry, Permoserstrasse 15, 04318 Leipzig, Germany

2. Nation Graduate School of Chemistry of Montpellier (ENSCM), 240 Avenue du Professeur Emile Jeanbrau, 34296 Montpellier, France

3. Department of Analytical Chemistry, University of Leipzig, Germany

Abstract

Using the multi-element capabilities of single-particle ICP-ToF-MS in combination with a laser ablation and machine learning algorithms, environmentally relevant road runoff samples were characterized.

Funder

Horizon 2020 Framework Programme

Helmholtz-Gemeinschaft

European Regional Development Fund

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/JA/D1JA00213A

Reference45 articles.

1. Single particle analysis of TiO2 in candy products using triple quadrupole ICP-MS

2. Single- and Multi-Element Quantification and Characterization of TiO2 Nanoparticles Released From Outdoor Stains and Paints

3. European Commission, Joint Research Centre, Institute for Energy and Transport , Non-exhaust Traffic Related Emissions – Brake and Tyre Wear PM , 2014

4. Brake Wear Particulate Matter Emissions

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