Improved single particle ICP-MS assessment using a novel Python-based data processing algorithm (Sparta) for nanoparticle quantification
The novel Python-based spICP-MS data processing algorithm ‘Sparta’ is presented and benchmarked against existing software for characterising nanoparticles (NPs) in terms of element-specific mass, size, and particle number concentration (PNC).
Authors
- Marı́a Montes-Bayón (ORCID: https://orcid.org/0000-0001-6114-9405)
- Steffen Hellmann (ORCID: https://orcid.org/0000-0001-7927-9240)
- Teba Gil-Díaz (ORCID: https://orcid.org/0000-0003-2320-2708)
- Mario Corte‐Rodríguez (ORCID: https://orcid.org/0000-0003-0109-4101)
- D. Merten (ORCID: https://orcid.org/0000-0002-8596-2828)
- Thorsten Schaefer
Institutions
- Karlsruhe Institute of Technology (DE)
- Universidad de Oviedo (ES)
- Max Planck Institute for Biogeochemistry (DE)
- Instituto de Investigación Sanitaria del Principado de Asturias (ES)
- Friedrich Schiller University Jena (DE)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1039/d5ja00285k
- Primary Topic
- Nanoparticles: synthesis and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Futurum - Akademin för Hälsa och Vård, Region Jönköpings läns