A nano-SPR model for predicting the dissolution rate of metal and metal oxide nanomaterials in the aqueous environment

Introducing a novel nano-SPR model to predict the dissolution rate of metal/metal oxide ENMs by integrating nanoparticle and environmental properties.

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Publication Details

Journal
Green Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1039/d4gc06312k
Citations
2
Primary Topic
Nanoparticles: synthesis and applications
Type
article
Field-Weighted Citation Impact
1.04

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article

A nano-SPR model for predicting the dissolution rate of metal and metal oxide nanomaterials in the aqueous environment

Tomasz Puzyn, Michał Kalapus
2 citations
Green Chemistry
Nanoparticles: synthesis and applications
1.04
article

A nano-SPR model for predicting the dissolution rate of metal and metal oxide nanomaterials in the aqueous environment

Tomasz Puzyn, Michał Kalapus
article en
2 citations

Abstract

Introducing a novel nano-SPR model to predict the dissolution rate of metal/metal oxide ENMs by integrating nanoparticle and environmental properties.

Green ChemistryVol. 27(16)
University of Gdańsk (PL)
Narodowe Centrum Nauki
Openalex Percentile: Top 27%
Nanoparticles: synthesis and applications
1.04
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A nano-SPR model for predicting the dissolution rate of metal and metal oxide nanomaterials in the aqueous environment — Tomasz Puzyn, Michał Kalapus · Green Chemistry (2025) | TGRS Research Map | TGRS