Cargando…
Mie scattering and microparticle-based characterization of heavy metal ions and classification by statistical inference methods
A straightforward method for classifying heavy metal ions in water is proposed using statistical classification and clustering techniques from non-specific microparticle scattering data. A set of carboxylated polystyrene microparticles of sizes 0.91, 0.75 and 0.40 µm was mixed with the solutions of...
Autores principales: | Klug, Katherine E., Jennings, Christian M., Lytal, Nicholas, An, Lingling, Yoon, Jeong-Yeol |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549965/ https://www.ncbi.nlm.nih.gov/pubmed/31218046 http://dx.doi.org/10.1098/rsos.190001 |
Ejemplares similares
-
An electrical analogy to Mie scattering
por: Caridad, José M., et al.
Publicado: (2016) -
Mie scatter spectra-based device for instant, contact-free, and specific diagnosis of bacterial skin infection
por: Sweeney, Robin E., et al.
Publicado: (2017) -
Contamination-resistant, rapid emulsion-based isothermal nucleic acid amplification with Mie-scatter inspired light scatter analysis for bacterial identification
por: Day, Alexander S., et al.
Publicado: (2021) -
Mie scatterers bring a resonator to an exceptional point
por: Hong, Kai, et al.
Publicado: (2023) -
Enhancement of Chiroptical Signals by Circular Differential Mie Scattering of Nanoparticles
por: Yoo, SeokJae, et al.
Publicado: (2015)