English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/219115
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Smartphone‐based colorimetric method to quantify iron concentration and to determine the nanoparticle size from suspensions of magnetic nanoparticles

AuthorsFernández-Afonso, Yilian; Salas, Gorka; Fernández-Barahona, Irene; Herranz, Fernando ; Grüttner, Cordula; Fuente, Jesús M. de la; Morales, M. P. ; Gutiérrez, Lucía
Issue Date2020
CitationParticle and Particle Systems Characterization 37(7): 2000032 (2020)
AbstractAdvanced uses of smartphones are changing lifestyles, and may have a great impact in materials science in the near future. In this work, the use of these devices to develop fast, simple, and cheap methods to characterize magnetic nanoparticle suspensions is tested. A series of dilutions of a wide library of magnetic nanoparticles, composed of iron oxide materials in the range between 3 and 43 nm, with two different shapes and four different coatings is prepared. The colloid color is analyzed using the RGB (red, green, blue) color model. Ratios of these parameters are correlated with the suspension iron concentration and with the nanoparticles average size. A linear relationship between the color (in particular the G/R ratio) and both the colloid iron content and the particles size is found. The link between these parameters allows the development of two new methods to determine either the concentration or the particle size of magnetic nanoparticle suspensions just by acquiring images from suspensions of iron oxide magnetic nanoparticles with a smartphone.
Publisher version (URL)https://doi.org/10.1002/ppsc.202000032
Appears in Collections:(IQM) Artículos
(ICMM) Artículos
(ICMA) Artículos
Files in This Item:
File Description SizeFormat 
RGBs- Revised Manuscript-2-enviar MC.pdf Embargoed until July 1, 20211,58 MBAdobe PDFThumbnail
View/Open    Request a copy
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.