Mac Fhionnlaoich, N;
Guldin, S;
(2020)
Information Entropy as a Reliable Measure of Nanoparticle Dispersity.
Chemistry of Materials
10.1021/acs.chemmater.0c00539.
(In press).
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Abstract
Nanoparticle size impacts properties vital to applications ranging from drug delivery to diagnostics and catalysis. As such, evaluating nanoparticle size dispersity is of fundamental importance. Conventional approaches, such as standard deviation, usually require the nanoparticle population to follow a known distribution and are ill-equipped to deal with highly poly- or heterodisperse populations. Herein, we propose the use of information entropy as an alternative and assumption-free method for describing nanoparticle size distributions. This measure works equally well for mono-, poly-, and heterodisperse populations and represents an unbiased route to evaluation and optimization of nanoparticle synthesis. We provide an intuitive tool for analysis with a user-friendly macro and provide guidelines for interpretation with respect to known standards.
| Type: | Article |
|---|---|
| Title: | Information Entropy as a Reliable Measure of Nanoparticle Dispersity |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1021/acs.chemmater.0c00539 |
| Publisher version: | https://doi.org/10.1021/acs.chemmater.0c00539 |
| Language: | English |
| Additional information: | This is an open access article published under a Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
| Keywords: | Entropy, Nanoparticles, Particle size, Physical and chemical properties, Mathematical methods |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10096427 |
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