scholarly journals Determining magnetic nanoparticle size distributions from thermomagnetic measurements

2010 ◽  
Vol 96 (22) ◽  
pp. 222506 ◽  
Author(s):  
R. S. DiPietro ◽  
H. G. Johnson ◽  
S. P. Bennett ◽  
T. J. Nummy ◽  
L. H. Lewis ◽  
...  
Keyword(s):  
Magnetic Nanoparticle ◽  
Nanoparticle Size ◽  
Size Distributions

scholarly journals Response to “Comment on ‘Determining magnetic nanoparticle size distributions from thermomagnetic measurements’ ” [Appl. Phys. Lett. 98, 216102 (2011)]

2011 ◽  
Vol 98 (21) ◽  
pp. 216103 ◽  
Author(s):  
R. S. DiPietro ◽  
H. G. Johnson ◽  
S. P. Bennett ◽  
T. J. Nummy ◽  
L. H. Lewis ◽  
...  
Keyword(s):  
Magnetic Nanoparticle ◽  
Nanoparticle Size ◽  
Size Distributions

scholarly journals Rapid hot-injection as a tool for control of magnetic nanoparticle size and morphology

RSC Advances ◽  
2021 ◽  
Vol 11 (34) ◽  
pp. 20708-20719
Author(s):  
Magdalena Kulpa-Greszta ◽  
Anna Tomaszewska ◽  
Andrzej Dziedzic ◽  
Robert Pązik
Keyword(s):  
Particle Shape ◽  
Magnetic Nanoparticle ◽  
Magnetic Particle ◽  
Nanoparticle Size ◽  
Precise Control ◽  
Hot Injection ◽  
Size And Morphology

Rapid hot-injection can be used for precise control of magnetic particle shape.

Fractal analysis as a complimentary technique for characterizing nanoparticle size distributions

2012 ◽  
Vol 226 ◽  
pp. 189-198 ◽  
Author(s):  
Vinod Kanniah ◽  
Peng Wu ◽  
Natalia Mandzy ◽  
Eric A. Grulke
Keyword(s):  
Fractal Analysis ◽  
Nanoparticle Size ◽  
Size Distributions

Modelling polydisperse nanoparticle size distributions as produced via flame spray pyrolysis

2020 ◽  
Vol 370 ◽  
pp. 116-128 ◽  
Author(s):  
Pedro Bianchi Neto ◽  
Florian Meierhofer ◽  
Henry França Meier ◽  
Udo Fritsching ◽  
Dirceu Noriler
Keyword(s):  
Spray Pyrolysis ◽  
Nanoparticle Size ◽  
Flame Spray Pyrolysis ◽  
Flame Spray ◽  
Size Distributions

scholarly journals Information Entropy as a Reliable Measure of Nanoparticle Dispersity

2020 ◽  
Author(s):  
Niamh Mac Fhionnlaoich ◽  
Stefan Guldin
Keyword(s):  
Drug Delivery ◽  
Standard Deviation ◽  
Information Entropy ◽  
Nanoparticle Synthesis ◽  
Nanoparticle Size ◽  
Fundamental Importance ◽  
Size Distributions ◽  
Reliable Measure ◽  
User Friendly

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 illequipped 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 approach works equally well for mono-, poly- and heterodisperse populations and provides an unbiased route to evaluation and optimisation 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.

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