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Title | Analysis of nanoparticles characteristics with TOPSIS for their manufacture optimization |
Authors |
Javanbakht, T.
|
ORCID | |
Keywords |
SPIONs chemical activity biological properties rheological properties TOPSIS industrial growth manufacturing engineering |
Type | Article |
Date of Issue | 2022 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/88997 |
Publisher | Sumy State University |
License | Creative Commons Attribution 4.0 International License |
Citation | Javanbakht T. (2022). Analysis of nanoparticles characteristics with TOPSIS for their manufacture optimization, Vol. 9(2), pp. C1-C8, doi: 10.21272/jes.2022.9(2).c1 |
Abstract |
The present study focuses on the comparative analysis of superparamagnetic iron oxide nanoparticles
(SPIONs) characteristics with the TOPSIS method. The prediction of the characteristics of SPIONs is required for
better manufacturing of these nanoparticles. Although the characteristics of these nanoparticles have been
investigated, no research has been done on their comparison in order to determine which one of their surface
functionalities would be more appropriate for their diverse applications. The objective of this study was to analyze
the characteristics of SPIONs without or with surface charge with a prediction model and TOPSIS in order to
determine the best nanoparticles. Moreover, the effect of inappropriate consideration of their cost criterion on their
ranks was explored with the modified TOPSIS. This analysis showed that the characteristics of SPIONs such as
antibiofilm activity, hemocompatibility, activity with hydrogen peroxide, rheological properties, and the labour of
their chemical synthesis could affect their ranking. Neutral SPIONs, negatively charged SPIONs, and positively
charged SPIONs were ranked as the first, second, and third candidates, respectively. However, the improvement of
the activity of positively charged SPIONs with hydrogen peroxide showed an increase to 0.3 instead of 0.2, which
resulted in a better rank of these nanoparticles in comparison with that of the same nanoparticles in the first analysis
series. One of the advantages of this study was to determine the impact of the characteristics of SPIONs on their
ranking for their manufacturing. The other advantage was getting the information for further comparative study of
these nanoparticles with the others. The results of this work can be used in manufacturing engineering and materials
science. |
Appears in Collections: |
Journal of Engineering Sciences / Журнал інженерних наук |
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