Controlled synthesis of SPION@SiO nanoparticles using design of experiments
The synthesis of single-core superparamagnetic iron oxide nanoparticles (SPIONs) coated with a silica shell of controlled thickness remains a challenge, due to the dependence on a multitude of experimental variables. Herein, we utilise design of experiment (DoE) to study the formation of SPION@SiO 2...
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Veröffentlicht in: | Materials advances 2022-07, Vol.3 (14), p.67-618 |
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Zusammenfassung: | The synthesis of single-core superparamagnetic iron oxide nanoparticles (SPIONs) coated with a silica shell of controlled thickness remains a challenge, due to the dependence on a multitude of experimental variables. Herein, we utilise design of experiment (DoE) to study the formation of SPION@SiO
2
nanoparticles (NPs)
via
reverse microemulsion. Using a 3
3
full factorial design, the influence of reactant concentration of tetraethyl orthosilicate (TEOS) and ammonium hydroxide (NH
4
OH), as well as the number of fractionated additions of TEOS on the silica shell was investigated with the aim of minimising polydispersity and increasing the population of SPION@SiO
2
NPs formed. This investigation facilitated a reproducible and controlled approach for the high yield synthesis of SPION@SiO
2
NPs with uniform silica shell thickness. Application of a multiple linear regression analysis established a relationship between the applied experimental variables and the resulting silica shell thickness. These experimental variables were similarly found to dictate the monodispersity of the SPION@SiO
2
NPs formed. The overall population of single-core@shell particles was dependent on the interaction between the number of moles of TEOS and NH
4
OH, with no influence from the number of fractionated additions of TEOS. This work demonstrates the complexity of the preparative method and produces an accessible and flexible synthetic model to achieve monodisperse SPION@SiO
2
NPs with controllable shell thickness.
A Design of Experiments approach was used to optimise synthesis of core@shell SPION@silica nanoparticles. Multiple linear regression analyses established relationships between the applied experimental variables and resulting particle properties. |
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ISSN: | 2633-5409 |
DOI: | 10.1039/d2ma00369d |