A Method to Improve the Quality of Silica Nanoparticles (SNPs) over Increasing Storage Durations

Zihan Lu, Huw Owens (Corresponding)

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The Solvent Varying Technique (SVT) provides a simple method for the production of uniform batches of Silica Nanoparticles (SNPs) of a target average diameter. SNPs synthesized using the Solvent Varying Technique (SVT) have been observed to agglomerate over increasing storage times leading to an increase in average particle diameter. Since the particle diameters of the SNPs produced using the SVT may vary over increasing storage durations, the previous model, suggested by Gao et al, which is based on the diameter of the original SNPs is unreliable when predicting a target particle diameter using the initial volume of ethanol. A centrifuge and replacement of solvent method has been applied in this investigation to the SNP solutions created using the SV technique. This reduces the amount of unused reactants in the centrifuged colloidal suspensions, which further improves the quality of the SNPs and hence any subsequent photonic crystals. Post centrifuge and replace, the morphology of the centrifuged particles is more uniform than that of the original particles, which has been evaluated using SEM micrographs. The Face Centred Cubic (FCC) structures observed on the surface of the photonic crystals films have also been imaged using an SEM. A linear equation for the prediction of the SNP diameters for a given initial amount of ethanol is proposed based on the centrifuged SNP diameters. The particle diameter measurements for the new equation were recorded using a DLS instrument. The dispersion of the SNPs was also recorded using DLS. The morphology of the surface of the particles has been confirmed using TEM micrographs.
    Original languageEnglish
    JournalJournal of Nanoparticle Research
    Volume20
    Issue number213
    Early online date14 Aug 2018
    DOIs
    Publication statusPublished - Aug 2018

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