Unknown

Dataset Information

0

Synthesis and Characterization of Superhydrophobic, Self-cleaning NIR-reflective Silica Nanoparticles.


ABSTRACT: Multifunctional coatings offer many advantages towards protecting various surfaces. Here we apply aggregation induced segregation of perylene diimide (PDI) to control the surface morphology and properties of silica nanoparticles. Differentially functionalized PDI was incorporated on the surface of silica nanoparticles through Si-O-Si bonds. The absorption and emission spectra of the resultant functionalised nanoparticles showed monomeric or excimeric peaks based on the amounts of perylene molecules present on the surface of silica nanoparticles. Contact angle measurements on thin films prepared from nanoparticles showed that unfunctionalised nanoparticles were superhydrophilic with a contact angle (CA) of 0°, whereas perylene functionalised silica particles were hydrophobic (CA?>?130°) and nanoparticles functionalised with PDI and trimethoxy(octadecyl)silane (TMODS) in an equimolar ratio were superhydrophobic with static CA?>?150° and sliding angle (SA)?

SUBMITTER: Sriramulu D 

PROVIDER: S-EPMC5099900 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Synthesis and Characterization of Superhydrophobic, Self-cleaning NIR-reflective Silica Nanoparticles.

Sriramulu Deepa D   Reed Ella Louise EL   Annamalai Meenakshi M   Venkatesan Thirumalai Venky TV   Valiyaveettil Suresh S  

Scientific reports 20161108


Multifunctional coatings offer many advantages towards protecting various surfaces. Here we apply aggregation induced segregation of perylene diimide (PDI) to control the surface morphology and properties of silica nanoparticles. Differentially functionalized PDI was incorporated on the surface of silica nanoparticles through Si-O-Si bonds. The absorption and emission spectra of the resultant functionalised nanoparticles showed monomeric or excimeric peaks based on the amounts of perylene molecu  ...[more]

Similar Datasets

| S-EPMC7057699 | biostudies-literature
| S-EPMC3657783 | biostudies-literature
| S-EPMC6968945 | biostudies-literature
| S-EPMC7331230 | biostudies-literature
| S-EPMC9198960 | biostudies-literature
| S-EPMC9989680 | biostudies-literature
| S-EPMC4683526 | biostudies-literature
| S-EPMC9079215 | biostudies-literature
| S-EPMC11359805 | biostudies-literature
| S-EPMC8659165 | biostudies-literature