Optimization Method for Developing Spectral Controlling Cosmetics: Application for Thermal Barrier Cosmetic

Gonome, Hiroki; Yamada, Jun

doi:10.3390/coatings8080286

Cited by 2 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, when the size of Au NPs on TiO 2 decreased from 15 to 5 nm, the peak red-shifted from 544 to 557 nm. The opposite peak shift shown by Au NPs on TiO 2 resulted from their interaction with the TiO 2 support, which has a higher refractive index (2.4–2.9 − ) than those of air and aqueous solutions (1.3–1.4). , For the NPs on SiO 2 , the corresponding peak also blue-shifted, but the difference (521–522 nm) was much smaller than that on TiO 2 . The large plasmon shift of the NPs on TiO 2 indicates a greater influence of TiO 2 , which causes the effective enhancement of plasmon excitation in small Au NPs.…”

Section: Resultsmentioning

confidence: 93%

“…The absorption of light scattered by each support depends on the scattering intensity of the metal oxide employed, which is determined by its refractive index. A metal oxide with a higher refractive index in the visible light range ( n TiO 2 = 2.4–2.9, − n Al 2 O 3 = 1.5–1.8, − n SnO 2 = 1.8–2.1, , n SiO 2 = 1.4–1.5 , ) enhances the plasmon absorption. This result reveals that plasmon absorption can be intensified by tuning the light scattered from the metal-oxide support.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing Plasmon Excitation of Small Au Nanoparticles via Light Scattering from Metal-Oxide Supports

2022

Self Cite

View full text Add to dashboard Cite

In this study, plasmonic excitation of small Au nanoparticles (NPs) deposited on metal-oxide supports (SiO 2 , Al 2 O 3 , SnO 2 , and TiO 2 ) with particle sizes adjusted to 15 ± 1 nm was analyzed. The plasmon intensity on the support increased in the order of SiO 2 , Al 2 O 3 , SnO 2 , and TiO 2 , and the intensity on TiO 2 was approximately 3−4 times higher than that on SiO 2 . Scanning transmission electron microscopy imaging revealed the formation of same-sized Au NPs on each support. In addition, Au NPs were located with sufficient spacing between them, preventing the coupling effect of multiple Au NPs. Ultraviolet−visible (UV−vis) measurements confirmed that the metal oxides with higher refractive indices scattered light more strongly. The scattering strength corresponded to the degree of plasmon enhancement induced by the support because a fraction of the light photons scattered by the support was absorbed by Au NPs. The enhancement effect of the support was more prominent for smaller Au NPs, indicating the formation of large-area contact between the Au NPs and the support material, and such a large-area contact is crucial for intensifying plasmon excitation.

show abstract

Section: Resultsmentioning

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Enhancing Plasmon Excitation of Small Au Nanoparticles via Light Scattering from Metal-Oxide Supports

2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…In particular, the detailed knowledge of the Particle Size Distribution (PSD) and Particle Size and Shape Distribution (PSSD) becomes an issue of extreme relevance when developing materials with advanced functionalities. This is for example the case of electroluminescent perovskites 9 , heterogeneous catalysts 10 , nanomaterials for optoelectronics 11 , photovoltaics 12 , drug delivery 13 , or in industrially relevant processes, such as filtration 14 , coating 15 , dyes and inks 16 , cosmetics 17 and active pharmaceutical ingredients formulation 18 .…”

Section: Introductionmentioning

confidence: 99%

Nanoparticle size distribution from inversion of wide angle X-ray total scattering data

Ferri

Bertolotti

Guagliardi

et al. 2020

Sci Rep

View full text Add to dashboard Cite

An increasingly important issue in nanoscience and nanotechnology is the accurate determination of nanoparticle sizing. Wide angle X-ray total scattering (WAXtS) data are frequently used to retrieve the particle Size Distributions (pSDs) of nanocrystals of highly technological relevance; however, the PSD shape typically relies on an a-priori assumption. Here, we propose a modified version of the classical iterative Lucy-Richardson (LR) algorithm, which is simple, fast and highly reliable against noise, and demonstrate that the inversion of WAXTS data can be profitably used for recovering accurate pSD regardless of its shape. computer simulations based on the use of the Debye Scattering equation (DSe) modelling WAXtS data show that the algorithm is capable of recovering accurate PSDs even when the sample is made of a mixture of different polymorphs and/or exhibits microstrain effects. When applied to the inversion of WAXTS data taken on real samples, the method requires accurate modelling of the nanoparticle crystal structure, which includes structural defects, microstrain and surface induced distortions. provided that this information is correctly fed to the program, the inversion algorithm reconstructs the WAXtS data with high accuracy and recovers highly robust (against noise) pSDs. two examples reporting the characterization of Magnetite-Maghemite and commercial P25-Titania nanopowders, are discussed. We demonstrate that pre-assumption of wrong pSD shape leads to inaccurate number-based average sizes in highly polydisperse samples. Nanoparticle sizing and nanoparticle structural characterization have become, over the last decades, topics of increasing interest due to their intimate relationship to nanoscience and nanotechnology 1-6. Nanoparticles or NanoCrystals (NCs) usually exhibit a crystalline or a partially ordered atomic arrangement, with local structural distortions, defects, and remarkable surface effects (due to their large surface area to volume ratio) that can be tailored by proper functionalization. All these structural features, together with the NCs morphology and size, determine their physical-chemical properties and, ultimately, their functionality 7,8. In particular, the detailed knowledge of the Particle Size Distribution (PSD) and Particle Size and Shape Distribution (PSSD) becomes an issue of extreme relevance when developing materials with advanced functionalities. This is for example the case of electroluminescent perovskites 9 , heterogeneous catalysts 10 , nanomaterials for optoelectronics 11 , photovoltaics 12 , drug delivery 13 , or in industrially relevant processes, such as filtration 14 , coating 15 , dyes and inks 16 , cosmetics 17 and active pharmaceutical ingredients formulation 18. Among the experimental techniques that deal with nanoparticle sizing, imaging and scattering optical methods are among the most popular ones. Imaging methods, such as confocal optical 19 or transmission electron 20 microscopy, work by analyzing individually each single particle and therefore provide ...

show abstract

Optimization Method for Developing Spectral Controlling Cosmetics: Application for Thermal Barrier Cosmetic

Cited by 2 publications

References 19 publications

Enhancing Plasmon Excitation of Small Au Nanoparticles via Light Scattering from Metal-Oxide Supports

Enhancing Plasmon Excitation of Small Au Nanoparticles via Light Scattering from Metal-Oxide Supports

Nanoparticle size distribution from inversion of wide angle X-ray total scattering data

Contact Info

Product

Resources

About