4.7 Article

Ferrihydrite nanoparticles entrapped in shear-induced multilamellar vesicles

期刊

JOURNAL OF COLLOID AND INTERFACE SCIENCE
卷 606, 期 -, 页码 1890-1896

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2021.09.192

关键词

Ferrihydrite; Lamellar phase; Vesicles; Shear-induced transition; Rheology; SAXS

向作者/读者索取更多资源

This study demonstrates the encapsulation of ferrihydrite (Fh) nanoparticles into multilamellar vesicle (MLV) state under specific conditions, with experimental evidence showing the influence of Fh nanoparticles on layered structures.
Hypothesis: Ferrihydrite (Fh) nanoparticles are receiving considerable scientific interest due to their large reactive surface areas, crystalline structures, and nanoparticle morphology. They are of great importance in biogeochemical processes and have the ability to sequester hazardous and toxic substances. Here, the working hypothesis was to entrap fractal-like Fh nanoparticles, with a radius of gyration of 6.2 nm and a primary building block of polydisperse spheres with a radius of 0.8 nm, in a shear-induced multilamellar vesicle (MLV) state using a 40 wt% polyethylene glycol dodecyl ether surfactant. Experiments: Small-and Wide-Angle X-ray scattering revealed the equilibrium state of the non-ionic pla-nar lamellar phase, the Fh dispersion, and their mixture. The MLV state was induced by using a shear flow in a Taylor-Couette geometry of a rheometer. Findings: The nonionic surfactant initially exhibited a lamellar gel phase with two distinct d-spacings of 11.0 and 9.7 nm, which collapsed into the MLV state under shear flow. The Fh nanoparticles induced bilayer attraction by suppressing lamellar layer undulations, decreasing the d-spacing. These results are helpful in the understanding of the relationship between nanoparticle size and nanoparticle-bilayers interactions and provides insight on Fh encapsulations in a kinetically stable MLVs state. (c) 2021 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据