Bioinspired core-shell silica nanoparticles monitoring extra- and intra-cellular drug release

Tengjisi,; Liu, Yun; Zou, Da; Yang, Guangze; Zhao, Chunxia

doi:10.1016/j.jcis.2022.05.099

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…The self-assembly of nanoparticles modified by surfactants can form an interfacial layer at water/oil and water/air interfaces, which has remarkable potential in a wide range of applications. ,,, As part of our previous studies, we introduced a novel interfacial characterization approach based on the standard deviation of experimental drop profiles from those calculated as best fit by the Laplace equation (STD) . In this study, we used this method to provide more information about the physical behavior of NPS complex monolayers at the two fluid interfaces.…”

Section: Discussionmentioning

confidence: 99%

“…Nanomaterial assemblies with tailored structural properties are designed to take advantage of such alterations. In this regard, NPs are designed to control the coalescence of bubbles and drops and to stabilize emulsions and foams. − Resulting Pickering emulsions and foams have a long list of applications in food technology, pharmaceuticals, cosmetology, and oil recovery. − Furthermore, in many biological media, such as the surface of blood cells, the interaction of NPs with surfactants, proteins, lipids, and even with cells and tissues is inevitable due to their nanosize and large surface-to-mass ratio. , Therefore, it is essential to increase our understanding of how the attachment of NP assemblies affects the interfacial properties.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Interfacial Structure of Self-Assembled Nanoparticle Layers: Use of Standard Deviation between Calculated and Experimental Drop Profiles as a Novel Method

Mahmoudvand,

Vatanparast,

Javadi

et al. 2024

Langmuir

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The self-assembly of nanoparticles (NPs) at interfaces is currently a topic of increasing interest due to numerous applications in food technology, pharmaceuticals, cosmetology, and oil recovery. It is possible to create tunable interfacial structures with desired characteristics using tailored nanoparticles that can be precisely controlled with respect to shape, size, and surface chemistry. To address these functionalities, it is essential to develop techniques to study the properties of the underlying structure. In this work, we propose an experimental approach utilizing the standard deviation of drop profiles calculated by the Laplace equation from experimental drop profiles (STD), as an alternative to the Langmuir trough or precise microscopic methods, to detect the initiation of closely packed conditions and the collapse of the adsorbed layers of CTAB-nanosilica complexes. The experiments consist of dynamic surface/ interfacial tension measurements using drop profile analysis tensiometry (PAT) and large-amplitude drop surface area compression/ expansion cycles. The results demonstrate significant changes in STD values at the onset of the closely packed state of nanoparticlesurfactant complexes and the monolayer collapse. The STD trend was explained in detail and shown to be a powerful tool for analyzing the adsorption and interfacial structuring of nanoparticles. Different collapse mechanisms were reported for NP monolayers at the liquid/liquid and air/liquid interfaces. We show that the interfacial tension (IFT) is solely dependent on the extent of interfacial coverage by nanoparticles, while the surfactants regulate only the hydrophobicity of the self-assembled complexes. Also, the irreversible adsorption of nanoparticles and the increasing number of adsorbed complexes after the collapse were observed by performing consecutive drop surface compression/expansion cycles. In addition to a qualitative characterization of adsorption layers, the potential of a quantitative calculation of the parameter STD such as the number of adsorbed nanoparticles at the interface and the distance between them at different states of the interfacial layer was discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Interfacial Structure of Self-Assembled Nanoparticle Layers: Use of Standard Deviation between Calculated and Experimental Drop Profiles as a Novel Method

Mahmoudvand,

Vatanparast,

Javadi

et al. 2024

Langmuir

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Design of Stimuli‐Responsive Peptides and Proteins

Yang

Gerstweiler

et al. 2022

Adv Funct Materials

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Stimuli‐responsive peptides and proteins are an exciting class of smart biomaterials for various applications and have received significant attention over the past decades. A wide variety of stimuli such as temperature, pH, ions, enzymes, magnetic field, redox, etc., are explored. This article provides a review of five intensively studied types of stimuli‐responsive peptides and proteins, their design principles and applications, including temperature‐, pH‐, light‐, metal ion‐, and enzyme‐responsive with an emphasis on the key design concepts and switch function. Moreover, typical examples of their applications are discussed to provide a better understanding of the design concept and underlying methodology. This review will facilitate and inspire future innovation toward new peptide‐ and protein‐based materials and their diverse applications.

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The role of surface modification in the interactions between CdTe quantum dots and ABC transporters in lung cancer cells

Zheng,

Yuan,

Arooj

et al. 2025

Food and Chemical Toxicology

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Bioinspired core-shell silica nanoparticles monitoring extra- and intra-cellular drug release

Cited by 7 publications

References 34 publications

Evaluation of Interfacial Structure of Self-Assembled Nanoparticle Layers: Use of Standard Deviation between Calculated and Experimental Drop Profiles as a Novel Method

Evaluation of Interfacial Structure of Self-Assembled Nanoparticle Layers: Use of Standard Deviation between Calculated and Experimental Drop Profiles as a Novel Method

Design of Stimuli‐Responsive Peptides and Proteins

The role of surface modification in the interactions between CdTe quantum dots and ABC transporters in lung cancer cells

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