AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (17.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

New approach for time-resolved and dynamic investigations on nanoparticles agglomeration

Neda Iranpour Anaraki1,2,3Amin Sadeghpour1,4Kamran Iranshahi4,5Claudio Toncelli4Urszula Cendrowska6Francesco Stellacci6Alex Dommann1,7Peter Wick2Antonia Neels1,3( )
Center for X-ray Analytics, Empa, Swiss Federal Laboratories for Materials Science and Technology, St. Gallen 9014, Switzerland
Laboratory of Particles-Biology Interactions, Empa, Swiss Federal Laboratories for Materials Science and Technology, St. Gallen 9014, Switzerland
Department of Chemistry, University of Fribourg, Chemin du Musée, Fribourg 1700, Switzerland
Laboratory for Biomimetic Membranes and Textiles, Empa, Swiss Federal Laboratories for Materials Science and Technology, St. Gallen 9014, Switzerland
Department of Environmental Systems Science, Swiss Federal Institute of Technology, ETH-Zurich, Zurich 8092, Switzerland
Institute of Materials, EPFL, Lausanne 1015, Switzerland
Cellular and Biomedical Sciences, Faculty of Medicine, University of Bern, Bern 3012, Switzerland
Show Author Information

Abstract

Nanoparticle (NP) colloidal stability plays a crucial role in biomedical application not only for human and environmental safety but also for NP efficiency and functionality. NP agglomeration is considered as a possible process in monodispersed NP colloidal solutions, which drastically affects colloidal stability. This process is triggered by changes in the physicochemical properties of the surrounding media, such as ionic strength (IS), pH value, or presence of biomolecules. Despite different available characterization methods for nanoparticles (NPs), there is a lack of information about the underlying mechanisms at the early stage of dynamic behaviors, namely changing in NP size distribution and structure while placing them from a stable colloidal solution to a new media like biological fluids. In this study, an advanced in situ approach is presented that combines small angle X-ray scattering (SAXS) and microfluidics, allowing label-free, direct, time-resolved, and dynamic observations of the early stage of NP interaction/agglomeration initiated by environmental changes. It is shown for silica NPs that the presence of protein in the media enormously accelerates the NP agglomeration process compared to respective changes in IS and pH. High IS results in a staring agglomeration process after 40 min, though, in case of protein presence in media, this time decreased enormously to 48 s. These time scales show that this method is sensitive and precise in depicting the dynamics of fast and slow NP interactions in colloidal conditions and therefore supports understanding the colloidal stability of NPs in various media concluding in safe and efficient NP designing for various applications.

Graphical Abstract

References

【1】
【1】
 
 
Nano Research
Pages 2847-2856

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Anaraki NI, Sadeghpour A, Iranshahi K, et al. New approach for time-resolved and dynamic investigations on nanoparticles agglomeration. Nano Research, 2020, 13(10): 2847-2856. https://doi.org/10.1007/s12274-020-2940-4
Topics:

1850

Views

81

Downloads

33

Crossref

N/A

Web of Science

34

Scopus

0

CSCD

Received: 13 April 2020
Revised: 16 June 2020
Accepted: 17 June 2020
Published: 05 October 2020
© The Author(s) 2020

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.