hrvatski jezikClear Cookie - decide language by browser settings

How protein coronas determine the fate of engineered nanoparticles in biological environment

Capjak, Ivona; Šupraha Goreta, Sandra; Domazet Jurašin, Darija; Vinković Vrček, Ivana (2017) How protein coronas determine the fate of engineered nanoparticles in biological environment. Arhiv za higijenu rada i toksikologiju, 68 (4). pp. 245-253. ISSN 0004-1254

[img]
Preview
PDF - Published Version - article
Available under License Creative Commons Attribution.

Download (873kB) | Preview

Abstract

Nanomedicine is a booming medical field that utilises nanoparticles (NPs) for the development of medicines, medical devices, and diagnostic tools. The behaviour of NPs in vivo may be quite complex due to their interactions with biological molecules. These interactions in biological fluids result in NPs being enveloped by dynamic protein coronas, which serve as an interface between NPs and their environment (blood, cell, tissue). How will the corona interact with this environment will depend on the biological, chemical, and physical properties of NPs, the properties of the proteins that make the corona, as well as the biological environment. This review summarises the main characteristics of protein corona and describes its dynamic nature. It also presents the most common analytical methods to study the corona, including examples of protein corona composition for the most common NPs used in biomedicine. This knowledge is necessary to design NPs that will create a corona with a desired efficiency and safety in clinical use.

Item Type: Article
Uncontrolled Keywords: hard corona ; nano-bio interface ; nanomedicine ; soft corona
Subjects: BIOMEDICINE AND HEALTHCARE > Basic Medical Sciences
Divisions: Division of Physical Chemistry
Depositing User: Darija Jurašin
Date Deposited: 19 Jan 2018 10:29
Last Modified: 19 Jan 2018 10:29
URI: http://fulir.irb.hr/id/eprint/3845
DOI: 10.1515/aiht-2017-68-3054

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year