Cholesterol Particle Interaction with the Surface of Blood Vessels

Raimondas Jasevičius ()
Additional contact information
Raimondas Jasevičius: Institute of Mechanical Science, Faculty of Mechanics, Vilnius Gediminas Technical University, Plytinės Str. 25, 10105 Vilnius, Lithuania

Mathematics, 2025, vol. 13, issue 11, 1-14

Abstract: A numerical experiment on the dynamics of the cholesterol particle is presented. This work is devoted to the analysis of how cholesterol accumulates on the surface of the blood vessel. To get acquainted with the effect of cholesterol accumulation in the vessel, it is important to understand the behavior of individual cholesterol particles. As a first step, the study is carried out by examining the ability of a particle of cholesterol to interact with the surface of the vessel, taking into account the influence of the action of various forces. For this, the experiment is divided into three parts, each of which is important for understanding how different forces act on the interaction of cholesterol with the surface of the vessel. To present the results of the motion of cholesterol particles, the figures of force, displacement, and time are provided. The results show the ability of cholesterol particles to interact and adhere to the blood vessel surface.

Keywords: cholesterol particle; mechanics; dynamics; blood vessel (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/13/11/1721/pdf (application/pdf)
https://www.mdpi.com/2227-7390/13/11/1721/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:13:y:2025:i:11:p:1721-:d:1662980

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().