» Articles » PMID: 21918592

Nanoparticle Brownian Motion and Hydrodynamic Interactions in the Presence of Flow Fields

Overview
Date 2011 Sep 16
PMID 21918592
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

We consider the Brownian motion of a nanoparticle in an incompressible Newtonian fluid medium (quiescent or fully developed Poiseuille flow) with the fluctuating hydrodynamics approach. The formalism considers situations where both the Brownian motion and the hydrodynamic interactions are important. The flow results have been modified to account for compressibility effects. Different nanoparticle sizes and nearly neutrally buoyant particle densities are also considered. Tracked particles are initially located at various distances from the bounding wall to delineate wall effects. The results for thermal equilibrium are validated by comparing the predictions for the temperatures of the particle with those obtained from the equipartition theorem. The nature of the hydrodynamic interactions is verified by comparing the velocity autocorrelation functions and mean square displacements with analytical and experimental results where available. The equipartition theorem for a Brownian particle in Poiseuille flow is verified for a range of low Reynolds numbers. Numerical predictions of wall interactions with the particle in terms of particle diffusivities are consistent with results, where available.

Citing Articles

Biosynthesis and Multifaceted Characterization of -Derived Silver Nanoparticles: An Eco-Friendly Approach for Biomedical Applications.

Irshad K, Akash M, Rehman K, Nadeem A, Shahzad A ACS Omega. 2024; 9(13):15383-15400.

PMID: 38585127 PMC: 10993374. DOI: 10.1021/acsomega.3c10119.


Hydrodynamic tearing of bacteria on nanotips for sustainable water disinfection.

Peng L, Zhu H, Wang H, Guo Z, Wu Q, Yang C Nat Commun. 2023; 14(1):5734.

PMID: 37714847 PMC: 10504294. DOI: 10.1038/s41467-023-41490-5.


Catalytic Nanomedicine as a Therapeutic Approach to Brain Tumors: Main Hypotheses for Mechanisms of Action.

Lopez-Goerne T, Padilla-Godinez F Nanomaterials (Basel). 2023; 13(9).

PMID: 37177086 PMC: 10180296. DOI: 10.3390/nano13091541.


Nanotechnology-Based RNA Vaccines: Fundamentals, Advantages and Challenges.

Pozharov V, Minko T Pharmaceutics. 2023; 15(1).

PMID: 36678823 PMC: 9864317. DOI: 10.3390/pharmaceutics15010194.


Multiscale modeling of protein membrane interactions for nanoparticle targeting in drug delivery.

Eckmann D, Bradley R, Kandy S, Patil K, Janmey P, Radhakrishnan R Curr Opin Struct Biol. 2020; 64:104-110.

PMID: 32731155 PMC: 7666034. DOI: 10.1016/j.sbi.2020.06.023.


References
1.
Ladd . Short-time motion of colloidal particles: Numerical simulation via a fluctuating lattice-Boltzmann equation. Phys Rev Lett. 1993; 70(9):1339-1342. DOI: 10.1103/PhysRevLett.70.1339. View

2.
Serrano M, Espanol P . Thermodynamically consistent mesoscopic fluid particle model. Phys Rev E Stat Nonlin Soft Matter Phys. 2001; 64(4 Pt 2):046115. DOI: 10.1103/PhysRevE.64.046115. View

3.
Muzykantov V . Biomedical aspects of targeted delivery of drugs to pulmonary endothelium. Expert Opin Drug Deliv. 2005; 2(5):909-26. DOI: 10.1517/17425247.2.5.909. View

4.
Muro S, Muzykantov V . Targeting of antioxidant and anti-thrombotic drugs to endothelial cell adhesion molecules. Curr Pharm Des. 2005; 11(18):2383-401. DOI: 10.2174/1381612054367274. View

5.
Munn L, Melder R, Jain R . Role of erythrocytes in leukocyte-endothelial interactions: mathematical model and experimental validation. Biophys J. 1996; 71(1):466-78. PMC: 1233497. DOI: 10.1016/S0006-3495(96)79248-2. View