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Related Concept Videos

Modified-Release Drug Delivery Systems: Site-Targeted01:24

Modified-Release Drug Delivery Systems: Site-Targeted

Site-targeted drug delivery systems enhance therapeutic efficacy while minimizing systemic toxicity and treatment costs. Unlike conventional methods, these systems ensure precise drug delivery, improving bioavailability and reducing side effects. Targeted drug delivery is classified into three levels. First-order targeting directs drugs to the capillary beds of specific organs or tissues. Second-order targets specific cell types, such as tumor cells, using receptor-mediated interactions.
Site-Targeted Drug Delivery Systems: Polymeric Carriers01:24

Site-Targeted Drug Delivery Systems: Polymeric Carriers

Polymeric carriers enhance targeted drug delivery by increasing efficacy while minimizing off-target effects. These carriers comprise a biodegradable polymeric backbone integrated with functional elements that enable targeting, improve physicochemical properties, and regulate drug release.Targeting MechanismsThe targeting ability of polymeric carriers is mediated by a homing device, which is a molecular recognition component designed to selectively bind to specific tissues or cells. Monoclonal...

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Related Experiment Video

Updated: May 10, 2026

Targeted Plasma Membrane Delivery of a Hydrophobic Cargo Encapsulated in a Liquid Crystal Nanoparticle Carrier
10:16

Targeted Plasma Membrane Delivery of a Hydrophobic Cargo Encapsulated in a Liquid Crystal Nanoparticle Carrier

Published on: February 8, 2017

Coupled Particulate and Continuum Model for Nanoparticle Targeted Delivery.

Jifu Tan1, Shunqiang Wang, Jie Yang

  • 1Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, 18015.

Computers & Structures
|June 5, 2013
PubMed
Summary
This summary is machine-generated.

This study presents a combined model to predict nanoparticle distribution in blood vessels. The model links molecular binding to nanoparticle adhesion, enabling faster evaluation of drug delivery efficiency.

Keywords:
Brownian dynamicsadhesion kineticsconvection-diffusion-reaction modelnanoparticleparticulate-continuum coupled model

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Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles
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Published on: January 7, 2019

Related Experiment Videos

Last Updated: May 10, 2026

Targeted Plasma Membrane Delivery of a Hydrophobic Cargo Encapsulated in a Liquid Crystal Nanoparticle Carrier
10:16

Targeted Plasma Membrane Delivery of a Hydrophobic Cargo Encapsulated in a Liquid Crystal Nanoparticle Carrier

Published on: February 8, 2017

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles
10:12

Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles

Published on: January 7, 2019

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Nanotechnology

Background:

  • Nanoparticle (NP) distribution in vasculature is key for drug delivery efficiency.
  • Predicting NP transport requires understanding phenomena across multiple scales.

Purpose of the Study:

  • To develop a combined particulate and continuum model for NP transport and delivery.
  • To link molecular-level binding kinetics to macroscale NP distribution.

Main Methods:

  • Coupling ligand-receptor binding kinetics with Brownian dynamics for microscale NP binding.
  • Deriving an analytical formula for NP adhesion and detachment rates.
  • Integrating NP adhesion rates into a convection-diffusion-reaction model for macroscale transport.

Main Results:

  • The continuum model's binding results align well with the particulate model.
  • Investigated effects of shear rate, particle size, and vascular geometry on NP adhesion.
  • Analytical formula predictions showed good agreement with literature experimental data.

Conclusions:

  • The coupled model effectively links ligand-receptor dynamics to NP adhesion and macroscale delivery.
  • This model serves as a rapid prediction tool for NP distribution in complex vascular networks.