Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

2.0K
Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
2.0K
Site-Targeted Drug Delivery Systems: Polymeric Carriers01:24

Site-Targeted Drug Delivery Systems: Polymeric Carriers

109
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...
109

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of nanoparticle morphologies on property prediction using explainable AI.

Nanoscale horizons·2025
Same author

Fractal Characterization of Simulated Metal Nanocatalysts in 3D.

Small science·2025
Same author

Materials "Economatics": Combining Chemical, Financial, Environmental, and Social Factors Using Machine Learning.

ACS nano·2025
Same author

Property Prediction for Complex Compounds Using Structure-Free Mendeleev Encoding and Machine Learning.

Journal of chemical information and modeling·2024
Same author

Classification of battery compounds using structure-free Mendeleev encodings.

Journal of cheminformatics·2024
Same author

Complex Dispersion of Detonation Nanodiamond Revealed by Machine Learning Assisted Cryo-TEM and Coarse-Grained Molecular Dynamics Simulations.

ACS nanoscience Au·2023

Related Experiment Video

Updated: Mar 28, 2026

Manufacture and Drug Delivery Applications of Silk Nanoparticles
09:03

Manufacture and Drug Delivery Applications of Silk Nanoparticles

Published on: October 8, 2016

16.8K

Challenges in modelling nanoparticles for drug delivery.

Amanda S Barnard1

  • 1CSIRO Virtual Nanoscience Laboratory, 343 Royal Parade, Parkville, Victoria 3052, Australia.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|December 20, 2015
PubMed
Summary

Modeling challenges in nanoparticle applications, especially for drug delivery, persist despite advances. This study reviews methods to address issues like length-scale incompatibility and weak interactions, using nanodiamonds as an example.

More Related Videos

Facile Preparation of Internally Self-assembled Lipid Particles Stabilized by Carbon Nanotubes
09:47

Facile Preparation of Internally Self-assembled Lipid Particles Stabilized by Carbon Nanotubes

Published on: February 19, 2016

10.2K
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

8.1K

Related Experiment Videos

Last Updated: Mar 28, 2026

Manufacture and Drug Delivery Applications of Silk Nanoparticles
09:03

Manufacture and Drug Delivery Applications of Silk Nanoparticles

Published on: October 8, 2016

16.8K
Facile Preparation of Internally Self-assembled Lipid Particles Stabilized by Carbon Nanotubes
09:47

Facile Preparation of Internally Self-assembled Lipid Particles Stabilized by Carbon Nanotubes

Published on: February 19, 2016

10.2K
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

8.1K

Area of Science:

  • Condensed matter physics
  • Computational physics
  • Nanotechnology

Background:

  • Significant advances in theoretical condensed matter and computational physics.
  • Complexity and diversity of nanoparticles present modeling challenges.
  • Limitations in modeling impact various application domains differently.

Purpose of the Study:

  • To review methods for addressing modeling challenges in nanoparticle applications.
  • To highlight specific challenges in nanoparticle drug delivery.
  • To demonstrate solutions using nanodiamond-based drug delivery platforms.

Main Methods:

  • Review of existing and emerging computational techniques.
  • Application of simple methods and techniques to address modeling challenges.
  • Utilizing nanodiamonds as an exemplar for drug delivery applications.

Main Results:

  • Identified key challenges: length-scale incompatibility, weak interactions, solvation, thermochemical environment, and polydispersivity.
  • Demonstrated applicability of reviewed methods to nanodiamond drug delivery.
  • Highlighted the potential of data-driven sciences and new methods.

Conclusions:

  • Existing and emerging technologies, including data-driven sciences, can address many nanoparticle modeling challenges.
  • New methods are required for certain complex problems.
  • Nanodiamond-based drug delivery serves as a practical case study for these methods.