Hyaluronic Acid-Functionalised Nanoparticle Characterization and Efficacy Data

Experimental data from the development and testing of hyaluronic acid-functionalised solid lipid nanoparticles for rheumatoid arthritis therapy. The dataset includes characterization results for optimised nanoparticles, such as a particle size of 412.8 nm and an entrapment efficiency of 94.6%, as well as ex vivo and in vivo efficacy studies in arthritic rats. The work was authored by Mangesh R. Bhalekar and last updated on 2026-05-19.

Use Cases

• Evaluating nanoparticle formulation efficacy based on reported particle size, zeta potential, and entrapment efficiency.
• Studying targeted drug delivery mechanisms based on described CD44 receptor-mediated uptake and endocytosis pathways.
• Analyzing therapeutic outcomes in preclinical models based on reported reductions in paw oedema and joint damage.
• Assessing pharmacokinetic parameters based on described lymphatic transport and systemic exposure studies.

Strengths

• Includes specific quantitative metrics for nanoparticle characterization, such as a particle size of 412.8 ± 0.71 nm and entrapment efficiency of 94.6 ± 0.49%.
• Describes a multi-faceted experimental validation including ex vivo intestinal uptake, in vivo pharmacokinetics, and therapeutic efficacy in an animal model.

Limitations

• The dataset is very small at 40.8 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Mangesh R. Bhalekar via figshare.

Collection Method

Nanoparticles were prepared by melt emulsification followed by probe sonication and optimised using a Box–Behnken design.

Freshness

Last updated 2026-05-19 19:09:19; freshness should be verified.