ReviewBiology methods & protocols2025
Engineered BSA nanoparticles: Synthesis, drug loading, and advanced characterization.
Review in Biology methods & protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Statistical optimization of chitosan-based synthesis strategies to generate albumin nanoparticles.Drug delivery and translational research · 2026Article
- BSA-Based Nanoparticles for Dual Loading of Pazopanib and Enzalutamide: Formulation Optimization and In Vitro Evaluation in Breast Cancer Cells.Pharmaceutics · 2026Article
- Bovine Colostrum-Derived Lactoferrin Nanoparticles as a Novel Platform for Improved Pulmonary Delivery of Osimertinib.Cell biochemistry and biophysics · 2026Article
- Antitumor Activity of All-Trans Retinoic Acid and Curcumin-Loaded BSA Nanoparticles Against U87 Glioblastoma Cells.Life (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bovine serum albumin (BSA) nanoparticles have attracted a lot of interest as biocompatible and biodegradable carriers for a range of pharmacological and biological uses. BSA nanoparticles have several advantages over other types of nanoparticles, including their ability to increase the stability and solubility of encapsulated drugs, their non-toxicity, and their ease of surface modification. Cancer treatment, immunological modulation, enzyme immobilization, controlled release systems, bioimaging, and theranostics are some of its potential applications. This protocol offers a detailed and accessible methodology for the synthesis, drug encapsulation, and characterization of albumin nanoparticles, with particular emphasis on reproducibility and adaptability. The synthesis uses the desolvation process and crosslinking with the compound glutaraldehyde for stability. The crosslinking ratio, pH, and BSA content are important factors that can be adjusted to control size, surface charge, and dispersity. The methods used for characterization are described in detail, including dynamic light scattering for particle size and zeta potential, transmission and scanning electron microscopy for morphology, Fourier-transform infrared spectroscopy, and nanoparticle tracking analysis for stability assessment. The stability of the nanoparticles was evaluated under physiologically relevant ionic and pH conditions by dispersing them in phosphate-buffered saline, providing insight into their colloidal behavior in a simulated physiological environment. This technique facilitates the design of functionalized BSA nanoparticles for certain biomedical and therapeutic applications by acting as a fundamental reference for researchers. This work promotes innovation in nanoparticle-based technology and advances the field by standardizing preparation and characterization techniques.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.