Design, Development and Evaluation of Smart Drug Delivery System: Integrating Nanotechnology, Targeted Therapies and Responsive Material for Enhanced Therapeutic Efficacy and Precision Medicine
Year: 2025
Type: article
Abstract: Smart drug delivery systems (SDDS) are an innovative advancement in medicine, designed to make drug administration more accurate, efficient, and patient-friendly. Traditional drug delivery relied on basic forms like tablets, powders, or injections, but with progress in science, these have been replaced by controlled-release methods and, more recently, by intelligent systems built with nanotechnology and advanced materials. In these systems, drugs are loaded into carriers such as liposomes, nanoparticles, hydrogel, nanogels, nanotubes, or microneedles. These carriers protect the drug, improve how well it dissolves, keep it in the bloodstream longer, and ensure that it reaches the intended site in the body. Modern techniques used to develop SDDS include nanoengineering, receptor-based targeting, gene or peptide attachment, and stimuli-responsive mechanisms that can release drugs when triggered by internal body changes (like pH or enzymes) or external signals (such as heat, light, ultrasound, or magnetic fields). Their working principle is to deliver drugs only where needed for example, to a tumor so that the treatment is stronger at the target site while reducing unwanted side effects elsewhere. To test their safety and effectiveness, researchers perform laboratory and animal studies, checking properties like particle size, drug release rate, stability, compatibility with tissues, toxicity, drug distribution, and therapeutic benefit. Overall, SDDS represent a major shift in drug delivery approaches, paving the way for personalized medicine and advanced therapies for diseases like cancer, neurological conditions, and infections.
Author: Abhijeet Welankiwar*, Piyush Kubde
Language: English
Subfield: Biomaterials
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7091426485
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