A Comprehensive Study on the Development of Stimuli-Responsive Smart Polymer Systems for Controlled Drug Delivery

Varleen Kaur, Dr. Ashish Narain Dubey · Ved International Publishing House · 2026

This study highlights the potential of multi-stimulus responsive smart polymers for enhanced drug delivery systems.

High AI ConfidenceStrong SourceUnknownReadiness Unknown

Plain English summary

This research investigates smart polymers that respond to environmental changes to control drug release. It reviews 87 studies on pH and temperature-responsive polymers, finding that those with dual responsiveness perform best in drug delivery efficiency and lower toxicity. The findings suggest these materials could significantly improve treatment options for various diseases.

Why this matters

The development of advanced drug delivery systems is crucial for improving treatment efficacy and patient outcomes in diseases like cancer and diabetes. By enhancing the control over drug release, these smart polymers could lead to more effective therapies with fewer side effects, making them important for both healthcare providers and patients.

Key findings

  • Multi-stimulus responsive polymers show better drug release profiles.
  • pH-responsive systems achieved 68-82% drug release efficiency.
  • Temperature-responsive systems had minimal burst release (<15%) at 37°C.
  • Dual-stimulus systems achieved 85-92% cumulative drug release.
  • Statistical analysis confirmed significant differences in release kinetics among polymer types.

What's new

The study systematically reviews and correlates the effectiveness of multi-stimulus responsive polymers for drug delivery, emphasizing their therapeutic potential.

Limitations

The study is based on a systematic review of existing literature and does not present original experimental data or clinical trials.

Commercial context

The abstract does not provide information on commercial availability or readiness.

Publication

Publisher
Ved International Publishing House
Publication date
August 4, 2026
Research type
Paper
License
https://creativecommons.org/licenses/by-nc-sa/4.0

Tags

More on Smart Materials

See all →
Smart Materialsnews· Jun 11, 2026

Scientists discover a strange property in rice and turn it into a smart material

A rice-derived, pressure-rate-dependent effect was used to engineer a material that automatically adapts stiffness to distinguish gentle motion from sudden impacts.

· ScienceDaily — MaterialsUnknown
Smart Materialspaper· Jun 4, 2026

Cytocompatible liquid crystal elastomer fibers for potential application as artificial skeletal or cardiac muscle

This research presents cytocompatible liquid crystal elastomer fibers that mimic muscle tissue, showing promise for artificial skeletal and cardiac muscle applications.

Lukas Benecke, Dilbar Aibibu +1 · Springer Science and Business Media LLCLaboratory Research
Smart Materialspreprint· May 19, 2026

Function, Complexity and Thermodynamics in Adaptive and Intelligent Soft Matter Systems: An Information-Theoretical Framework

An information-channel framework quantifies responsive, adaptive, and intelligent soft matter using three metrics and benchmark planes tied to thermodynamics and noise.

George S. Attard · arXivConcept
Smart Materialspreprint· May 18, 2026

Bidirectional Optical sensors for Actuation Tracking (BOAT) in soft lattice systems

The Bidirectional Optical sensor for Actuation Tracking (BOAT) enables precise monitoring of deformation in soft lattice structures used in robotics.

Petr Trunin, Carolina Gay +4 · arXivLaboratory Research
Smart Materialspaper· Mar 27, 2026

Stimuli-Responsive Smart Polymer: A Precise Era with Artificial Intelligence and Machine Learning

This review highlights the integration of AI and machine learning in the design of stimuli-responsive smart polymers for various applications.

Tamanna Pradhan, Subhajit Das +2 · American Chemical Society (ACS)Concept
Smart Materialspaper· Feb 13, 2026

Smart Material Technologies for Energy-Efficient Buildings in Iraq

Smart coatings can significantly enhance energy efficiency and reduce carbon emissions in residential buildings in hot climates.

Haider Alyasari, Zahraa Azzam +2 · MDPI AGSimulation
Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18