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Smart stimuli-responsive drug delivery systems based on cyclodextrin: A review
Bingren Tian1, Yumei Liu1, Jiayue Liu2
1College of Chemistry and Chemical Engineering, Xinjiang University, Urumchi, 830001, China.
Carbohydrate Polymers
|November 4, 2020
Summary
This review explores smart stimuli-responsive cyclodextrin-based drug delivery systems. These systems offer advanced therapeutic options by responding to various environmental triggers for targeted drug release.
Area of Science:
- Materials Chemistry
- Biomedical Engineering
- Pharmaceutical Sciences
Background:
- Drug delivery systems are evolving with advancements in materials chemistry and medicine.
- Stimuli-responsive systems offer targeted drug release based on environmental cues like pH, light, and temperature.
- Cyclodextrins are increasingly recognized for their potential in advanced drug delivery applications.
Purpose of the Study:
- To review recent research on smart stimuli-responsive drug delivery systems utilizing cyclodextrins.
- To classify and describe the characteristics of various cyclodextrin-based stimuli-responsive systems.
- To highlight the applications and discuss future prospects of these advanced drug delivery technologies.
Main Methods:
- Literature review of recent research in stimuli-responsive cyclodextrin-based drug delivery.
- Classification of drug delivery systems based on responsive stimuli (pH, light, temperature, etc.).
- Analysis of system characteristics, applications, and future trends.
Main Results:
- Cyclodextrins are effective tools for developing smart stimuli-responsive drug delivery systems.
- Various systems respond to specific triggers, enabling precise drug release.
- Diverse applications demonstrate the versatility and potential of these systems.
Conclusions:
- Smart stimuli-responsive cyclodextrin-based drug delivery represents a significant advancement in therapeutic strategies.
- Further research is needed to overcome current challenges and unlock the full potential of these systems.
- Future opportunities lie in optimizing system design and expanding their clinical applications.
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