Chitosan-Based Particulate Carriers: Structure, Production and Corresponding Controlled Release
Pharmaceutics, ISSN: 1999-4923, Vol: 15, Issue: 5
2023
- 6Citations
- 27Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations6
- Citation Indexes6
- Captures27
- Readers27
- 27
- Mentions1
- News Mentions1
- 1
Most Recent News
New Findings Reported from University of Lorraine Describe Advances in Pharmaceutics (Chitosan-Based Particulate Carriers: Structure, Production and Corresponding Controlled Release)
2023 MAY 29 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Drug Daily -- Researchers detail new data in pharmaceutics. According to news
Review Description
The state of the art in the use of chitosan (CS) for preparing particulate carriers for drug delivery applications is reviewed. After evidencing the scientific and commercial potentials of CS, the links between targeted controlled activity, the preparation process and the kinetics of release are detailed, focusing on two types of particulate carriers: matrix particles and capsules. More precisely, the relationship between the size/structure of CS-based particles as multifunctional delivery systems and drug release kinetics (models) is emphasized. The preparation method and conditions greatly influence particle structure and size, which affect release properties. Various techniques available for characterizing particle structural properties and size distribution are reviewed. CS particulate carriers with different structures can achieve various release patterns, including zero-order, multi-pulsed, and pulse-triggered. Mathematical models have an unavoidable role in understanding release mechanisms and their interrelationships. Moreover, models help identify the key structural characteristics, thus saving experimental time. Furthermore, by investigating the close relation between preparation process parameters and particulate structural characteristics as well as their effect on release properties, a novel “on-demand” strategy for the design of drug delivery devices may be developed. This reverse strategy involves designing the production process and the related particles’ structure based on the targeted release pattern.
Bibliographic Details
MDPI AG
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