Cyclodextrin-Containing Hydrogels: A Review of Preparation Method, Drug Delivery, and Degradation Behavior

Hydrogels possess porous structures, which are widely applied in the field of materials and biomedicine. As a natural oligosaccharide, cyclodextrin (CD) has shown remarkable application prospects in the synthesis and utilization of hydrogels. CD can be incorporated into hydrogels to form chemically or physically cross-linked networks. Furthermore, the unique cavity structure of CD makes it an ideal vehicle for the delivery of active ingredients into target tissues. This review describes useful methods to prepare CD-containing hydrogels. In addition, the potential biomedical applications of CD-containing hydrogels are reviewed. The release and degradation process of CD-containing hydrogels under different conditions are discussed. Finally, the current challenges and future research directions on CD-containing hydrogels are presented.

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Recent advances in supramolecular block copolymers for biomedical applications

Journal of Materials Chemistry B ◽

10.1039/d0tb01492c ◽

2020 ◽

Vol 8 (36) ◽

pp. 8219-8231

Author(s):

Wumaier Yasen ◽

Ruijiao Dong ◽

Aliya Aini ◽

Xinyuan Zhu

Keyword(s):

Block Copolymers ◽

Biomedical Applications ◽

Future Research ◽

Biological Applications ◽

Research Directions ◽

Recent Advances ◽

Future Research Directions ◽

Reversible Nature

Supramolecular block copolymers with a dynamically reversible nature and hierarchical microphase-separated structures can greatly enrich the library of pharmaceutical carriers and outline future research directions for biological applications.

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Research on Neural Style Transfer

Journal of Physics Conference Series ◽

10.1088/1742-6596/2079/1/012029 ◽

2021 ◽

Vol 2079 (1) ◽

pp. 012029

Author(s):

Xueyuan Liu

Keyword(s):

Neural Network ◽

Deep Learning ◽

Future Research ◽

Research Directions ◽

Style Transfer ◽

Qualitative And Quantitative ◽

Existing Problems ◽

Future Research Directions ◽

Application Prospects

Abstract The process of using CNN (Convolutional Neural Network) to blend the contents of a picture with different styles is called neural style transfer (NST). The purpose of this paper is to introduce current progress of NST, and introduce in detail the classification of the main NST algorithms based on deep learning, and make qualitative and quantitative comparisons of different algorithms, and then analyze the application prospects of image style migration in related fields, and finally summarize the existing problems and future research directions of NST.

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Recent Advances of Chitosan and its Derivatives in Biomedical Applications

Current Medicinal Chemistry ◽

10.2174/0929867326666190405151538 ◽

2020 ◽

Vol 27 (18) ◽

pp. 3023-3045 ◽

Cited By ~ 2

Author(s):

Fei Ding ◽

Jiawei Fu ◽

Chuang Tao ◽

Yanhua Yu ◽

Xianran He ◽

...

Keyword(s):

Biomedical Applications ◽

Future Research ◽

Hydroxyl Groups ◽

Amine Group ◽

Research Directions ◽

The Past ◽

Free Amine ◽

Natural Polysaccharide ◽

Free Amine Group ◽

Future Research Directions

Chitosan is the second-most abundant natural polysaccharide. It has unique characteristics, such as biodegradability, biocompatibility, and non-toxicity. Due to the existence of its free amine group and hydroxyl groups on its backbone chain, chitosan can undergo further chemical modifications to generate Chitosan Derivatives (CDs) that permit additional biomedical functionality. Chitosan and CDs can be fabricated into various forms, including Nanoparticles (NPs), micelles, hydrogels, nanocomposites and nano-chelates. For these reasons, chitosan and CDs have found a tremendous variety of biomedical applications in recent years. This paper mainly presents the prominent applications of chitosan and CDs for cancer therapy/diagnosis, molecule biosensing, viral infection, and tissue engineering over the past five years. Moreover, future research directions on chitosan are also considered.

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