天然高分子基角膜修复材料力学性能研究进展
Research progress on mechanical properties of natural polymer based corneal repair materials
刘杨 1张传蕾 1孔彦惠 1刘慧玉 1任天 2刘潇 2丁硕秋2
作者信息
- 1. 常州大学医学与健康工程学院,江苏常州 213164;常州大学药学院,江苏常州 213164
- 2. 常州大学医学与健康工程学院,江苏常州 213164
- 折叠
摘要
由于盲人数量庞大、可供移植的捐赠角膜供不应求,人工角膜逐渐成为研究热点,但人工角膜常因力学性能不足而发生植片撕裂,为克服这一问题,国内外研究者开展了一系列研究工作尝试改善人工角膜的力学性能.文章针对胶原蛋白、明胶、丝素蛋白以及壳聚糖这4类常见的天然高分子基角膜修复材料的力学性能相关进展进行了总结.结果发现,通过光交联、热交联等物理方法,1-乙基-3-(3-二甲基氨基丙基)碳二亚胺(EDC)/N-羟基琥珀酰亚胺(NHS)交联、京尼平或戊二醛交联等化学方法以及其他复合方法都可以显著提升角膜材料的力学性能,但这些方法仍存在一些不足之处.因此,进一步开发高质量人工角膜至关重要,文章通过归纳总结希望能够为角膜修复材料的力学性能提升研究提供一些参考和思路.
Abstract
Due to the large number of blind individuals and the shortage of donor corneas available for transplantation,artificial corneas have gradually become a research hotspot.However,artificial cor-neas often experience implant tearing due to insufficient mechanical properties.In order to solve this problem,researchers at home and abroad have tried to improve the mechanical properties of corneal repair materials by a series of research work.This paper summarizes the progress relating to the me-chanical properties of four common natural polymer-based corneal repair materials,namely collagen,gelatin,silk fibroin,and chitosan.The results show that physical methods such as photo-crosslinking and thermal crosslinking,chemical methods such as 1-(3-dimethylaminopropyl)-3-ethylcarbodiimide(EDC)/N-hydroxysuccinimide(NHS)crosslinking,genipine or glutaraldehyde crosslinking and other composite methods can significantly improve the mechanical properties of corneal materials,but these methods still have some shortcomings.Therefore,further development of high-quality artificial corne-as is crucial.It is hoped that the article can provide some reference and ideas for the study of impro-ving the mechanical properties of corneal repair materials through summarization.
关键词
角膜修复/天然高分子材料/组织工程/人工角膜/力学性能Key words
corneal repair/natural polymer material/tissue engineering/artificial cornea/mechanical properties引用本文复制引用
基金项目
国家自然科学基金资助项目(81900814)
江苏省科技厅自然科学基金面上资助项目(BK20171196)
浙江省重点研发计划资助项目(2020C03003)
出版年
2024
国家科技期刊平台
NSTL
万方数据