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利用表面活性剂在纳米医学应用中的尼氏体的功能评价
Authors Gao S , Sui Z, Jiang Q , Jiang Y
Received 30 May 2024
Accepted for publication 15 September 2024
Published 10 October 2024 Volume 2024:19 Pages 10283—10305
DOI https://doi.org/10.2147/IJN.S480639
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Eng San Thian
Shuqi Gao,1,2,* Zhe Sui,3,* Qian Jiang,1,2 Yueyao Jiang1
1Department of Pharmacy, China–Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People’s Republic of China; 2School of Pharmacy, Jilin University, Changchun, Jilin Province, 130021, People’s Republic of China; 3Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yueyao Jiang, Department of Pharmacy, China–Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People’s Republic of China, Tel +86 13844817007, Email jyy0705@jlu.edu.cn
Abstract: Niosomes are key nanocarriers composed of bilayer vesicles formed by non-ionic surfactants and cholesterol, offering advantages such as high physicochemical stability, biodegradability, cost-effectiveness, and low toxicity. This review discusses their significant role in drug delivery, including applications in anticancer therapy and vaccine delivery. It also highlights the impact of non-ionic surfactants on niosome formation, drug delivery pathways, and protein corona formation—a relatively underexplored topic. Furthermore, the application of artificial intelligence in optimizing niosome design and functionality is examined. Future research directions include enhancing formulation techniques, expanding application scopes, and integrating advanced technologies. This review provides comprehensive insights and practical guidance for advancing niosome-based drug delivery systems.
Keywords: niosomes, non-ionic surfactant, drug delivery systems, niosome functionalization