Optimization and Comprehensive Characterization of High-Stability Amygdalin Nanoliposomes Using Response Surface Methodology for Enhanced Oral Delivery

利用响应面法优化和全面表征高稳定性苦杏仁苷纳米脂质体以增强口服递送

阅读:1

Abstract

Amygdalin is a cyanogenic glycoside with clinically established antitussive, anti-inflammatory, and anticancer properties. Its translation into oral therapies is significantly hindered by its inherent oral bioavailability of less than 5% because of its high hydrophilicity, inadequate membrane permeability, and fast breakdown at gastric pH 1.2. In this study, we sought to develop an acid-resistant and intestine-targeted nanoliposome (AMY-NLs-1) to significantly improve the oral administration of amygdalin. The Box-Behnken response-surface optimization revealed the best formulation, with a lipid-to-cholesterol ratio of 3:1 (w/w), a lipid-to-amygdalin ratio of 20:1 (w/w), and an organic-to-aqueous phase volume ratio of 3:1 (v/v), yielding an encapsulation efficiency of 64.42 ± 0.15% and an amygdalin loading capacity of 3.75%. The AMY-NLs-1 demonstrated a mean particle size of 152 ± 1.23 nm, a PDI of 0.291, and a zeta potential of -53.1 ± 1.28 mV; the encapsulation efficiency was maintained at 61.97% after 15 days of storage at 4 °C in the dark. In vitro gastrointestinal release studies revealed less than 10% leakage in simulated gastric fluid within 2.5 h, followed by 65% cumulative release in simulated intestinal fluid over 8 h, indicating distinct pH-responsive behavior. For the first time, acid protection and intestine-targeted sustained release have been combined into a single nanocarrier created by a scalable one-step thin-film hydration technique, providing a versatile platform for the oral delivery of other highly water-soluble active compounds. A necessary oral dry weight of 15 g may be lowered by enhancing the drug-loading capacity or by concentrating the liposomal suspension.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。