可天然降解的聚己内酯基农药缓释微球
Naturally Degradable Sustained-release Microspheres of Polycaprolactone Loaded with Pesticide
雷萌萌 1陈舒怡 1孙玙璠 1陈静 1丁师杰1
作者信息
- 1. 淮阴工学院 化学工程学院/江苏省凹土资源利用重点实验室,江苏 淮安 223003
- 折叠
摘要
传统农药使用效期短,有效利用率低.为了实现"减施增效"的目标,提出了"农药缓释"的概念.目前市场上的微胶囊农药缓释剂产品,其囊材多为不可天然降解的合成高分子材料,完成活性成分释放后仍留在环境中,对环境污染严重.针对该问题,以可天然降解的高分子材料聚己内酯为载体、高效氯氰菊酯为药物模型,采用O/W溶剂挥发法,制备可天然降解的聚己内酯载高效氯氰菊酯缓释微球,研究溶剂挥发时间、离心速率、药物投放量对微球制备的影响.制得载药微球,载药量最高为49.60%、包封率最高为97.13%.药物缓释的整个过程没有明显的突释,且缓释时间较长,缓释效果明显.用Ritger-Peppas模型分析药物缓释动力学,结果表明该微球释放机理为药物扩散和骨架溶蚀扩散的结合.
Abstract
Traditional pesticides have a short shelf life and low effective utilization rate.In order to achieve the goal of"reducing application and increasing efficiency",the concept of"sustained-release pesticide"is proposed.At present,the sustained-release microcapsules of pesticide in the market are mostly made of synthetic polymer materials that cannot be naturally degraded.After the release of ac-tive ingredients,they still remain in the environment,causing serious pollution.To address this issue,by using polycaprolactone as the carrier and beta-cypermethrin as the drug model,naturally degradable sus-tained-release microspheres of polycaprolactone loaded with cypermethrin were prepared by O/W sol-vent evaporation method.The effects of solvent evaporation time,centrifugation rate,and drug dosage on the preparation of microspheres were investigated.The maximum drug loading and the maximum encap-sulation efficiency of the prepared microspheres were 49.60%and 97.13%,respectively.The entire pro-cess of drug sustained release did not show sudden release,with a fairly long sustained release time,in-dicating a significant sustained release effect.The Ritger-Peppas model was used to analyze the drug release kinetics,and the results showed that the release mechanism of the microspheres was a combina-tion of drug diffusion and skeleton dissolution diffusion.
关键词
聚己内酯/高效氯氰菊酯/O/W溶剂挥发/Ritger-Peppas模型Key words
polycaprolactone/beta-cypermethrin/O/W solvent evaporation method/Ritger-Peppas model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据