利用人工神经网络优化的3d打印胶囊支架,用于将绿原酸靶向递送到结肠。

Yingsa Wang, Hongzhu Chen, Qiannan Liu, Ruixuan Zhao, Wei Liu, Shucheng Liu, Liang Zhang, Honghai Hu
{"title":"利用人工神经网络优化的3d打印胶囊支架,用于将绿原酸靶向递送到结肠。","authors":"Yingsa Wang, Hongzhu Chen, Qiannan Liu, Ruixuan Zhao, Wei Liu, Shucheng Liu, Liang Zhang, Honghai Hu","doi":"10.1016/j.foodres.2023.113612","DOIUrl":null,"url":null,"abstract":"<p><p>Chlorogenic acid (CGA) is an important bioactive polyphenol with extensive biological properties. This study aimed to fabricate an optimized three-dimensional (3D)-printed capsule scaffold and CGA capsules for targeted delivery of hydrophobic CGA to the colon. The optimized printing parameters identified using the neural network model were a temperature of 170 °C, a printing speed of 20 mm/s, and a nozzle diameter of 0.3 mm. The capsules exhibited slow releasing properties of CGA, and the releasing rates of Eudragit®FS 30D-sealed capsules (due to more cracks and voids) were faster than those of Eudragit®S100-sealed capsules. The Ritger-peppas model was the best fitting model to describe the releasing process of CGA from 8 CGA capsules (R<sup>2</sup> ≥ 0.98). All CGA capsules exhibited shear-thinning properties with stable sol-gel viscosity at low shear rates. FTIR spectra confirmed the formation of non-covalent bonds between CGA and the sol. Overall, the obtained 3D-printed capsules provided a promising carrier for the targeted delivery of CGA in the development of personalized dietary supplements.</p>","PeriodicalId":94010,"journal":{"name":"Food research international (Ottawa, Ont.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An optimized 3D-printed capsule scaffold utilizing artificial neural network for the targeted delivery of chlorogenic acid to the colon.\",\"authors\":\"Yingsa Wang, Hongzhu Chen, Qiannan Liu, Ruixuan Zhao, Wei Liu, Shucheng Liu, Liang Zhang, Honghai Hu\",\"doi\":\"10.1016/j.foodres.2023.113612\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Chlorogenic acid (CGA) is an important bioactive polyphenol with extensive biological properties. This study aimed to fabricate an optimized three-dimensional (3D)-printed capsule scaffold and CGA capsules for targeted delivery of hydrophobic CGA to the colon. The optimized printing parameters identified using the neural network model were a temperature of 170 °C, a printing speed of 20 mm/s, and a nozzle diameter of 0.3 mm. The capsules exhibited slow releasing properties of CGA, and the releasing rates of Eudragit®FS 30D-sealed capsules (due to more cracks and voids) were faster than those of Eudragit®S100-sealed capsules. The Ritger-peppas model was the best fitting model to describe the releasing process of CGA from 8 CGA capsules (R<sup>2</sup> ≥ 0.98). All CGA capsules exhibited shear-thinning properties with stable sol-gel viscosity at low shear rates. FTIR spectra confirmed the formation of non-covalent bonds between CGA and the sol. Overall, the obtained 3D-printed capsules provided a promising carrier for the targeted delivery of CGA in the development of personalized dietary supplements.</p>\",\"PeriodicalId\":94010,\"journal\":{\"name\":\"Food research international (Ottawa, Ont.)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food research international (Ottawa, Ont.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.foodres.2023.113612\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/10/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food research international (Ottawa, Ont.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.foodres.2023.113612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/21 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

绿原酸(CGA)是一种重要的生物活性多酚,具有广泛的生物学特性。本研究旨在制备一种优化的三维(3D)打印胶囊支架和CGA胶囊,用于将疏水CGA靶向递送到结肠。利用神经网络模型确定的优化打印参数为:打印温度170℃,打印速度20 mm/s,喷嘴直径0.3 mm。胶囊具有CGA缓释特性,Eudragit®FS 30d密封胶囊的释放速度(由于更多的裂缝和空隙)比Eudragit®s100密封胶囊更快。Ritger-peppas模型最适合描述8粒CGA胶囊中CGA的释放过程(R2≥0.98)。所有CGA胶囊在低剪切速率下具有稳定的溶胶-凝胶粘度,具有剪切减薄性能。FTIR光谱证实了CGA与溶胶之间形成了非共价键。总体而言,所获得的3d打印胶囊为个性化膳食补充剂开发中的CGA靶向递送提供了一个有希望的载体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimized 3D-printed capsule scaffold utilizing artificial neural network for the targeted delivery of chlorogenic acid to the colon.

Chlorogenic acid (CGA) is an important bioactive polyphenol with extensive biological properties. This study aimed to fabricate an optimized three-dimensional (3D)-printed capsule scaffold and CGA capsules for targeted delivery of hydrophobic CGA to the colon. The optimized printing parameters identified using the neural network model were a temperature of 170 °C, a printing speed of 20 mm/s, and a nozzle diameter of 0.3 mm. The capsules exhibited slow releasing properties of CGA, and the releasing rates of Eudragit®FS 30D-sealed capsules (due to more cracks and voids) were faster than those of Eudragit®S100-sealed capsules. The Ritger-peppas model was the best fitting model to describe the releasing process of CGA from 8 CGA capsules (R2 ≥ 0.98). All CGA capsules exhibited shear-thinning properties with stable sol-gel viscosity at low shear rates. FTIR spectra confirmed the formation of non-covalent bonds between CGA and the sol. Overall, the obtained 3D-printed capsules provided a promising carrier for the targeted delivery of CGA in the development of personalized dietary supplements.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信