An optimized 3D-printed capsule scaffold utilizing artificial neural network for the targeted delivery of chlorogenic acid to the colon

Yingsa Wang; Hongzhu Chen; Qiannan Liu; Ruixuan Zhao; Wei Liu; Shucheng Liu; Liang Zhang; Honghai Hu

doi:10.1016/j.foodres.2023.113612

An optimized 3D-printed capsule scaffold utilizing artificial neural network for the targeted delivery of chlorogenic acid to the colon

Food Res Int. 2023 Dec;174(Pt 1):113612. doi: 10.1016/j.foodres.2023.113612. Epub 2023 Oct 21.

Authors

Yingsa Wang¹, Hongzhu Chen², Qiannan Liu¹, Ruixuan Zhao¹, Wei Liu¹, Shucheng Liu³, Liang Zhang⁴, Honghai Hu⁵

Affiliations

¹ Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Comprehensive Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
² Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Comprehensive Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China; Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China.
³ Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China.
⁴ Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Comprehensive Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China. Electronic address: zhangliang19870314@163.com.
⁵ Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Comprehensive Key Laboratory of Agro-products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China. Electronic address: huhonghai@caas.cn.

PMID: 37986469
DOI: 10.1016/j.foodres.2023.113612

Abstract

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.

Keywords: 3D-printed capsule scaffold; Artificial neural network; Characterization; Chlorogenic acid; Controlled delivery; Fabrication; Releasing kinetics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Chlorogenic Acid* / chemistry
Colon*
Neural Networks, Computer
Printing, Three-Dimensional

Substances

methylmethacrylate-methacrylic acid copolymer
Chlorogenic Acid