Related Experiment Video
Updated: Jul 10, 2025
Microgel-Extracellular Matrix Composite Support for the Embedded 3D Printing of Human Neural Constructs
Published on: May 5, 2023
An optimized 3D-printed capsule scaffold utilizing artificial neural network for the targeted delivery of chlorogenic
Yingsa Wang1, Hongzhu Chen2, Qiannan Liu1
1Institute 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.
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.
