%0 Journal Article
%T An optimized 3D-printed capsule scaffold utilizing artificial neural network for the targeted delivery of chlorogenic acid to the colon.
%A Wang Y
%A Chen H
%A Liu Q
%A Zhao R
%A Liu W
%A Liu S
%A Zhang L
%A Hu H
%J Food Res Int
%V 174
%N 0
%D 2023 12
%M 37986469
%F 7.425
%R 10.1016/j.foodres.2023.113612
%X 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.