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 degrees 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 (R) FS 30D-sealed capsules (due to more cracks and voids) were faster than those of Eudragit (R) 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.