Three-dimensional printing (3DP) is a revolutionary technology in pharmaceuticals, enabling the personalisation of flexible-dose drug products and 3D printed polypills (polyprintlets). A major barrier to entry of this technology is the lack of non-destructive quality control methods capable of verifying the dosage of multiple drugs in polyprintlets at the point of dispensing.In the present study, 3D printed films and cylindrical polyprintlets were loaded with flexible, therapeutic dosages of two distinct drugs (amlodipine and lisinopril) across concentration ranges of 1-5% w/w and 2-10% w/w, respectively. The polyprintlets were non-destructively analysed for dose content using a portable near infrared (NIR) spectrometer and validated calibration models were developed using partial least squares (PLS) regression, which showed excellent linearity (R 2 Pred = 0.997, 0.991), accuracy (RMSEP= 0.24%, 0.24%) and specificity (LV1= 82.77%, 79.55%) for amlodipine and lisinopril, respectively. X-ray powder diffraction (XRPD) and thermogravimetric analysis (TGA) showed that sintering partially transformed the phase of both drugs from the crystalline to amorphous forms. For the first time, we report a non-destructive, RTR quality control of two separate active ingredients in a single 3D printed drug product using NIR spectroscopy, overcoming a major barrier to the integration of 3D printing into clinical practice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.