Literature DB >> 31982555

Non-destructive dose verification of two drugs within 3D printed polyprintlets.

Sarah J Trenfield1, Hui Xian Tan1, Alvaro Goyanes2, David Wilsdon3, Martin Rowland4, Simon Gaisford5, Abdul W Basit6.   

Abstract

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 (R2 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 method for 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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D printing; Digital healthcare; Near infrared spectroscopy; Oral drug delivery systems; Personalized medicines; Process analytical technology (PAT); Selective laser sintering

Year:  2020        PMID: 31982555     DOI: 10.1016/j.ijpharm.2020.119066

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  8 in total

1.  Harnessing machine learning for development of microbiome therapeutics.

Authors:  Laura E McCoubrey; Moe Elbadawi; Mine Orlu; Simon Gaisford; Abdul W Basit
Journal:  Gut Microbes       Date:  2021 Jan-Dec

Review 2.  QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs.

Authors:  David K Bwambok; Noureen Siraj; Samantha Macchi; Nathaniel E Larm; Gary A Baker; Rocío L Pérez; Caitlan E Ayala; Charuksha Walgama; David Pollard; Jason D Rodriguez; Souvik Banerjee; Brianda Elzey; Isiah M Warner; Sayo O Fakayode
Journal:  Sensors (Basel)       Date:  2020-12-07       Impact factor: 3.576

3.  To infinity and beyond: Strategies for fabricating medicines in outer space.

Authors:  Iria Seoane-Viaño; Jun Jie Ong; Abdul W Basit; Alvaro Goyanes
Journal:  Int J Pharm X       Date:  2022-06-16

Review 4.  Innovations in Chewable Formulations: The Novelty and Applications of 3D Printing in Drug Product Design.

Authors:  Lucía Rodríguez-Pombo; Atheer Awad; Abdul W Basit; Carmen Alvarez-Lorenzo; Alvaro Goyanes
Journal:  Pharmaceutics       Date:  2022-08-18       Impact factor: 6.525

5.  Selective Laser Sintering 3D Printing of Orally Disintegrating Printlets Containing Ondansetron.

Authors:  Nour Allahham; Fabrizio Fina; Carmen Marcuta; Lilia Kraschew; Wolfgang Mohr; Simon Gaisford; Abdul W Basit; Alvaro Goyanes
Journal:  Pharmaceutics       Date:  2020-01-30       Impact factor: 6.321

6.  3D Printed Tablets (Printlets) with Braille and Moon Patterns for Visually Impaired Patients.

Authors:  Atheer Awad; Aliya Yao; Sarah J Trenfield; Alvaro Goyanes; Simon Gaisford; Abdul W Basit
Journal:  Pharmaceutics       Date:  2020-02-19       Impact factor: 6.321

7.  Machine Learning and Machine Vision Accelerate 3D Printed Orodispersible Film Development.

Authors:  Colm S O'Reilly; Moe Elbadawi; Neel Desai; Simon Gaisford; Abdul W Basit; Mine Orlu
Journal:  Pharmaceutics       Date:  2021-12-17       Impact factor: 6.321

8.  Prediction of Solid-State Form of SLS 3D Printed Medicines Using NIR and Raman Spectroscopy.

Authors:  Sarah J Trenfield; Patricija Januskaite; Alvaro Goyanes; David Wilsdon; Martin Rowland; Simon Gaisford; Abdul W Basit
Journal:  Pharmaceutics       Date:  2022-03-08       Impact factor: 6.321

  8 in total

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