Literature DB >> 25527212

Hyperspectral imaging in quality control of inkjet printed personalised dosage forms.

Hossein Vakili1, Ruzica Kolakovic2, Natalja Genina2, Mathieu Marmion3, Harri Salo3, Petri Ihalainen4, Jouko Peltonen4, Niklas Sandler2.   

Abstract

The aim of the study was to investigate applicability of near infra-red (NIR) hyperspectral imaging technique in quality control of printed personalised dosage forms. Inkjet printing technology was utilized to fabricate escalating doses of an active pharmaceutical ingredient (API). A solution containing anhydrous theophylline as the model drug was developed as a printable formulation. Single units solid dosage forms (SDFs) were prepared by jetting the solution onto 1 cm × 1 cm areas on carrier substrate with multiple printing passes. It was found that the number of printing passes was in excellent correlation (R(2)=0.9994) with the amount of the dispensed drug (μg cm(-2)) based on the UV calibration plot. The API dose escalation was approximately 7.5 μg cm(-2) for each printing pass concluding that inkjet printing technology can optimally provide solutions to accurate deposition of active substances with a potential for personalized dosing. Principal component analysis (PCA) was carried out in order to visualize the trends in the hyperspectral data. Subsequently, a quantitative partial least squares (PLS) regression model was created. NIR hyperspectral imaging proved (R(2)=0.9767) to be a reliable, rapid and non-destructive method to optimize quality control of these planar printed dosage forms.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cellulose carrier substrates; Ethanol (PubChem CID: 702); Glycerol (PubChem CID: 753; Inkjet printing; Multivariate analysis; Near infrared hyperspectral imaging; Personalized medicine; Quality control; Theophylline (PubChem CID: 2153)

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Substances:

Year:  2014        PMID: 25527212     DOI: 10.1016/j.ijpharm.2014.12.034

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


  7 in total

Review 1.  Current Trends on Medical and Pharmaceutical Applications of Inkjet Printing Technology.

Authors:  Nicolaos Scoutaris; Steven Ross; Dennis Douroumis
Journal:  Pharm Res       Date:  2016-05-12       Impact factor: 4.200

2.  Visualization and Non-Destructive Quantification of Inkjet-Printed Pharmaceuticals on Different Substrates Using Raman Spectroscopy and Raman Chemical Imaging.

Authors:  Magnus Edinger; Daniel Bar-Shalom; Jukka Rantanen; Natalja Genina
Journal:  Pharm Res       Date:  2017-03-01       Impact factor: 4.200

Review 3.  Polymers in Technologies of Additive and Inkjet Printing of Dosage Formulations.

Authors:  Evgenia V Blynskaya; Sergey V Tishkov; Konstantin V Alekseev; Alexandre A Vetcher; Anna I Marakhova; Dovlet T Rejepov
Journal:  Polymers (Basel)       Date:  2022-06-22       Impact factor: 4.967

Review 4.  An updated review on application of 3D printing in fabricating pharmaceutical dosage forms.

Authors:  Rabinarayan Parhi; Goutam Kumar Jena
Journal:  Drug Deliv Transl Res       Date:  2021-10-06       Impact factor: 5.671

Review 5.  Complex formulations, simple techniques: Can 3D printing technology be the Midas touch in pharmaceutical industry?

Authors:  Shrawani Lamichhane; Santosh Bashyal; Taekwang Keum; Gyubin Noh; Jo Eun Seo; Rakesh Bastola; Jaewoong Choi; Dong Hwan Sohn; Sangkil Lee
Journal:  Asian J Pharm Sci       Date:  2019-02-14       Impact factor: 6.598

Review 6.  Polymers for Extrusion-Based 3D Printing of Pharmaceuticals: A Holistic Materials-Process Perspective.

Authors:  Mohammad A Azad; Deborah Olawuni; Georgia Kimbell; Abu Zayed Md Badruddoza; Md Shahadat Hossain; Tasnim Sultana
Journal:  Pharmaceutics       Date:  2020-02-03       Impact factor: 6.321

7.  Near-Infrared Hyperspectral Imaging as a Monitoring Tool for On-Demand Manufacturing of Inkjet-Printed Formulations.

Authors:  Sandra Stranzinger; Matthias Wolfgang; Emma Klotz; Otto Scheibelhofer; Patrizia Ghiotti; Johannes G Khinast; Wen-Kai Hsiao; Amrit Paudel
Journal:  AAPS PharmSciTech       Date:  2021-08-10       Impact factor: 3.246

  7 in total

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