Hyperspectral imaging in quality control of inkjet printed personalised dosage forms

A1 Journal article (refereed)

Internal Authors/Editors

Publication Details

List of Authors: Hossein Vakili, Ruzica Kolakovic, Natalja Genina, Mathieu Marmion, Harri Salo, Petri Ihalainen, Jouko Peltonen, Niklas Sandler
Publisher: Elsevier
Publication year: 2015
Journal: International Journal of Pharmaceutics
Volume number: 483
Issue number: 1-2
Start page: 244
End page: 249
eISSN: 1873-3476


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 (R2 = 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 (R2 = 0.9767) to be a reliable, rapid and non-destructive method to optimize quality control of these planar printed dosage forms.


Cellulose, Cellulose carrier substrates, Inkjet printing, Multivariate analysis, Near infrared hyperspectral imaging, Personalized medicine, Quality control

Last updated on 2020-05-08 at 06:54