Hyperspectral imaging in quality control of inkjet printed personalised dosage forms

Hossein Vakili, Ruzica Kolakovic, Natalja Genina, Mathieu Marmion, Harri Salo, Petri Ihalainen, Jouko Peltonen, Niklas Sandler

Research output: Contribution to journalArticleScientificpeer-review

38 Citations (Scopus)

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 (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.
Original languageUndefined/Unknown
Pages (from-to)244–249
JournalInternational Journal of Pharmaceutics
Volume483
Issue number1-2
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

Keywords

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

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