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Application of hyperspectral imaging technique to determine the quality of Photo and Thermal exposed and contaminated pharmaceutical formulations: A cost effective way of quality testing
2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020
  • Fares M. Howari, Zayed University
  • Cijo Xavier, Zayed University
  • Manish Sharma, Zayed University
  • Yousef Nazzal, Zayed University
  • Imen Ben Salem, Zayed University
  • Fatima Alaydaroos, UAE Space Agency
Document Type
Conference Proceeding
Publication Date
12-16-2020
Abstract

Hyperspectral imaging is one of the recent technologies in the field of quality testing of pharmaceutical products. The present study describes the spectral behavior of two Active Pharmaceutical Ingredients (API) at photo and thermal stressed conditions and the contamination on the surface. We aim to study how the hyperspectral technique can measure the physical and chemical changes of pharmaceutical ingredients at stressed conditions. Multispectral and hyperspectral cameras were used for qualitative data collection of thousands of spectra. Results were compared with traditional UV and XRD methods. Implementation of such non-destroying, non-polluting, eco-friendly and fast technology will be useful in the pharmaceutical manufacturing, packing and reaction monitoring. Hyperspectral technology will be useful in the future space explorations for a better understanding of drug stability, safety, and effectiveness in space.

ISBN
9781665419741
Keywords
  • quality testing,
  • Hyperspectral imagine,
  • Pharmaceutical,
  • Photo exposed,
  • Thermal exposed
Scopus ID
85105477585
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/CSDE50874.2020.9411381
Citation Information
Fares M. Howari, Cijo Xavier, Manish Sharma, Yousef Nazzal, et al.. "Application of hyperspectral imaging technique to determine the quality of Photo and Thermal exposed and contaminated pharmaceutical formulations: A cost effective way of quality testing" 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020 (2020)
Available at: http://works.bepress.com/yousef-nazzal/32/