Mafalda Sarraguça

Researcher LAQV-REQUIMTE

Batch Statistical Process Monitoring Approach to a Cocrystallization Process.


Journal article


M. Sarraguça, Paulo Roberto S. Ribeiro, A. O. dos Santos, J. Lopes
Journal of pharmaceutical sciences, 2015

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APA   Click to copy
Sarraguça, M., Ribeiro, P. R. S., dos Santos, A. O., & Lopes, J. (2015). Batch Statistical Process Monitoring Approach to a Cocrystallization Process. Journal of Pharmaceutical Sciences.


Chicago/Turabian   Click to copy
Sarraguça, M., Paulo Roberto S. Ribeiro, A. O. dos Santos, and J. Lopes. “Batch Statistical Process Monitoring Approach to a Cocrystallization Process.” Journal of pharmaceutical sciences (2015).


MLA   Click to copy
Sarraguça, M., et al. “Batch Statistical Process Monitoring Approach to a Cocrystallization Process.” Journal of Pharmaceutical Sciences, 2015.


BibTeX   Click to copy

@article{m2015a,
  title = {Batch Statistical Process Monitoring Approach to a Cocrystallization Process.},
  year = {2015},
  journal = {Journal of pharmaceutical sciences},
  author = {Sarraguça, M. and Ribeiro, Paulo Roberto S. and dos Santos, A. O. and Lopes, J.}
}

Abstract

Cocrystals are defined as crystalline structures composed of two or more compounds that are solid at room temperature held together by noncovalent bonds. Their main advantages are the increase of solubility, bioavailability, permeability, stability, and at the same time retaining active pharmaceutical ingredient bioactivity. The cocrystallization between furosemide and nicotinamide by solvent evaporation was monitored on-line using near-infrared spectroscopy (NIRS) as a process analytical technology tool. The near-infrared spectra were analyzed using principal component analysis. Batch statistical process monitoring was used to create control charts to perceive the process trajectory and define control limits. Normal and non-normal operating condition batches were performed and monitored with NIRS. The use of NIRS associated with batch statistical process models allowed the detection of abnormal variations in critical process parameters, like the amount of solvent or amount of initial components present in the cocrystallization.