Morphological characterization of a pharmaceutical tablet coating bed using an artificial vision algorithm

Article Sidebar

PDF (Español (España)) HTML (Español (España))
Published: Jun 29, 2021
DOI: https://doi.org/10.18845/tm.v34i3.5032
Keywords:
Artificial vision system, tablet coating, tablet morphology

Main Article Content

Joel Jesús Alpízar-Castillo
Mechatronics Engineering Academic Area, Costa Rica Institute of Technology
https://orcid.org/0000-0002-1238-4430
Mac Arturo Murillo Fernández, Ing. M.Eng, MBA.
Physics Department, Costa Rica Institute of Technology
https://orcid.org/0000-0002-6913-3472

Abstract

The pharmaceutical industry is constantly searching for methods to optimize its processes. In the present investigation was developed a vision system that allows to morphologically characterize the bed of pharmaceutical tablets during the coating process. As a result, an artificial vision algorithm was designed, which allows to quantify the tablets shown in the image and determine the area of each one, through the use of the Hough transformation and the Canny filter, based on a flat and static model of the coating bed of pharmaceutical tablets. An approximation of the angular position of the pharmaceutical tablets with respect to the optical axis of the camera was obtained, according to the number of layers of tablets in the coating bed.

Article Details

How to Cite
Alpízar-Castillo, J. J., & Fernández-Murillo, M. A. (2021). Morphological characterization of a pharmaceutical tablet coating bed using an artificial vision algorithm. Tecnología En Marcha Journal, 34(3), Pág. 51–60. https://doi.org/10.18845/tm.v34i3.5032
Issue
2021: Vol. 34 Núm. 3: Julio-Setiembre 2021
Section
Artículo científico
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Los autores conservan los derechos de autor y ceden a la revista el derecho de la primera publicación  y pueda editarlo, reproducirlo, distribuirlo, exhibirlo y comunicarlo en el país y en el extranjero mediante medios impresos y electrónicos.  Asimismo, asumen el compromiso sobre cualquier litigio o reclamación relacionada con derechos de propiedad intelectual, exonerando de responsabilidad a la Editorial Tecnológica de Costa Rica. Además, se establece que los autores pueden realizar otros acuerdos contractuales independientes y adicionales para la distribución no exclusiva de la versión del artículo publicado en esta revista (p. ej., incluirlo en un repositorio institucional o publicarlo en un libro) siempre que indiquen claramente que el trabajo se publicó por primera vez en esta revista.

Author Biographies

Joel Jesús Alpízar-Castillo, Mechatronics Engineering Academic Area, Costa Rica Institute of Technology

Mechatronic Engineer graduated from the Costa Rica Institute of Technology. He has done internships in the Netherlands and Colombia, working on Applied Control Systems in Renewable Energy. He currently chairs the Technical Subcommittee on Photovoltaic Energy of the Institute of Technical Standards of Costa Rica (INTECO), and works as a photovoltaic project engineer, professor of Control and Instrumentation Systems in Electrical Engineering and thesis supervisor. Furthermore, he is pursuing a Master's Degree in Project Management with the Complutense University of Madrid.

Mac Arturo Murillo Fernández, Ing. M.Eng, MBA., Physics Department, Costa Rica Institute of Technology

MAC ARTURO MURILLO obtained his degree in production engineering at the College of Technology of Light Industry, Printing Industry, in Budapest, Hungary. He also obtained a Master in Modern Systems of Manufacturing from the Costa Rica Institute of Technology (ITCR). He has worked as  teacher and researcher in several universities in Costa Rica. Currently, he is a doctoral student in the Engineering Program of the ITCR and the University of Costa Rica. His research is focused in colorimetric methods applied to automatic production in pharmaceutical industry.

References

M. Murillo, et. al. “Colour evolution during a coating process of pharmaceutical tablet cores by random spraying”, Color Res Appl. Vol 44, 160-167, 2019.

S. Muschert “Polymeric coatings for solid dosage forms: characterization and optimization”, tesis de dorctorado, Universidad de Lille, Francia, 2008.

FDA. Department of Health and Human Services U.S. Food and Drug Administration. “Guidance for Industry PAT – A Framework for Innovative Pharmaceutical Development, Manufacturing, and Quality Assurance”. 2004.

M. Murillo-Fernández, D. Gutiérrez-Fallas, J. Pacheco-Molina, & E. Montero-Zeledón, “Physical and optical characterization of solid dosage forms coatings” presentado en Simposio en Ciencia de Materiales Avanzados y Nanotecnología, San José, Costa Rica, diciembre, 2016.

F. Doerr et al. “Morphological Characterization of Solid Pharmaceutical Products using X-ray tomography”, presentado en Micro-CT User Meeting 2017 Bruselas, BE, junio, 2017.

M. Murillo-Fernández, D. Gutiérrez-Fallas, J. Pacheco-Molina, & E. Montero-Zeledón. “Caracterización de tabletas farmacéuticas recubiertas por el método de aspersión aleatoria”, Tecnologías en Marcha, vol 32 Especial, 53-62, marzo 2019.

M. Murillo-Fernández “Caracterización y modelización del recubrimiento de tabletas farmacéuticas, para el desarrollo de soluciones de reconocimiento óptico-visible”, tesis de doctorado, Instituto Tecnológico de Costa Rica-Universidad de Costa Rica, 2020.

A. J. Fitzgerald, B. E, Cole & P. F. Taday “Nondestructive Analysis of Tablet Coating Thicknesses Using Terahertz Pulsed Imaging”, Journal of Pharmaceutical Sciences, vol. 9(1), 177-183, 2005.

O. V. García “La calidad desde el diseño: principios y oportunidades para la industria farmacéutica” Estudios Gerenciales, vol. 31, 68-78, 2015.

D. Reitter. “FDA Draft Guidance Document Comments on Use of Inks, Pigments, Flavors and Taggants to Guard Against Counterfeiting”. ColorCon Ing.