QCL infrared spectroscopy combined with machine learning as a useful tool for classifying acetaminophen tablets by brand
The development of new methods of identification of active pharmaceutical ingredients (API) is a subject of paramount importance for research centers, the pharmaceutical industry, and law enforcement agencies. Here, a system for identifying and classifying pharmaceutical tablets containing acetamino...
- Autores:
-
Martínez-Trespalacios, José A.
Polo-Herrera, Daniel E.
Félix-Massa 3, Tamara Y.
Hernandez-Rivera, Samuel P.
Hernandez-Fernandez, Joaquín
Colpas-Castillo, Fredy
Castro-Suarez, John R.
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12759
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12759
- Palabra clave:
- Vibrational spectroscopy
Machine learning
Counterfeit drugs
Chemometrics
Mid-infrared
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/publicdomain/zero/1.0/