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...

Full description

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/