Categorizaion of the Main Descriptors of Different Ampicillin Crystal Habits
ABSTRACT: With the purpose of enabling the analysis by digital methods of particles of multisource pharmaceutical raw materials, this study analyzed different crystal habits of ampicillin particles, by grouping the external shapes obtained from 3 different solvents (acetonitrile, ethanol, and methan...
- Autores:
-
Flórez Acosta, Óscar Albeiro
Tobón Zapata, Gloria Elena
Valencia Vásquez, Jaime
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2010
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/25226
- Acceso en línea:
- http://hdl.handle.net/10495/25226
- Palabra clave:
- Análisis Multivariante
Multivariate Analysis
Ampicilina
Ampicillin
Análisis de Fourier
Fourier Analysis
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/2.5/co/
Summary: | ABSTRACT: With the purpose of enabling the analysis by digital methods of particles of multisource pharmaceutical raw materials, this study analyzed different crystal habits of ampicillin particles, by grouping the external shapes obtained from 3 different solvents (acetonitrile, ethanol, and methanol), thereby reducing the number of descriptors necessary to adequately represent each shape. For this purpose, a selection of morphological descriptors was used including: circularity, roughness, roundness, compactness, aspect ratio, effective diameter, solidity, convexity, fractal dimension, and 10 Complex Fourier descriptors. These measures cover highly diverse morphological properties and define the crystal habit of a particle. Principal Component Analysis (PCA) and the Cluster Analysis (CA) were the grouping techniques used, which demonstrated the possibility of using between 2 and 4 descriptors instead of the 18 proposed initially. |
---|