Optimization of the Cohesion Index in the SeDeM Diagram Expert System and application of SeDeM Diagram: an improved methodology to determine the Cohesion Index

In this study, we suggest optimizing the methodology to determine the Cohesion Index (Icd) in order to avoid mistaken characterizations due to powder bulk density. For this purpose, five different excipients, with different bulk densities and of different chemical nature, were compressed at differen...

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Bibliographic Details
Authors: Nofrerias Roig, Isaac, Nardi Ricart, Anna, Suñé Pou, Marc, Boeckmans, Joost, Suñé i Negre, Josep M. (Josep Maria), García Montoya, Encarna, Pérez Lozano, Pilar, Ticó Grau, Josep R., Miñarro Carmona, Montserrat
Format: article
Status:Published version
Publication Date:2018
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/130115
Online Access:https://hdl.handle.net/2445/130115
Access Level:Open access
Keyword:Excipients
Pólvores (Farmàcia)
Comprimits (Medicina)
Powders (Pharmacy)
Tablets (Medicine)
Description
Summary:In this study, we suggest optimizing the methodology to determine the Cohesion Index (Icd) in order to avoid mistaken characterizations due to powder bulk density. For this purpose, five different excipients, with different bulk densities and of different chemical nature, were compressed at different heights. Their compression and their tablet characterization enable establishing a powder weight for compression in accordance with its bulk density. Therefore, the resulting tablet will have a height within a defined range of heights where it has no critical effects on its hardness. Then, the impact of this optimization is shown in a formula development, one of the main SeDeM's applications. A mathematical equation was used to calculate the theoretical amount of excipient to formulate the API according to both methodologies. The compression results demonstrate that the characterization with the NM-Icd is more accurate than the previous one while preserving its simplicity.

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