Loading…

Power consumption profile analysis and tensile strength measurements during moist agglomeration

This study was performed to elucidate the influences of process and formulation design on the granulation process using power consumption and tensile strength measurements. In order to record and analyze the power consumption profile “in process” a computer program was developed to be used for optim...

Full description

Saved in:
Bibliographic Details
Published in:International journal of pharmaceutics 2003-02, Vol.252 (1), p.11-25
Main Authors: Betz, Gabriele, Bürgin, Pascale Junker, Leuenberger, Hans
Format: Article
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study was performed to elucidate the influences of process and formulation design on the granulation process using power consumption and tensile strength measurements. In order to record and analyze the power consumption profile “in process” a computer program was developed to be used for optimal end-point control in reproducible granule production. The program analyzes and calculates a characteristical point, the turning point of the S-shaped ascent of the profile. The tensile strength expresses the cohesiveness between the powder particles, which is dependent on saturation and capillary pressure. In order to investigate the influence of the amount of liquid present in the granular material on tensile strength a device was developed. The maxima of tensile strength occurred at 90% saturation, whereas the maxima of power consumption were determined at 100% saturation. The measured tensile strength σ (N/m 2) equals to the volume specific cohesion (J/m 3). The present work proved that the power consumption measurement is an alternative, simple and inexpensive method to determine the cohesion of powder particles. The turning point is introduced as a signature of the starting material and furthermore as a parameter for the cohesiveness of the starting material and therefore for optimal end-point detection at an early stage.
ISSN:0378-5173
1873-3476
DOI:10.1016/S0378-5173(02)00601-4