Data Table of Influence of extended dwell time during pre- and main compression on the properties of ibuprofen.
datasetposted on 19.07.2019 by E. Peeters, A.F.T. Silva, M. Fonteyne, T. De Beer, C. Vervaet, J.P. Remon
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This dataset is related to the manuscript 'Influence of extended dwell time during pre- and main compression on the properties of ibuprofen'. While the compaction rate in most tableting machines is only determined by the tableting speed, the high speed rotary tableting machine used in this research project (MODUL P, GEA Process Engineering, Halle, Belgium) can adjust and control the dwell time independently from the tableting speed, using an air compensator which allows displacement of the upper (pre-) compression roller. The effect of this machine design on process parameters and tablet properties was investigated using a formulation containing 80% ibuprofen. The granules were compressed into tablets at 250, 500 and 1000 tablets per minute via double compression (pre- and main compression) with or without extended dwell time. Process parameters and tablet properties were analyzed using Multivariate Data Analysis. Principal Component Analysis (PCA) was performed on the machine settings and logged data obtained from the tableting press and data acquisition system in order to provide an overview of the performed experiments and investigate the correlations between all process variables. A Partial Least Squares (PLS) regression model was developed to explore the correlations between the machine settings and logged data (X) and the tablet properties (Y). The Data Table contains all data used in the Multivariate Data Analysis (tab 'Data Table'), together with a description of the used keys (tab 'Meaning Data Table') and a schematic overview of the performed experiments (tab 'Meaning Exp')