Manufacture and characterisation of porous PLA scaffolds
datasetposted on 01.01.2015, 00:00 by N Rodriques, M Benning, MF Durate, L Dixon, K Dalgarno
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.
The data was acquired with two different techniques, gel permeation chromatography (GPC) and differential scanning calorimetry (DSC). DSC was selected due to the information that it provides about the polymer thermal properties such as glass transition temperature (Tg) and melting temperature (Tm) and GPC was used to acquire the weight average molecular weight (Mw) and polydispersity index (PDI). The polymer thermal properties and weight average molecular weight (Mw) were determined throughout the processing stages of the PLA scaffold ( PLA.filament , PLA.Printed and laser.cut.PLA scaffold) to evaluate if there was any polymer degradation due to processing.