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Thermal Stability of Lyocell Solutions: Experimental Results and Modeling Using Cluster Analysis and Partial Least Squares Regression
- Source :
- Macromolecular Theory and Simulations. 17:32-38
- Publication Year :
- 2008
- Publisher :
- Wiley, 2008.
-
Abstract
- A population of 167 samples were monitored using by rheological, calorimetric, chromatographic and spectroscopic methods, which allows a precise description of the thermal behavior. Hierarchical cluster analysis was used to find similarities between groups of samples. Principal components analysis revealed isoperibolic pressure slope, morpholine and N-methylmorpholine as variables providing most information concerning the thermostability. The onset temperature as the beginning of an exothermicity can be modeled by the combination of detection of amines and aldehydes and subsequent PLS regression.
- Subjects :
- education.field_of_study
Chromatography
Polymers and Plastics
Organic Chemistry
Population
N-Methylmorpholine N-oxide
Thermodynamics
Condensed Matter Physics
Hierarchical clustering
Inorganic Chemistry
chemistry.chemical_compound
chemistry
Morpholine
Partial least squares regression
Principal component analysis
Materials Chemistry
Cluster (physics)
Thermal stability
education
Subjects
Details
- ISSN :
- 15213919 and 10221344
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Macromolecular Theory and Simulations
- Accession number :
- edsair.doi...........0a2b0cd6d84b6f1e5e9c1bc162488cb3
- Full Text :
- https://doi.org/10.1002/mats.200700049