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Published on: June 20, 2019
Determining conformational order and crystallinity in polycaprolactone via Raman spectroscopy
Anthony P Kotula1, Chad R Snyder1, Kalman B Migler1
1Materials Science and Engineering Division, NIST Gaithersburg, Maryland 20899, United States.
This study introduces a new Raman spectroscopy analysis method for polycaprolactone, improving interpretation of biomaterial spectra. The technique links spectral features to polymer crystallinity and chain behavior.
Area of Science:
- Polymer Science
- Spectroscopy
- Materials Science
Background:
- Raman spectroscopy is vital for analyzing polycaprolactone (PCL) in tissue engineering and drug delivery.
- Interpreting PCL Raman spectra alongside dielectric spectroscopy and differential scanning calorimetry data presents challenges in melt and semi-crystalline states.
- Existing methods lack detailed correlation between spectral features and PCL's physical states.
Purpose of the Study:
- To develop a thermodynamically informed analysis method for Raman spectra of polycaprolactone.
- To establish a clear link between spectral features and polymer chain conformations, crystallinity, and dipole interactions.
- To enhance the interpretation of Raman spectroscopy data for PCL and other polymers.
Main Methods:
- Utilized a novel analysis method based on 'basis spectra' representing ideal polymer chain conformers.
- Identified three distinct basis spectra in the carbonyl region of PCL.
- Correlated basis spectra with crystallinity, dipole-dipole interactions (via dielectric spectroscopy), and amorphous chain behavior.
- Employed density functional theory calculations for spectral regions like C-COO stretch to differentiate between single chain modes and crystalline order.
Main Results:
- Discovered three basis spectra in PCL's carbonyl region, each linked to specific physical properties.
- Demonstrated a linear relationship between one basis spectrum and PCL crystallinity.
- Showed correlation of a second basis spectrum with dipole-dipole interactions and a third with amorphous chain behavior.
- Differentiated spectral peaks in other regions, attributing them to either all-trans single chain modes or crystalline order by comparing with DFT calculations.
Conclusions:
- The developed analysis method provides a robust framework for interpreting polycaprolactone Raman spectra.
- The method successfully correlates spectral features with fundamental polymer properties like crystallinity and chain conformation.
- This approach offers significant potential for advancing the analysis of polycaprolactone and other polymeric materials in various applications.
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