Determining the crystal structure of semi-crystalline polymers is still quite the challenge, especially when relying on powder X-ray diffraction (PXRD) alone. The (typically) poorly resolved patterns often lead to multiple competing models with indistinguishable powder profiles. Herein, an alternative bottom-up strategy is proposed, using experimental vibrational spectra as a diagnostic tool to iteratively build crystal structures piece by piece, from 1D chain conformation to full 3D packing. The vibrationally guided methodology was applied to poly(trimethylene 2,5-furandicarboxylate) (PTF), a promising biobased polyester. Infrared and inelastic neutron scattering (INS) spectra collected for amorphous and semi-crystalline samples revealed conformationally sensitive bands that were matched against spectra estimated from discrete density functional theory (DFT) models. This allowed for the identification of the chain conformation (ss-tggt) present in the crystalline phase and the rejection of those incompatible with spectroscopic observations. Using this conformer as a building block, a 3D crystal structure was assembled, comprising 2D sheets stabilized by C–H···O bonds and π–π interactions, and then refined using periodic DFT. This model, which greatly resembles that found for the terephthalic counterpart poly(trimethylene terephathalate) (PTT), proved to be able to reproduce experimental INS data. This case study demonstrates the power of vibrational spectroscopy not only as a validation tool but as an active guide in structure determination. By leveraging spectral sensitivity to local conformation and intermolecular contacts, this bottom-up strategy narrows the pool of viable models early in the process, reducing computational cost and ambiguity. This method complements existing techniques such as nuclear magnetic resonance (NMR) crystallography and opens new avenues for understanding structure–property relationships in complex polymer systems.
Author Contributions
Conceptualization, C.F.A., A.F.S., M.M.N. and P.R.-C.; methodology, C.F.A., M.M.N. and P.R.-C.; validation, C.F.A., S.V.P. and P.D.V.; formal analysis, C.F.A. and P.D.V.; investigation, C.F.A., S.V.P., B.A., S.R. and P.D.V.; resources, S.V.P., S.R., M.M.N. and B.A.; writing—original draft preparation, C.F.A.; writing—review and editing, C.F.A., S.V.P., S.R., P.D.V., A.J.D.S., A.F.S., M.M.N. and P.R.-C.; supervision, A.F.S., M.M.N. and P.R.-C.; project administration, P.R.-C.; funding acquisition, A.J.D.S. and A.F.S. All authors have read and agreed to the published version of the manuscript.
Funding
This work is based on research previously performed, and therefore acknowledges the funding sources that supported the original research, namely: COST Action FUR4Sustain—European network of FURan based chemicals and materials FOR a Sustainable development, CA18220, supported by COST (European Cooperation in Science and Technology). This work was developed within the scope of the project CICECO Aveiro Institute of Materials, UID/50011/2025 (DOI 10.54499/UID/50011/2025) & LA/P/0006/2020 (DOI 10.54499/LA/P/0006/2020), financed by national funds through the FCT/MCTES (PIDDAC). This work was also supported by FEDER through the program COMPETE—Programa Operacional Factores de Competitividade—and by national funds through FCT under the project UID/EMS/00285/2020 and ARISE funding (LA/P/0112/2020). FCT is also acknowledged for the research contract under Scientific Employment Stimulus to AFS (CEECIND/02322/2020) and for the Ph.D. grants to CFA (SFRH/BD/129040/2017), SVP (2023.01628.BD) and BA (2020.04495.BD).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
The STFC Rutherford Appleton Laboratory is thanked for access to neutron beam facilities (TOSCA/RB2000214, DOI:10.5286/ISIS.E.RB2000214, and Xpress RB2291064). CASTEP calculations were made possible due to the computing resources provided by STFC Scientific Computing Department’s SCARF cluster.
Conflicts of Interest
The authors declare no conflict of interest.
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