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Arabinoxylan in Water through SANS: Single-Chain Conformation, Chain Overlap, and Clustering.

Maike PetermannLucie DianteillAmal ZeidiRoméo Vaha OuloassekpaPaul BudisavljevicClaude Le MenCédric MontanierPierre RoblinBernard CabaneRalf SchweinsClaire DumonAntoine Bouchoux
Published in: Biomacromolecules (2023)
Using small-angle neutron scattering (SANS), we examine the structure and conformational behavior of wheat arabinoxylan (AX) prepared at various concentrations in a sodium phosphate aqueous buffer. As for another major hemicellulose, xyloglucan, we observe a small number of large clusters surrounded by AX chains that behave exactly as a polymer in good solvent with a Flory exponent ν = 0.588. The fit of the data at high q -values to a standard worm-like chain model gives the persistence length l p = 45 Å and cross section of the chains 2 R c = 11-12 Å. In addition, using a dedicated modeling approach, we extract from the SANS data at the intermediate q -range the correlation length ξ of the solutions in the semidilute regime. The decay of ξ with concentration follows a scaling law that further confirms the self-avoiding statistical behavior of the AX chains. This first comprehensive study about the properties of water-soluble AX at different length scales may help in the development of products and processes involving AX as a substitute for fossil carbon molecules.
Keyphrases
  • water soluble
  • electronic health record
  • molecular dynamics simulations
  • big data
  • oxidative stress
  • high resolution
  • single cell
  • machine learning
  • deep learning