4.5 Article

Hirshfeld surface analysis of the intermolecular interaction networks in cellulose I? and I?

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CARBOHYDRATE RESEARCH
卷 518, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.carres.2022.108600

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Hydrogen bonds; Hirshfeld surface; 2D fingerprint plots; Enrichment ratio

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This study visualized and quantified the intermolecular interactions related to hydrogen bonds and van der Waals interactions in cellulose crystals I alpha and I beta, showing diversity in crystal structures due to the hydrogen atom positions of O6 and O-2 hydroxyl groups. Hydrogen bonding is more favored in model (A) than in model (B), impacting the crystal packaging of cellulose crystals.
Due to the high crystallinity and natural abundance, the crystal structures of native cellulose allomorphs have been theoretically studied until today, but some details remain to be deciphered. In this work, research was extended on the visualization and quantification of intermolecular interactions related to hydrogen bonds and van der Waals interactions in cellulose crystals I alpha and I beta based on previous studies. For each allomorph, the crystal structure has been described by two models of hydrogen bonding networks designated here as (A) and (B). This network diversity is due to the location of the hydrogen atoms of two disordered positions in the hydroxyl groups O6 and O-2. Hirshfeld surface analysis (3D) was used to visualize the fidelity of intermolecular interactions O-HMIDLINE HORIZONTAL ELLIPSISO (involving O-2 and O6) in the different cellulosic structural models I alpha and I beta. Twodimensional fingerprint plots were used to identify the individual type of intermolecular contact and its impact on crystal packaging by graphical representation. A crystal contact study using the enrichment ratio was performed to investigate the tendency of intermolecular interactions to form the crystalline packing. The control of O-HMIDLINE HORIZONTAL ELLIPSISO inter-chain interactions in each type of network shows that hydrogen bonding is more favored in the model (A) than in the model (B).

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