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Influence of surface charge density and NaCl concentration on the intrinsic viscosity of cellulose nanocrystal suspensions

Annual Meeting on Biopolymers and Drug Delivery Systems
October 12-13, 2017 Osaka, Japan

Siqun Wang, Qian Li, Qiang Wu, Xiuwen Li and Shenyuan Fu

University of Tennessee, USA Zhejiang A&F University, China

ScientificTracks Abstracts: Polym Sci

DOI: 10.4172/2471-9935-C1-005


Cellulose Nanocrystals (CNCs) with similar size and various surface charge densities were prepared by sulfuric acid hydrolysis and NaOH desulfation. The influence of surface charge density and NaCl concentration on the intrinsic viscosity of CNC suspensions and predicted aspect ratio were investigated by Ubbelohde viscometer. With decreased CNC surface charge density, the intrinsic viscosity initially decreased due to the electric double layers on the CNC surface and subsequently increased due to CNC aggregation. To screen electro viscous effect, NaCl was added into CNC suspensions. With increased NaCl concentration, the intrinsic viscosity of CNC suspensions first decreased and then increased. The aspect ratios of CNCs predicted by Batchelor equation from the minimum intrinsic viscosity were consistent with that measured by transmission electron microscopy (TEM). Suspensions of CNCs with higher surface charge density needed less NaCl to obtain minimum intrinsic viscosity. The NaCl content that should be added to the suspension to predict the actual physical aspect ratio of CNC can be estimated by Debye-Hückel theory, assuming that the Debye length is equal to the CNC diameter.


Siqun Wang is a Professor in the UT Center for Renewable Carbon. His research interests include nano-mechanics, cellulose nano-materials, bio-based carbon materials, manufacture and performance of wood-based composites, natural fiber-reinforced plastic composites, bio-nanocomposites, wood adhesion, cellulose nano-material impact on soil, soil recovery, heavy metal removal from water and wood quality. He has authored or co-authored more than 200 referred journal articles.
Email:[email protected]

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Abstracted/Indexed in

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  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • WorldCat
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