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Determination and prediction of physical properties of cellulose nanocrystals from dynamic light scattering measurements

Journal of Nanoparticle Research, ISSN: 1572-896X, Vol: 16, Issue: 7
2014
  • 15
    Citations
  • 0
    Usage
  • 36
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    15
    • Citation Indexes
      15
  • Captures
    36

Article Description

Cellulose nanocrystal (CNC) has attracted increasing interest due to their biocompatibility, rigidity, and potential applications in biomedicine and cosmetics. A parameter estimation technique was used to calculate the average dimension of CNC with different aspect ratios, and their dynamic physical parameters denoted by the translational (D ) and rotational diffusion (Θ) coefficients. For CNC with L/d ratio of 17, the experimental D and Θ values produced calculated length (L) and diameter (d) values that deviated from the experimental results by 0.22 and 0.27 % after 1,000 iterations, respectively. The calculated translational and rotational coefficients converged to an asymptotic value of 5.048 × 10 ms and 551.9 s, with the latter requiring a larger number of iterations to achieve convergence. Close agreement between experimentally obtained and calculated dimensions and dynamics (L, d, D , and Θ) for various types of CNCs was observed using this technique. By combining the theoretical model formulated by Broersma and the computational method utilizing a Nelder-Mead simplex direct search algorithm, reliable predictions of the average sizes determined from dynamic light scattering of a CNC sample was achieved; yielding an average L = 253.5 nm and d = 15.7 nm. The proposed approach provides a convenient, simple, and robust technique to determine the length and diameter of rod-like nanoparticles, such as CNC from light scattering measurements. © 2014 Springer Science+Business Media.

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