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. 2010 May 24:3:10.
doi: 10.1186/1754-6834-3-10.

Cellulose crystallinity index: measurement techniques and their impact on interpreting cellulase performance

Affiliations

Cellulose crystallinity index: measurement techniques and their impact on interpreting cellulase performance

Sunkyu Park et al. Biotechnol Biofuels. .

Abstract

Although measurements of crystallinity index (CI) have a long history, it has been found that CI varies significantly depending on the choice of measurement method. In this study, four different techniques incorporating X-ray diffraction and solid-state 13C nuclear magnetic resonance (NMR) were compared using eight different cellulose preparations. We found that the simplest method, which is also the most widely used, and which involves measurement of just two heights in the X-ray diffractogram, produced significantly higher crystallinity values than did the other methods. Data in the literature for the cellulose preparation used (Avicel PH-101) support this observation. We believe that the alternative X-ray diffraction (XRD) and NMR methods presented here, which consider the contributions from amorphous and crystalline cellulose to the entire XRD and NMR spectra, provide a more accurate measure of the crystallinity of cellulose. Although celluloses having a high amorphous content are usually more easily digested by enzymes, it is unclear, based on studies published in the literature, whether CI actually provides a clear indication of the digestibility of a cellulose sample. Cellulose accessibility should be affected by crystallinity, but is also likely to be affected by several other parameters, such as lignin/hemicellulose contents and distribution, porosity, and particle size. Given the methodological dependency of cellulose CI values and the complex nature of cellulase interactions with amorphous and crystalline celluloses, we caution against trying to correlate relatively small changes in CI with changes in cellulose digestibility. In addition, the prediction of cellulase performance based on low levels of cellulose conversion may not include sufficient digestion of the crystalline component to be meaningful.

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Figures

Figure 1
Figure 1
X-ray diffraction spectra of Avicel PH-101 illustrating the three most common methods for calculating CI. (a) Peak height method, (b) peak deconvolution method and (c) amorphous subtraction method. The XRD data were collected using CuKα radiation.
Figure 2
Figure 2
X-ray diffraction spectra of amorphous cellulose examples. (a) Amorphous portion extracted by the peak deconvolution method (Figure 1b), (b) amorphous cellulose produced by the DMSO/PF method [70], (c) ball-milled cellulose and (d) commercial xylan (oak spelt xylan, Aldrich 36355-3).
Figure 3
Figure 3
Solid state 13C NMR spectrum of Avicel PH-101. (a) Whole spectrum showing the assignment of peaks to the carbons in a glucopyranose repeat unit and (b) sub-spectrum showing peaks assigned to the C4 in cellulose. The CI is calculated by x/(x+y).
Figure 4
Figure 4
CI of Avicel PH-101 from the literature in terms of measurement techniques. Crosses indicate literature values and black diamonds indicate the values obtained by the authors.

References

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