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Cellulose polymorphy, crystallite size, and the Segal Crystallinity Index
by
French, Alfred D.
, Santiago Cintrón, Michael
in
Bioorganic Chemistry
/ Cellulose
/ Ceramics
/ Chemistry
/ Composites
/ computer software
/ Crystal structure
/ Crystallinity
/ Crystallites
/ Glass
/ Mathematical analysis
/ mercury
/ Natural Materials
/ Organic Chemistry
/ Periodic variations
/ periodicity
/ Physical Chemistry
/ Polymer Sciences
/ Preferred orientation
/ Sustainable Development
/ X-radiation
2013
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Cellulose polymorphy, crystallite size, and the Segal Crystallinity Index
by
French, Alfred D.
, Santiago Cintrón, Michael
in
Bioorganic Chemistry
/ Cellulose
/ Ceramics
/ Chemistry
/ Composites
/ computer software
/ Crystal structure
/ Crystallinity
/ Crystallites
/ Glass
/ Mathematical analysis
/ mercury
/ Natural Materials
/ Organic Chemistry
/ Periodic variations
/ periodicity
/ Physical Chemistry
/ Polymer Sciences
/ Preferred orientation
/ Sustainable Development
/ X-radiation
2013
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Do you wish to request the book?
Cellulose polymorphy, crystallite size, and the Segal Crystallinity Index
by
French, Alfred D.
, Santiago Cintrón, Michael
in
Bioorganic Chemistry
/ Cellulose
/ Ceramics
/ Chemistry
/ Composites
/ computer software
/ Crystal structure
/ Crystallinity
/ Crystallites
/ Glass
/ Mathematical analysis
/ mercury
/ Natural Materials
/ Organic Chemistry
/ Periodic variations
/ periodicity
/ Physical Chemistry
/ Polymer Sciences
/ Preferred orientation
/ Sustainable Development
/ X-radiation
2013
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Cellulose polymorphy, crystallite size, and the Segal Crystallinity Index
Journal Article
Cellulose polymorphy, crystallite size, and the Segal Crystallinity Index
2013
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Overview
The X-ray diffraction-based Segal Crystallinity Index (CI) was calculated for simulated different sizes of crystallites for cellulose Iβ and II. The Mercury software was used, and different crystallite sizes were based on different input peak widths at half of the maximum peak intensity (pwhm). The two cellulose polymorphs, Iβ and II, gave different CIs despite having the same pwhm values and perfect periodicity. The higher CIs for cellulose II were attributed to a greater distance between the major peaks that are closest to the recommended 2-θ value for assessing the amorphous content. That results in less peak overlap at the recommended 2-θ value. Patterns calculated with simulated preferred orientation had somewhat higher CIs for cellulose Iβ, whereas there was very little effect on the CIs for cellulose II.
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