Comparison of particle-size distributions determined by optical scanning and by sieving in the assessment of masticatory performance
Aim of this study was to introduce a feasible and valid technique for the assessment of masticatory performance that is comparable to the standard sieving method. Twenty-one chewing samples (Optosil) comminuted by healthy dentate adults were analysed with a sieving and scanning method. Scanning was...
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| Main Authors: | , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
06 January 2012
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| In: |
Journal of oral rehabilitation
Year: 2012, Volume: 39, Issue: 5, Pages: 338-348 |
| ISSN: | 1365-2842 |
| DOI: | 10.1111/j.1365-2842.2011.02275.x |
| Online Access: | Verlag, Volltext: https://doi.org/10.1111/j.1365-2842.2011.02275.x Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2842.2011.02275.x 
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| Author Notes: | L. Eberhard, H.J. Schindler, D. Hellmann, M. Schmitter, P. Rammelsberg & N.N. Giannakopoulos |
MARC
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| 520 | |a Aim of this study was to introduce a feasible and valid technique for the assessment of masticatory performance that is comparable to the standard sieving method. Twenty-one chewing samples (Optosil) comminuted by healthy dentate adults were analysed with a sieving and scanning method. Scanning was performed using a conventional flatbed scanner (1200 dpi). All scanned images underwent image analysis (ImageJ), which yielded descriptive parameters such as area, best-fitting ellipse for each particle. Of the 2D-image, a volume was estimated for each particle, which was converted into a weight. To receive a discrete distribution of particle sizes comparable to sieving, five chewing samples were used to calculate a size-dependent area-volume-conversion factor. The sieving procedure was carried out with a stack of 10 sieves, and the retained particles per sieve were weighed. The cumulated weights yielded by either method were curve-fitted with the Rosin-Rammler distribution to determine the median particle size x50. The Rosin-Rammler distributions for sieving and scanning resemble each other. The distributions show a high correlation (0·919-1·0, n = 21, P < 0·01, Pearson’s correlation coefficient). The median particle sizes vary between 3·83 and 4·77 mm (mean: 4·31) for scanning and 3·53 and 4·55 mm (mean: 4·21) for sieving. On average, scanning overestimates the x50 values by 2·4%. A modified Bland-Altman plot reveals that 95% of the x50 values fall within 10% of the average x50. The scanning method is a valid, simple and feasible method to determine masticatory performance. | ||
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