Evaluation of laser diffraction as a fast method for particle size distribution measurement of plant cell structures in whole oat and soy beverages

In food engineering in general and in liquid food processing specifically, accurate measurement of particle size is important, both for product development and daily quality control. Laser diffraction is the dominating method for particle size measurement of e.g., plant cell structures in food and beverage processing. However, the accuracy of the method can be questioned since these particles differ substantially from the isotropic spheres assumed in laser diffraction algorithms. This paper validates laser diffraction for particle size measurement of plant cell structures in whole plant-based beverages, using direct static image analysis. Premixes of oat and soy beverages were prepared and homogenized under different conditions. This was performed with the purpose of creating several beverages with varying particle sizes. The final beverages were either analyzed as prepared or sieved to isolate the plant cell structures. It is concluded that after isolation of the particles of interest, laser diffraction can accurately capture the size of the largest particles (D<sub>v99</sub>). These particles are known to be of critical importance for sensory properties and physical stability. For other characteristic particle sizes-such as the D<sub>v90</sub> and D<sub>4,3</sub>-laser diffraction and static image analysis correlate but with a lower coefficient of determination.

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Publication Details

Journal
Food Research International
Published
2025-06-11
DOI
https://doi.org/10.1016/j.foodres.2025.116781
Citations
1
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
1.12
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article

Evaluation of laser diffraction as a fast method for particle size distribution measurement of plant cell structures in whole oat and soy beverages

Federico Gómez Galindo, Xintian Liu, Henriette Sørensen, Andréas Håkansson et al.
1 citations
Food Research International
Food composition and properties
1.12
article

Evaluation of laser diffraction as a fast method for particle size distribution measurement of plant cell structures in whole oat and soy beverages

Federico Gómez Galindo, Xintian Liu, Henriette Sørensen, Andréas Håkansson, Eva Ransmark, Essi Åkerfeldt
article en
1 citations

Abstract

In food engineering in general and in liquid food processing specifically, accurate measurement of particle size is important, both for product development and daily quality control. Laser diffraction is the dominating method for particle size measurement of e.g., plant cell structures in food and beverage processing. However, the accuracy of the method can be questioned since these particles differ substantially from the isotropic spheres assumed in laser diffraction algorithms. This paper validates laser diffraction for particle size measurement of plant cell structures in whole plant-based beverages, using direct static image analysis. Premixes of oat and soy beverages were prepared and homogenized under different conditions. This was performed with the purpose of creating several beverages with varying particle sizes. The final beverages were either analyzed as prepared or sieved to isolate the plant cell structures. It is concluded that after isolation of the particles of interest, laser diffraction can accurately capture the size of the largest particles (D<sub>v99</sub>). These particles are known to be of critical importance for sensory properties and physical stability. For other characteristic particle sizes-such as the D<sub>v90</sub> and D<sub>4,3</sub>-laser diffraction and static image analysis correlate but with a lower coefficient of determination.

Food Research InternationalVol. 217
Lund University (SE), Regionshospitalet Silkeborg (DK), Tetra Pak (Sweden) (SE)
Zero hunger
Openalex Percentile: Top 23%
Food composition and properties
1.12
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Evaluation of laser diffraction as a fast method for particle size distribution measurement of plant cell structures in whole oat and soy beverages — Federico Gómez Galindo, Xintian Liu, et al. · Food Research International (2025) | TGRS Research Map | TGRS