Quantitative Structural Analysis of Fat Crystal Networks by Means of Raman Confocal Imaging

Koen J.A. Martens, Gerard van Dalen, Patricia C.M. Heussen, Mihai A. Voda, Tatiana Nikolaeva, John P.M. van Duynhoven

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

The techniques that are currently available to assess fat crystal networks are compromised with respect to invasive sample preparation and ability to quantify compositional and structural features. Raman confocal hyperspectral imaging coupled to analysis with multivariate curve resolution can address these bottlenecks, as it provides label-free, noninvasive chemical information in three dimensions (3D). We demonstrate the ability to acquire compositional maps of dispersions of micronized fat crystals (MFC) in oil, which contain local concentrations of liquid oil and solid fat with submicron spatial resolution and with acquisition times in the order of 10 min. From the compositional maps, we can derive quantitative information on the size and porosity of fat crystal flocs, as well as the solid fat content of the embedding continuous phase. Furthermore, the fractal dimension of the fat crystal network could be determined from the compositional maps via the box-counting method and via the porosities of the crystal flocs. This makes it feasible to assess the validity of the weak-link network theory under industrial relevant conditions. The confocal imaging mode allows for straightforward acquisition of 3D compositional cubes by recording a stack of two-dimensional (2D) images. The box-counting fractal dimension analysis performed on 2D maps can be extended to 3D cubes, which allows for straightforward verification that MFC networks are self-similar rather than self-affine.
Original languageEnglish
Pages (from-to)259-265
JournalJAOCS, Journal of the American Oil Chemists' Society
Volume95
Issue number3
Early online date22 Feb 2018
DOIs
Publication statusPublished - Mar 2018

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Oils and fats
Structural analysis
Fats
Imaging techniques
Crystals
Fractal dimension
Oils
Porosity
Circuit theory
Dispersions
Labels
Liquids

Keywords

  • Fat crystal networks
  • Fractal dimension
  • Micronized fat crystal dispersions
  • Network formation
  • Porosity
  • Raman confocal imaging

Cite this

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title = "Quantitative Structural Analysis of Fat Crystal Networks by Means of Raman Confocal Imaging",
abstract = "The techniques that are currently available to assess fat crystal networks are compromised with respect to invasive sample preparation and ability to quantify compositional and structural features. Raman confocal hyperspectral imaging coupled to analysis with multivariate curve resolution can address these bottlenecks, as it provides label-free, noninvasive chemical information in three dimensions (3D). We demonstrate the ability to acquire compositional maps of dispersions of micronized fat crystals (MFC) in oil, which contain local concentrations of liquid oil and solid fat with submicron spatial resolution and with acquisition times in the order of 10 min. From the compositional maps, we can derive quantitative information on the size and porosity of fat crystal flocs, as well as the solid fat content of the embedding continuous phase. Furthermore, the fractal dimension of the fat crystal network could be determined from the compositional maps via the box-counting method and via the porosities of the crystal flocs. This makes it feasible to assess the validity of the weak-link network theory under industrial relevant conditions. The confocal imaging mode allows for straightforward acquisition of 3D compositional cubes by recording a stack of two-dimensional (2D) images. The box-counting fractal dimension analysis performed on 2D maps can be extended to 3D cubes, which allows for straightforward verification that MFC networks are self-similar rather than self-affine.",
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Quantitative Structural Analysis of Fat Crystal Networks by Means of Raman Confocal Imaging. / Martens, Koen J.A.; van Dalen, Gerard; Heussen, Patricia C.M.; Voda, Mihai A.; Nikolaeva, Tatiana; van Duynhoven, John P.M.

In: JAOCS, Journal of the American Oil Chemists' Society, Vol. 95, No. 3, 03.2018, p. 259-265.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Martens, Koen J.A.

AU - van Dalen, Gerard

AU - Heussen, Patricia C.M.

AU - Voda, Mihai A.

AU - Nikolaeva, Tatiana

AU - van Duynhoven, John P.M.

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