Nanoparticle diffusometry for quantitative assessment of submicron structure in food biopolymer networks: A review

D.W. de Kort, J.P.M. van Duynhoven, H. van As, F. Mariette

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)

Abstract

At the submicron scale, food biopolymer networks can be visualized by a wide array of microscopic techniques, but these methods are mostly invasive and require careful image analysis in order to quantify network features. ‘Nanoparticle diffusometry’ provides a non-invasive alternative to infer quantitative submicron structural information about biopolymer networks. In this approach, spectroscopy-based methods are used to monitor hindered diffusion of nanoparticles due to network obstructions. Both rigid-spherical and flexible nanoparticles can be used and models are available to derive structural network parameters. A range of applications to polysaccharide and protein sols and gels has been described. The approach offers opportunities to assess (sub-)micron scale network heterogeneity and changes in sub-micron structure under dynamical conditions such as shear or aging.
Original languageEnglish
Pages (from-to)13-26
JournalTrends in Food Science and Technology
Volume42
Issue number1
DOIs
Publication statusPublished - 2015

Fingerprint

Biopolymers
biopolymers
nanoparticles
Nanoparticles
Food
Polymethyl Methacrylate
Polysaccharides
shears
spectroscopy
Spectrum Analysis
polysaccharides
Gels
methodology
gels
image analysis
monitoring
Proteins
proteins

Keywords

  • semidilute polymer-solutions
  • field gradient nmr
  • fluorescence correlation spectroscopy
  • casein gel microstructure
  • globular protein gels
  • self-diffusion
  • pfg-nmr
  • probe diffusion
  • poly(ethylene glycol)s
  • aggregation phenomena

Cite this

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title = "Nanoparticle diffusometry for quantitative assessment of submicron structure in food biopolymer networks: A review",
abstract = "At the submicron scale, food biopolymer networks can be visualized by a wide array of microscopic techniques, but these methods are mostly invasive and require careful image analysis in order to quantify network features. ‘Nanoparticle diffusometry’ provides a non-invasive alternative to infer quantitative submicron structural information about biopolymer networks. In this approach, spectroscopy-based methods are used to monitor hindered diffusion of nanoparticles due to network obstructions. Both rigid-spherical and flexible nanoparticles can be used and models are available to derive structural network parameters. A range of applications to polysaccharide and protein sols and gels has been described. The approach offers opportunities to assess (sub-)micron scale network heterogeneity and changes in sub-micron structure under dynamical conditions such as shear or aging.",
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author = "{de Kort}, D.W. and {van Duynhoven}, J.P.M. and {van As}, H. and F. Mariette",
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Nanoparticle diffusometry for quantitative assessment of submicron structure in food biopolymer networks: A review. / de Kort, D.W.; van Duynhoven, J.P.M.; van As, H.; Mariette, F.

In: Trends in Food Science and Technology, Vol. 42, No. 1, 2015, p. 13-26.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Nanoparticle diffusometry for quantitative assessment of submicron structure in food biopolymer networks: A review

AU - de Kort, D.W.

AU - van Duynhoven, J.P.M.

AU - van As, H.

AU - Mariette, F.

PY - 2015

Y1 - 2015

N2 - At the submicron scale, food biopolymer networks can be visualized by a wide array of microscopic techniques, but these methods are mostly invasive and require careful image analysis in order to quantify network features. ‘Nanoparticle diffusometry’ provides a non-invasive alternative to infer quantitative submicron structural information about biopolymer networks. In this approach, spectroscopy-based methods are used to monitor hindered diffusion of nanoparticles due to network obstructions. Both rigid-spherical and flexible nanoparticles can be used and models are available to derive structural network parameters. A range of applications to polysaccharide and protein sols and gels has been described. The approach offers opportunities to assess (sub-)micron scale network heterogeneity and changes in sub-micron structure under dynamical conditions such as shear or aging.

AB - At the submicron scale, food biopolymer networks can be visualized by a wide array of microscopic techniques, but these methods are mostly invasive and require careful image analysis in order to quantify network features. ‘Nanoparticle diffusometry’ provides a non-invasive alternative to infer quantitative submicron structural information about biopolymer networks. In this approach, spectroscopy-based methods are used to monitor hindered diffusion of nanoparticles due to network obstructions. Both rigid-spherical and flexible nanoparticles can be used and models are available to derive structural network parameters. A range of applications to polysaccharide and protein sols and gels has been described. The approach offers opportunities to assess (sub-)micron scale network heterogeneity and changes in sub-micron structure under dynamical conditions such as shear or aging.

KW - semidilute polymer-solutions

KW - field gradient nmr

KW - fluorescence correlation spectroscopy

KW - casein gel microstructure

KW - globular protein gels

KW - self-diffusion

KW - pfg-nmr

KW - probe diffusion

KW - poly(ethylene glycol)s

KW - aggregation phenomena

U2 - 10.1016/j.tifs.2014.11.003

DO - 10.1016/j.tifs.2014.11.003

M3 - Article

VL - 42

SP - 13

EP - 26

JO - Trends in Food Science and Technology

JF - Trends in Food Science and Technology

SN - 0924-2244

IS - 1

ER -