Metilli, L, Francis, M, Povey, M orcid.org/0000-0002-9740-2596 et al. (4 more authors) (2020) Latest advances in imaging techniques for characterizing soft, multiphasic food materials. Advances in Colloid and Interface Science, 279. 102154. ISSN 0001-8686
Abstract
Over the last two decades, the development and production of innovative, customer-tailored food products withenhanced health benefits have seen major advances. However, the manufacture of edible materials with tunedphysical and organoleptic properties requires a good knowledge of food microstructure and its relationship tothe macroscopic properties of thefinal food product. Food products are complex materials, often consisting ofmultiple phases. Furthermore, each phase usually contains a variety of biological macromolecules, such as carbo-hydrates, proteins and lipids, as well as water droplets and gas bubbles. Micronutrients, such as vitamins andminerals, might also play an important role in determining and engineering food microstructure. Consideringthis complexity, highly advanced physio-chemical techniques are required for characterizing the microstructureof food systems prior to, during and after processing. Fast,in situtechniques are also essential for industrial ap-plications. Due to the wide variety of instruments and methods, the scope of this paper is focused only on the lat-est advances of selected food characterization techniques, with emphasis on soft, multi-phasic food materials.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier B.V. This is an author produced version of a paper published in Advances in Colloid and Interface Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Food; Soft matter; Characterization; Microscopy; Imaging |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Colloids and Food Processing (Leeds) |
Funding Information: | Funder Grant number Royal Society INF\R2\192018 |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Apr 2020 10:21 |
Last Modified: | 08 Apr 2021 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.cis.2020.102154 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:159317 |
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