Phase volume quantification of agarose-ghee gels using 3D confocal laser scanning microscopy and blending law analysis: A comparison
| Autor: | Stefan Kasapis, Asgar Farahnaky, Lloyd Condict, Pranita Mhaske, Mina Dokouhaki |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Materials science Scanning electron microscope Biomaterial 04 agricultural and veterinary sciences 040401 food science 01 natural sciences Matrix (chemical analysis) chemistry.chemical_compound 0404 agricultural biotechnology Differential scanning calorimetry chemistry 010608 biotechnology Phase (matter) Agarose Fourier transform infrared spectroscopy Composite material Image analysis Food Science |
| Zdroj: | LWT. 129:109567 |
| ISSN: | 0023-6438 |
| DOI: | 10.1016/j.lwt.2020.109567 |
| Popis: | A thorough understanding of the phase behaviour of biomaterial composites is imperative for manipulating the structural and textural properties in novel food products. This study probed the phase behaviour of a model system comprising agarose and a varying concentration of ghee. Results obtained from scanning electron microscopy (SEM), micro differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR) and dynamic oscillation in-shear revealed discontinuous and hard inclusions of ghee reinforcing the continuous, weaker agarose matrix with increasing concentrations of the former. Phase behaviour of the system was quantified in parallel with a novel method combining 3D confocal laser scanning microscopy (CLSM) imaging and image analysis software - FIJI and Imaris - in an effort to substantiate the efficacy of the microscopic protocol in quantifying phase behaviour. Phase volumes recorded with the microscopic protocol were in close agreement to those modelled with the Lewis-Nielsen blending law using small-deformation dynamic oscillation. However, results indicated that the inner filtering effect or ‘self-shadowing’ observed commonly in CLSM images may pose a limitation to the application of this technique, necessitating further development before it can be applied to more complex, industrially relevant systems. |
| Databáze: | OpenAIRE |
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