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3D Confocal Laser Scanning Microscopy for Quantification of the Phase Behaviour in Agarose-MCC co-gels in Comparison to the Rheological Blending-law Analysis

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Abstract

The need for a rapid and direct alternative to the rheology-based blending laws in quantifying phase behaviour in biopolymer composite gels is explored in this study. In doing so, the efficacy of confocal laser scanning microscopy (CLSM) paired with image analysis software – FIJI and Imaris - in quantifying phase volume was studied. That was carried out in a model system of agarose with varying concentrations of microcrystalline cellulose (MCC) in comparison to the rheological blending laws. Structural studies performed using SEM, FTIR, differential scanning calorimetry and dynamic oscillation in-shear unveiled a continuous, weak agarose network supporting the hard, rod-shaped MCC inclusions where the composite gel strength increased with higher ‘filler’ concentration. The phase volumes of MCC, estimated with the microscopic protocol, matched the predictions obtained from computerized modelling using the Lewis-Nielsen blending laws. Results highlight the suitability of the microscopic protocol in estimating the water partition and effective phase volumes in the agarose-MCC composite gel.

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References

  1. K. Prameela, C.Murali Mohan, C. Ramakrishna, Chap. 1 - Biopolymers for Food Design: Consumer-Friendly Natural Ingredients, in Biopolymers for Food Design, ed. by A.M. Grumezescu, A.M. Holban (Academic Press, Cambridge, 2018), p. 1–32

  2. C. Stenger et al., Formation of concentrated biopolymer particles composed of oppositely charged WPI and pectin for food applications. J. Dispersion Sci. Technol. 38(9), 1258–1265 (2017)

    Article  CAS  Google Scholar 

  3. V. Tolstoguzov, Ionic strength and poly ion charges. Int. Food Ingred. 2, 8–9 (1990)

    Google Scholar 

  4. M.M.G. Koning, J. van Eendenburg, D.W. de Bruijne, Mixed Biopolymers in Food Systems: Determination of Osmotic Pressure, in Food Colloids and Polymers, ed. by E. Dickinson, P. Walstra (Woodhead Publishing. Cambridge, 2005), p. 103–112

  5. T. Giancone et al., Protein–polysaccharide interactions: Phase behaviour of pectin–soy flour mixture. Food Hydrocoll. 23(5), 1263–1269 (2009)

    Article  CAS  Google Scholar 

  6. P.D. Pudney, T.M. Hancewicz, D.G. Cunningham, The use of confocal Raman spectroscopy to characterise the microstructure of complex biomaterials: foods. J. Spectrosc. 16(3–4), 217–225 (2002)

    Article  CAS  Google Scholar 

  7. L.E. Nielsen, in Morphology and the elastic modulus of block polymers and polyblends, in Rheological Theories· Measuring Techniques in Rheology Test Methods in Rheology· Fractures Rheological Properties of Materials· Rheo-Optics· Biorheology. (Springer, Berlin, 1975), p. 594–600

  8. M. Takayanagi, H. Harima, Y. Iwata, Viscoelastic behaviour of polymer blends and its comparison with model experiments. Mem. Fac. Eng. Kyusha Univ. 23, 1–13 (1963)

    Google Scholar 

  9. X. Li et al., Studies of phase separation in soluble rice protein/different polysaccharides mixed systems. LWT Food Sci. Technol. 65, 676–682 (2016)

    Article  CAS  Google Scholar 

  10. T. Moschakis et al., in Microrheology and microstructure of water-in-water emulsions containing sodium caseinate and locust bean gum. Food Funct. 9(5), 2840–2852 (2018)

    Article  CAS  Google Scholar 

  11. H. Pan et al., Effect of the extent and morphology of phase separation on the thermal behavior of co-blending systems based on soy protein isolate/alginate. Food Hydrocoll. 52, 393–402 (2016)

    Article  CAS  Google Scholar 

  12. N. Lorén, M. Langton, A.M. Hermansson, Confocal laser scanning microscopy and image analysis of kinetically trapped phase-separated gelatin/maltodextrin gels. Food Hydrocoll. 13(2), 185–198 (1999)

    Article  Google Scholar 

  13. J.C.G. Blonk et al., A new CSLM-based method for determination of the phase behaviour of aqueous mixtures of biopolymers. Carbohyd. Polym. 28(4), 287–295 (1995)

    Article  CAS  Google Scholar 

  14. P. Mhaske et al., Quantitative analysis of the phase volume of agarose-canola oil gels in comparison to blending law predictions using 3D imaging based on confocal laser scanning microscopy. Food Res. Int. 125, 108529 (2019)

    Article  CAS  Google Scholar 

  15. J. Nsor-Atindana et al., Functionality and nutritional aspects of microcrystalline cellulose in food. Carbohyd. Polym. 172, 159–174 (2017)

    Article  CAS  Google Scholar 

  16. N. Russ et al., Influence of nongelling hydrocolloids on the gelation of agarose. Biomacromolecules 14(11), 4116–4124 (2013)

    Article  CAS  Google Scholar 

  17. C. Kyomugasho et al., Evaluation of cation-facilitated pectin-gel properties: Cryo-SEM visualisation and rheological properties. Food Hydrocoll. 61, 172–182 (2016)

    Article  CAS  Google Scholar 

  18. X. Qi et al., Facile formation of salecan/agarose hydrogels with tunable structural properties for cell culture. Carbohyd. Polym. 224, 115208 (2019)

    Article  CAS  Google Scholar 

  19. V. Zamora-Mora et al., Chitosan/agarose hydrogels: Cooperative properties and microfluidic preparation. Carbohydr. Polym. 111, 348–355 (2014)

    Article  CAS  Google Scholar 

  20. C.P. Azubuike, A.O. Okhamafe, Physicochemical, spectroscopic and thermal properties of microcrystalline cellulose derived from corn cobs. Int. J. Recycl. Org. Waste Agric. 1(1), 9 (2012)

    Article  Google Scholar 

  21. H. Toğrul, N. Arslan, Flow properties of sugar beet pulp cellulose and intrinsic viscosity–molecular weight relationship. Carbohyd. Polym. 54(1), 63–71 (2003)

    Article  Google Scholar 

  22. M. Murigi et al., Comparison of physicochemical characteristics of microcrystalline cellulose from four abundant Kenyan biomasses. IOSR J. Polym. Text. Eng. 1(2), 53–63 (2014)

    Article  Google Scholar 

  23. A.J. Gravelle, S. Barbut, A.G. Marangoni, Food-grade filler particles as an alternative method to modify the texture and stability of myofibrillar gels. Sci. Rep. 7(1), 11544 (2017)

    Article  Google Scholar 

  24. C. Semasaka et al., Modeling water partition in composite gels of BSA with gelatin following high pressure treatment. Food Chem. 265, 32–38 (2018)

    Article  CAS  Google Scholar 

  25. L.W. Koh, S. Kasapis, Orientation of short microcrystalline cellulose fibers in a gelatin matrix. Food Hydrocoll. 25(5), 1402–1405 (2011)

    Article  CAS  Google Scholar 

  26. A.A. Karamitrou, G.N. Tsokas, M. Petrou, A pixel-based semi‐stochastic algorithm for the registration of geophysical images. Archaeol. Prospect. 24(4), 413–424 (2017)

    Article  Google Scholar 

  27. T.Y. Goh et al., Performance analysis of image thresholding: Otsu technique. Measurement 114, 298–307 (2018)

    Article  Google Scholar 

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Acknowledgements

The authors acknowledge the facilities and technical assistance of the RMIT University’s Microscopy and Microanalysis Facility.

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  1. School of Science, RMIT University, Bundoora West Campus, Plenty Road, Melbourne, VIC, 3083, Australia

    Pranita Mhaske, Asgar Farahnaky & Stefan Kasapis

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  1. Pranita Mhaske
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  2. Asgar Farahnaky
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  3. Stefan Kasapis
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Correspondence to Stefan Kasapis.

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Mhaske, P., Farahnaky, A. & Kasapis, S. 3D Confocal Laser Scanning Microscopy for Quantification of the Phase Behaviour in Agarose-MCC co-gels in Comparison to the Rheological Blending-law Analysis. Food Biophysics 16, 153–160 (2021). https://doi.org/10.1007/s11483-020-09656-6

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  • DOI: https://doi.org/10.1007/s11483-020-09656-6

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