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Biphasic short time heat degradation of the blue microalgae protein phycocyanin from Arthrospira platensis

Author:
Böcker, L., Ortmann, S., Surber, J., Leeb, E., Reineke, K., Mathys, A.
Source:
Innovative food science & emerging technologies 2019 v.52 pp. 116-121
ISSN:
1466-8564
Subject:
Arthrospira platensis, absorption, color, continuous systems, dyes, engineering, food coloring, food industry, food processing, food research, heat, heat treatment, microalgae, phosphates, phycocyanin, research and development, thermosensitivity
Abstract:
Stability of colorants is concerning for food coloring matrices, particularly for the only natural blue food coloring, phycocyanin. The Spirulina-based microalgal extract is mainly comprised of heat sensitive protein-chromophore complexes, C-phycocyanin and allophycocyanin. Although frequently encountered in food processing, the impact of short time heat treatments has not been studied systematically. Here, phosphate buffered phycocyanin solution was heated in batch and emerging continuous processing systems, both characterized with high surface-to-volume ratios allowing isothermal conditions with residence times down to 5 s. Absorption scans revealed biphasic degradation of phycocyanin color activity to about 30% within 30 s at T ≥ 70 °C. Kinetic modelling of the color decay via an nth order approach contradicts previously assumed linear first order kinetics with a best fitting empirical reaction order of n = 6. It shows that decay in phycocyanin color activity is not a single process but encompasses C-phycocyanin and allophycocyanin aggregate disintegration and denaturation.Central to this study is the color stability of phycocyanin, which is a high value component, derived from the emerging food source microalgae. It is also the only naturally obtained blue food coloring available to the food industry. Insights could be gained on the color degradation kinetics by treating an industry relevant formulation in batch and emerging scalable continuous systems via micro process engineering. This data will directly support food research and development activities to optimize and minimize blue color losses within multiple product categories.
Agid:
6234396