Crystallization Kinetics of Cocoa Fat Systems: Experiments and Modeling

• Published in: Journal of the American Oil Chemists' Society 2008-12, Vol.85 (12), p.1115-1126
• Main Authors: Padar, S, Jeelani, S. A. K, Windhab, E. J
• Format: Article
• Language: English
• Subjects: Agriculture; Avrami; Biological and medical sciences; Biomaterials; Biotechnology; Chemistry; Chemistry and Materials Science; Chocolate; Cocoa; Cocoa butter; Confectionery products and chocolate industries, honey; Crystal growth; Crystal lattices; Crystallization; Crystals; Experimental data; Fat industries; Food industries; Food Science; Fundamental and applied biological sciences. Psychology; Grain; Growth kinetics; Industrial Chemistry/Chemical Engineering; mathematical models; milk chocolate; Molecular weight; Nucleation; Original Paper; Seeding; Solid fat content; Solids; Stochastic models; Temperature; Triacylglycerol
• ISSN: 0003-021X; 0079-6700; 1558-9331
• DOI: 10.1007/s11746-008-1312-0

Isothermal crystallization kinetics of unseeded and seeded cocoa butter and milk chocolate is experimentally investigated under quiescent conditions at different temperatures in terms of the temporal increase in the solid fat content. The theoretical equations of Avrami based on one-, two- and three-dimensional crystal growth are tested with the experimental data. The equation for one-dimensional crystal growth represents well the kinetics of unseeded cocoa butter crystallization of form α and β'. This is also true for cocoa butter crystal seeded milk chocolate. The sterical hindrance due to high solids content in chocolate restricts crystallization to lineal growth. In contrast, the equation for two-dimensional crystal growth fits best the seeded cocoa butter crystallization kinetics. However, a transition from three- to one-dimensional growth kinetics seems to occur. Published data on crystallization of a single component involving spherulite crystals are represented well by Avrami's three-dimensional theoretical equation. The theoretical equations enable the determination of the fundamental crystallization parameters such as the probability of nucleation and the number density of nuclei based on the measured crystal growth rate. This is not possible with Avrami's approximate equation although it fits the experimental data well. The crystallization can be reasonably well defined for single component systems. However, there is no model which fits the multicomponent crystallization processes as observed in fat systems.