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Indirect Color Prediction of Amorphous Carbohydrate Melts as a Function of Thermal History
Author(s) -
Sleeuwen Rutger M. T.,
Gosse Anaїck J.,
Normand Valery
Publication year - 2013
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/1750-3841.12153
Subject(s) - maltodextrin , arrhenius equation , arrhenius plot , browning , transmittance , amorphous solid , chemistry , isothermal process , kinetics , materials science , analytical chemistry (journal) , thermodynamics , activation energy , organic chemistry , food science , optoelectronics , physics , spray drying , quantum mechanics
Glassy carbohydrate microcapsules are widely used for the encapsulation of flavors in food applications, and are made using various thermal processes (for example, extrusion). During manufacturing, these carbohydrate melts are held at elevated temperatures and color can form due to nonenzymatic browning reactions. These reactions can negatively or positively affect the color and flavor of microcapsules. The rate of color formation of maltodextrin and maltodextrin/sucrose melts at elevated temperatures was determined spectrophotometrically and was found to follow pseudo zero‐order kinetics. The effect of temperature was adequately modeled by an Arrhenius relationship. Reaction rate constants and Arrhenius parameters were determined for individual wavelengths in the visible range (360 to 700 nm at 1 nm intervals). Transient processes (temperature changes with time) were modeled as a sequence of small isothermal events, and the equivalent thermal history at a reference temperature calculated using the Arrhenius relationship. Therefore, spectral transmittance curves could be predicted with knowledge of the time/temperature relationship. Validation was conducted by subjecting both melts to a transient thermal history. Experimental transmittance spectrum compared favorably against predicted values. These spectra were optionally converted to any desirable color space (for example, CIELAB, XYZ, RGB ) or derived parameter (for example, Browning Index ). The tool could be used to better control nonenzymatic browning reactions in industrial food processes.