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For analysis of thin-layer drying data, equilibrium moisture content (EMC) of grains is needed. Two methods to assess equilibrium moisture content values, one based on sorption data (static EMC, Me,) and the other based on non-linear regression of thin-layer drying data (dynamic EMC, Med), were investigated for application to the drying ofcorn and rough rice. The Med values were different from Me, values in the high and low RH ranges. The fitting of thin-layer drying equations for corn kernels and rough rice was improved by adopting the Mell parameter. Validation of the Med concept on other grains needs to be done and relationships among Mell and other factors need to be established.
C. Chen and D.S. Jayas 1998. DYNAMIC EQUILIBRIUM MOISTURE CONTENT FOR GRAIN DRYING. Canadian Agricultural Engineering 40(4):299-303.
Canadian Society for Bioengineering