Abstract
Four sorption isotherm models that express moisture content as a function of both relative humidity and temperature were evaluated by fitting them to a set of sorption data between 21.1 and 71.1°C, with the help of a nonlinear curvefitting program. All of them predicted the sigmoid shape of the sorption isotherms and the shift towards the x-axis as the temperature increased. The calculated root mean square error was used as an indication of the goodness of the fit.
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