摘要
为了更好地指导玉米淀粉及其含物制品的干燥、储藏和包装,需要确定温度对玉米淀粉水分吸附特性的影响,及建立一个包含温度和水活度在内的新吸附等温线模型。根据吸附原理,利用静态调整环境湿度法,测定了玉米淀粉在30℃、45℃和60℃3个温度不同水活度下的吸湿和解吸等温线。结果显示玉米淀粉的等温线属于Ⅱ型等温线,在一定的水活度下随着温度的升高吸附能力下降。随着水活度的增加平衡含水率增加,在整个水活度范围内吸附等温线存在一个很明显的滞后作用。用BP神经网络建立了一个新的吸附等温数学模型,分析表明BP神经网络模型不仅包含水活度和温度2个参数而且拟合程度优于其它的数学模型。
In order to better dry, store and package corn starch and its products, the effect of temperature on the water sorption isotherm for corn starch should be determined, and a new sorption isotherm model including temperature and water activity should be developed. Adsorption and desorption isotherms for corn starch powders were determined at 30℃, 45℃ and 60℃ respectively by means of static-adjusting ambient humidity based on adsorption theory. Results showed that the isotherms of corn starch exhibited Type Ⅱ, the sorption capacity decreased with the increase of temperature at constant water activity and equilibrium moisture content increased with the increase of water activity, sorption isotherm had an evident hysteresis over the entire range of water activity. A new sorption model of corn starch based on BP neural network was developed. The results of analysis showed that BP neural network model included temperature and water activity parameters, and its precision was better than other mathematical models.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2006年第5期176-179,共4页
Transactions of the Chinese Society of Agricultural Engineering
基金
长春市科技攻关计划项目(03-060G33)
