摘要
以金银花为干燥对象,确定真空干燥工艺条件。通过单因素试验,研究加热温度、干燥室压力和物料量对干燥特性的影响。通过二次回归正交试验,建立干燥时间和物料中绿原酸含量与加热温度、干燥室压力和物料量之间的数学模型。利用多目标非线性优化方法,确定金银花真空干燥的最优工艺参数。结果表明:回归模型具有良好的拟合性,在板温63.6℃、压力800Pa、物料量40g(一层物料)的参数条件下,综合优化分值最高,对应的干燥时间为215min,绿原酸含量为3.34%。利用真空干燥技术进行金银花干燥,可在较短的干燥时间内得到高质量的制品。
The aim of the current study was to identify optimum process parameters for the vacuum drying of honeysuckle.The effects of heating temperature,drying pressure and material loading on drying characteristics were explored through single factor experiments.Meanwhile,two mathematical regression models were fitted with required drying time or chlorogenic acid content as a function of temperature,pressure and material amount.Both models had excellent goodness of fit.Multi-target nonlinear optimization indicated that the optimum vacuum drying parameters were drying temperature of 63.6 ℃,drying pressure of 800 Pa and material loading(a single layer) of 40 g,resulting in the highest comprehensive evaluation of required drying time and chlorogenic acid content,which were 215 min and 3.34%,respectively.Vacuum drying can allow the production of high-quality dried honeysuckle in a short time.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2011年第10期75-78,共4页
Food Science
基金
河南省杰出青年基金项目(084100510005)
关键词
金银花
真空干燥
数学模型
优化
honeysuckle
vacuum drying
mathematical model
optimization