非线性曲线拟合法在食品应力松弛数据解析中的应用  

Application of Nonlinear Curve Fitting Method in Analyzing Stress-Relaxation Empirical Data of Foods

作　　者：韩芳[1] 高昕[1] 许加超[1] 付晓婷[1] 李辉[1] 

机构地区：[1]中国海洋大学食品科学与工程学院,山东青岛266003

出　　处：《食品科学》2012年第3期92-96,共5页Food Science

基　　金：教育部新世纪优秀人才支持计划项目(NCET-07-0779);国家自然科学基金项目(30771674);山东省科技攻关计划项目(2007GG10005008158)

摘　　要：通过非线性曲线拟合法解析硬质(火腿)、软质(奶酪)、鱼类(鲈鱼)、贝类(海螺)4种类型食品原料应力松弛曲线,并与传统的逐次近似法解析数据进行比较分析。结果表明:非线性曲线拟合法能够实现对广义Maxwell单元模型的拟合,可得到拟合程度高,稳定可靠的分析结果,而且操作简单、快捷,适合多种食品原料的应力松弛数据解析;对于水分含量高、黏弹性结构复杂的鱼类等食品,非线性曲线拟合法与逐次近似法相比更具优越性。The stress-relaxation curves of four kinds of food materials such as ham （hard）, cheese （soft）, Lateolabraxjaponicas （fish） and whelk （shellfish） were analyzed by nonlinear curve fitting method and the results were compared with those obtained by successive approximation method. The results suggested that the nonlinear curve fitting method could fit the generalized Maxwell model with steady and credible results. In addition the method had the advantages of high fitting degree, ease of operation and swiftness and was suitable to analyze stress-relaxation data of a variety of food materials. Moreover, the method was superior to the successive approximation method for fish and other food materials with a high water content and complicated viscoelasticity.

关 键 词：非线性曲线拟合 食品 应力松弛 Maxwell模型 

分 类 号：TS201.2[轻工技术与工程—食品科学]