摘要
货架期预测模型可以用来预测蔬菜的货架期。文章通过数学模型讨论蔬菜相关品质,如VC降解、叶绿素损失、颜色以及质构的变化;介绍不同研究中使用的Arrhenius模型及相关参数或方程,比如Q10、Weibull方程,Michaelis-Ment-en方程和不同级数的动力学方程,还介绍各个预测模型的局限性。经典的Arrhenius模型结合动力学方程形式有待改进,而Arrhenius方程结合Weibull模型和Michaelis-Menten方程则有望在新鲜蔬菜货架期中广为应用。
Shelf life prediction model can be used to predict the storage time of certain vegetable.This article discusses relevant qualities of vegetable,such as vitamin C degradation,chlorophyll loss,color and texture changes via mathematical models;Arrhenius model applied in different reaserches is introduced with related parameters or equations,such as Q 10,Weibull model,Michaelis-Menten equation and kinetic model with different orders used in various studies,while limitations of each prediction models are also investigated.Classical forms of Arrhenius equation combined with kinetic models need to be improved,while models combined with Weibull model and MichaelisMenten equation were promising used widely in predicting shelf life of fresh vegetables.
出处
《食品与机械》
CSCD
北大核心
2012年第5期163-168,共6页
Food and Machinery
基金
2011年度上海市农业科技成果转化资金项目(编号:113919N0700)
上海市科委工程中心建设(编号:11DZ2292800)
