期刊论文

Research on the platform of prediction and assessment for microorganism in fresh food

中文

武汉轻工大学学报

2095-7386

2014

2

46-51

10.3969/j.issn.2095-7386.2014.02.012

2012BAD35B03:国家科技支撑计划 2012AA101605:国家高技术研究发展计划（863计划） 2013AA102302:国家高技术研究发展计划（863计划）

本校为第一机构

针对如何快速、有效地评估食品的安全，预测出食品的货架期，拟建立一个生鲜食品微生物预测与品质评估管理平台，通过对生鲜食品中微生物菌群基本状况及优势菌群在生长规律的数据采集，分别构建不同的温度下优势菌群的一级和二级生长模型，实现对生鲜食品货架期的预测。阐述了该平台的基本组成，工作流程，主要数据结构和主要数学模型。该平台能帮助预测生鲜食品在运输、储存和加工过程中的货架期并进行环境控制。

According to the problem of assessment of the products quality and safety ,and predicting the shelf-life of products, this paper presents a platform of predicting and assessing for microorganism in fresh food .Through the collecting of microbial growth data , we can set up primary and secondary models to describe the growth dynamics of specific spoilage organisms at different temperature , thus realize the prediction the shelf-life of products .We illus-trate the components , process , main data structure and main mathematics models of the platform .The platform can help to predict the shelf l...