肉类研究2023，Vol.37Issue(10)：42-48,7.DOI:10.7506/rlyj1001-8123-20230817-077
冷鲜肉主要致腐微生物及构建微生物预测模型研究进展
Research Progress in Main Spoilage Microorganisms and Predictive Microbiological Modeling of Chilled Meat
摘要
Abstract
Chilled meat is rich in nutrients but highly susceptible to contamination by spoilage microorganisms during slaughter,processing,storage and transportation.Microbial spoilage in foods has become a major concern for food safety.Predictive models for microbial growth in foods can judge the growth or survival of major spoilage microorganisms in foods,thereby allowing the evaluation and prediction of the quality and safety of meat.The artificial neural network(ANN),a complex nonlinear model,has the advantages of massively parallel processing,distributed storage,high adaptability,and fault tolerance.This paper reviews the main spoilage microorganisms in chilled meat and the application of traditional microbial prediction models and ANN models in meat to provide ideas for constructing microbial growth prediction models in foods.关键词
冷鲜肉/致腐微生物/预测模型/人工神经网络Key words
chilled meat/spoilage microorganisms/artificial neural network/prediction model分类
轻工业引用本文复制引用
王丽,林颖,谭旭,邝金艳,李宗军,王远亮..冷鲜肉主要致腐微生物及构建微生物预测模型研究进展[J].肉类研究,2023,37(10):42-48,7.基金项目
湖南省重点研发计划项目(2022NK2035) （2022NK2035）
2022湖南省农业产业技术体系项目(湘农发2022-67) （湘农发2022-67）
