Modeling the time-temperature behaviour of meat spoilage

被引:0
作者
Kreyenschmidt, J [1 ]
Peters, N [1 ]
Petersen, B [1 ]
Kunz, B [1 ]
机构
[1] Inst Physiol Biochem & Hyg Tiere, D-53115 Bonn, Germany
来源
FLEISCHWIRTSCHAFT | 2002年 / 82卷 / 06期
关键词
meat spoilage; quality parameter; shelf life; kinetic of spoilage; temperature monitoring; time-temperature-integrator;
D O I
暂无
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Meat has formed a part of the human diet and so customer assurance in this part is of great interest. The quality of fresh meat depends mostly on the specific spoilage micro flora, which is influenced by intrinsic and extrinsic factors. Mostly important is the temperature. It largely determines the rate of microbial activity, sensoric and enzymatic parameters. So a time-temperature correlation (2-20degreesC) between measured microbiological activity, sensoric expression and biochemical changes concerning poultry meat is established. Modeling the time-temperature behaviour can be used to determine the shelf-life. The response of time-temperature integrators from similar storage experiments were also modeled with the aim to decide if such TTIs can be used for monitoring and controlling the quality of fresh meat.
引用
收藏
页码:102 / 104
页数:3
相关论文
共 50 条
[41]   Development and characterization of an enzymatic time-temperature indicator (TTI) based on Aspergillus niger lipase [J].
Wu, Dan ;
Hou, Shijuan ;
Chen, Jianchu ;
Sun, Yujing ;
Ye, Xingqian ;
Liu, Donghong ;
Meng, Ruifeng ;
Wang, Yajun .
LWT-FOOD SCIENCE AND TECHNOLOGY, 2015, 60 (02) :1100-1104
[42]   Modelling, responses and applications of time-temperature indicators (TTIs) in monitoring fresh food quality [J].
Gao, Tingting ;
Tian, You ;
Zhu, Zhiwei ;
Sun, Da-Wen .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2020, 99 :311-322
[43]   Application of Time-Temperature Indicator/Integrator Based on the Maillard Reaction to Frozen Food Distribution [J].
Tsujihashi, Marin ;
Tanaka, Saki ;
Koayama, Kento ;
Koseki, Shigenobu .
FOOD AND BIOPROCESS TECHNOLOGY, 2022, 15 (06) :1343-1358
[44]   A sterilisation Time-Temperature Integrator based on amylase from the hyperthermophilic organism Pyrococcus furiosus [J].
Tucker, G. S. ;
Brown, H. M. ;
Fryer, P. J. ;
Cox, P. W. ;
Poole, F. L., II ;
Lee, H. -S. ;
Adams, M. W. W. .
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES, 2007, 8 (01) :63-72
[45]   Heat-activated time-temperature integrator indicating instant cup noodle doneness [J].
Yang, Jung Hwa ;
Kim, Do Hyeon ;
Lee, Seung Ju .
JOURNAL OF FOOD ENGINEERING, 2019, 256 :37-45
[46]   Detection of meat spoilage bacteria by using the polymerase chain reaction [J].
Venkitanarayanan, KS ;
Khan, MI ;
Faustman, C .
JOURNAL OF FOOD PROTECTION, 1996, 59 (08) :845-848
[47]   An Asymmetric Neuro-Fuzzy Model for the Detection of Meat Spoilage [J].
Kodogiannis, Vassilis S. ;
Alshejari, Abeer .
2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
[48]   Mathematical Simulation of the Temperature Dependence of Time Temperature Integrator (TTI) and Meat Qualities [J].
Park, Han Jo ;
Shim, Soo Dong ;
Min, Sang-Gi ;
Lee, Seung Ju .
KOREAN JOURNAL FOR FOOD SCIENCE OF ANIMAL RESOURCES, 2009, 29 (03) :349-355
[49]   Lactic acid bacteria and their controversial role in fresh meat spoilage [J].
Pothakos, Vasileios ;
Devlieghere, Frank ;
Villani, Francesco ;
Bjorkroth, Johanna ;
Ercolini, Danilo .
MEAT SCIENCE, 2015, 109 :66-74
[50]   Insight into the Genome of Brochothrix thermosphacta, a Problematic Meat Spoilage Bacterium [J].
Stanborough, Tamsyn ;
Fegan, Narelle ;
Powell, Shane M. ;
Tamplin, Mark ;
Chandry, P. Scott .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2017, 83 (05)