Institute of Animal Science, University of Bonn, Katzenburgweg 7-9, 53115 Bonn, Germany.
Philos Trans A Math Phys Eng Sci. 2014 May 5;372(2017):20130308. doi: 10.1098/rsta.2013.0308. Print 2014 Jun 13.
The aim of this study was the development of a quality tracing model for vacuum-packed lamb that is applicable in different meat supply chains. Based on the development of relevant sensory parameters, the predictive model was developed by combining a linear primary model and the Arrhenius model as the secondary model. Then a process analysis was conducted to define general requirements for the implementation of the temperature-based model into a meat supply chain. The required hardware and software for continuous temperature monitoring were developed in order to use the model under practical conditions. Further on a decision support tool was elaborated in order to use the model as an effective tool in combination with the temperature monitoring equipment for the improvement of quality and storage management within the meat logistics network. Over the long term, this overall procedure will support the reduction of food waste and will improve the resources efficiency of food production.
本研究旨在为真空包装羊肉开发一种质量可追溯模型，适用于不同的肉类供应链。基于相关感官参数的开发，通过将线性主模型和 Arrhenius 模型组合为二次模型来开发预测模型。然后进行了过程分析，以定义在肉类供应链中实施基于温度模型的一般要求。为了在实际条件下使用该模型，开发了用于连续温度监测的硬件和软件。进一步阐述了决策支持工具，以便将该模型与温度监测设备结合使用，作为提高肉类物流网络内质量和存储管理的有效工具。从长远来看，这一整套程序将有助于减少食物浪费，并提高食品生产的资源效率。
