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Related Experiment Video

Updated: Apr 30, 2026

Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication
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Quality tracing in meat supply chains.

Miriam Mack1, Patrick Dittmer, Marius Veigt

  • 1Institute of Animal Science, University of Bonn, Katzenburgweg 7-9, 53115 Bonn, Germany.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 7, 2014
PubMed
Summary
This summary is machine-generated.

A new quality tracing model for vacuum-packed lamb was developed using sensory parameters and temperature monitoring. This model enhances meat supply chain management, reducing food waste and improving resource efficiency.

Keywords:
logistics networkmeat qualitypredictive modelquality driven distributionshelf lifetemperature monitoring

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Area of Science:

  • Food Science
  • Supply Chain Management
  • Quality Control

Background:

  • Maintaining lamb quality during storage and transport is crucial.
  • Current methods lack comprehensive quality tracing in diverse meat supply chains.
  • Temperature fluctuations significantly impact meat quality.

Purpose of the Study:

  • To develop a versatile quality tracing model for vacuum-packed lamb.
  • To integrate sensory parameters with predictive modeling for accurate quality assessment.
  • To create a practical system for real-time temperature monitoring and quality management in meat logistics.

Main Methods:

  • Developed a predictive model combining linear primary and Arrhenius secondary models.
  • Incorporated relevant sensory parameters into the quality tracing model.
  • Designed hardware and software for continuous temperature monitoring.
  • Created a decision support tool for quality and storage management.

Main Results:

  • A functional quality tracing model for vacuum-packed lamb was successfully developed.
  • The model is applicable across different meat supply chains.
  • The integrated system allows for continuous temperature monitoring and data analysis.
  • A decision support tool aids in optimizing storage and logistics.

Conclusions:

  • The developed model and associated tools provide an effective solution for quality tracing in meat supply chains.
  • Implementation of this system can lead to reduced food waste.
  • Improved resource efficiency in food production and logistics is achievable.
  • This approach supports better quality and storage management within the meat industry.