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Environmental Monitoring Program A Step By Step Guide

WHITEPAPER - GENE-UP® TYPER

When Data Science Meets Molecular Biology for Fast and Easy Pathogen Source Tracking for Food Industries


Whitepaper - When Data Science Meets Molecular Biology for Fast and Easy Pathogen Source Tracking for Food Industries

The presence of disease- or spoilage-causing microorganisms (parasites, yeasts and molds, bacteria and viruses) in food can have a major financial impact on food production facilities and result in enormous reputational damage when products need to be recalled and destroyed (Hussain MA, 2013). Despite preventive measures, the number of foodborne pathogen (disease-causing organism) outbreaks are still a significant public health threat worldwide and is impacted by the increased globalization and increased food production (Nazir, 2023; Hussain MA, 2013). In those events, most of the encountered foodborne pathogens are bacteria, with Salmonella, Escherichia coli, Campylobacter and Listeria monocytogenes being the most important causative agents of foodborne diseases (Lee Heeyoung, 2021).

From a food producer perspective, it is essential to take on a preventive approach for pathogen screening instead of a reactive one, since economic analyses have shown that the costs due to foodborne outbreaks are extensively higher than the investments in preventing them...

 

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Table of Contents for the White Paper - What is this white paper about?

  • I. FULFILLING THE NEED FOR A HIGH RESOLUTION, FAST AND EASY-TO-PERFORM PATHOGEN SOURCE TRACKING SOLUTION FOR THE FOOD INDUSTRY 
  • I.I Microbial source tracking and its value for the food industry 
  • I.II Microbial typing techniques currently being used by the food 
  • I.III Filling a technological gap with GENE-UP® TYPER
  • II. GENE-UP® TYPER PROVIDES RELIABLE, HIGH-RESOLUTION DATA TO HELP THE FOOD INDUSTRY IN TAKING INFORMED DECISIONS: CASE STUDIES ON PUBLICLY AVAILABLE AND CUSTOMER DATASETS 
  • II.I Listeria monocytogenes 
  • II.I.I Performance on publicly available data
  • II.I.II Performance on customer datasets comprising a diverse range of food segments
  • II.II Salmonella enterica enterica
  • II.II.I Performance on publicly available data 
  • II.II.II Performance on customer datasets comprising a diverse range of food segments
  • III. GENE-UP® TYPER COMPLEMENTING THE AUGMENTED DIAGNOSTICS SUITE OF SOLUTIONS FOR THE FOOD INDUSTRY 

   

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