juni 2020

HALLO TECHNOLOGIE: Measurements in production: Improving hygiene, processing, product quality (free webinar)

On a regular basis we organize practical workshops in the Food Pilot about novelties in food processing. For this event, we chose for a webinar about SENSORS, DATA and DATA PROCESSING. We will discuss the principles, the results of our trials and the pros and cons. We will evaluate how they can offer added value for optimizing production. It includes five lectures and three filmed demos which will be commented and discussed live with you. (In English)

We will highlight challenges in food production including hygiene, food safety and contactless quality monitoring. This involves all food sectors.

This webinar is for free. When registered you will receive a link to join the webinar.

Webinar (FREE) 23rd of June 2020 - Register here now

9:30 Welcome 


  •  9:45: Detection of microbial contamination and targeted cleaning and disinfection. Koen De Reu
  • 10:00: Rapid E. coli detection: a bio-sensor in development. Marc Heyndrickx
  • 10:15 DEMO: Optimizing sterilization: F0 value for translation from pilot to production. Estelle De Paepe

10:35 Coffee break

10:45 Part 2. Spectral & Machine vision technology

  • 10:45 DEMO: Hyper- and multispectral technology: applications in meat and vegetables. Simon Cool
  • 11:15 DEMO: Machine vision using Artificial Intelligence: application example. Simon Cool

11:30 End


Detailed Program 

9:30 Welcome by Karen Verstraete.


9:45 Detection of microbial contamination and targeted cleaning and disinfection.  Koen De Reu.

Hygienic practices before and during production are important to ensure shelf life and to produce safe food. Thorough evaluations of the cleaning and disinfection and tracing of contamination sources and routes are essential.

  • Guidelines for and experiences with microbiological environmental sampling are discussed practically.
  • Practical examples of the use of microbiological hygiene criteria for the assessment of food are also given. 

10:00 Rapid E. coli detection: a bio-sensor in development. Marc Heyndrickx. 

A new biomimetic sensor has been developed that allows a sensitive, fast and specific quantitative detection (LOD 100 cfu/ml) of E. coli in a wide range of concentrations, in both buffer and food (e.g. apple juice).

  • Principle based on recognition of target organism by a specific surface-imprinted polyurethane layer on a chip built into a flow cell.
  • Developed by KU Leuven, in collaboration with ILVO and other research institutions. Further exploration in the Interreg “AgrEUfood” project.  

10:15 DEMO Optimizing sterilization: F0 value for translation from pilot to production. Estelle De Paepe.

The Food Pilot expanded its UHT pilot machine with intensive temperature measurement and real-life data processing. This makes it possible to determine the F0 value more accurately online, and this over the entire course of heating, holding and cooling.

  • The F0 value allows to compare processes on an equivalent basis. This makes a process optimized at pilot scale more translatable to a production scale.
  • Especially for "specialties", such as starchy emulsions, the heat treatment is meticulously tuned to preserve the taste, color and rheology of the product. Material properties can change during heating, especially with these products, which makes a correct determination of the F0 value all the more crucial.

10:35 - 10:45 Coffee break 


10:45 DEMO New sensor techniques for determining the quality of meat.  Simon Cool.

 Results of a small-scale measurement campaign for fast inspection of pork meat quality are shown. Correlations are studied between reference parameters (drip, intra-muscular fat, color, pH, cooking loss), NIR spectrometer data, and hyperspectral images. Live demo of a NIR sensor with meat probe (ASD Labspec 4; Inventech) and a hyperspectral camera (Specim FX10e; Spectrapartners). Study in cooperation with Ghent University (Project Vlevavlees). 

11:05 DEMO Feasibility of vision inspection systems: Which camera offers a solution to my challenge? Simon Cool.

We start from a problem or question. “Can a camera be able to distinguish class X from Y? Which quality parameters can be estimated?”. For this we work step by step. We screen the visual and near infrared spectrum with hyperspectral cameras, looking for wavelengths with useful information. Based on this, commercially available cameras suitable for the application are advised. In the demo we show various cameras, the principles of data processing, and a pilot set-up of conveyor belt with camera for inline sorting.

11:30 End

Organised by

Food Pilot, ILVO, Flanders' FOOD

Supported by

VLAIO Living Lab Agrifood 4.0





Praktische informatie


23 juni 2020 van 09:30 tot 11:30


Brusselsesteenweg 370


Flanders' FOOD