agrEUfood
Sector: Advanced Electronics • Location: Belgium
Source: Keep.EU
The project will work on an inexpensive and fast way to test food products for possible bacterial contamination during the production process. Detection in the context of industrial quality standards and legal self-checking in the agri-food industry is a necessary but expensive and complicated process. Current practice is aimed at having samples examined by specialized laboratories at regular inte
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The project will work on an inexpensive and fast way to test food products for possible bacterial contamination during the production process. Detection in the context of industrial quality standards and legal self-checking in the agri-food industry is a necessary but expensive and complicated process. Current practice is aimed at having samples examined by specialized laboratories at regular intervals. With this traditional method it can take up to a week to arrive at a final analysis. It is therefore not excluded that certain contaminants are not detected in time, so that the risk of a recall with associated economic loss and damage to the image is real. A recently developed sensor technology can offer a solution here. The technology, based on synthetic receptors and thermal resistance measurements, has shown its added value during the first lab tests. This new technology will be further developed in agrEUfood and tested in practical situations. That will happen at Dürüm Company, a producer of tortilla-based products, and the company Alberts, which uses automated smoothie machines. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | Medium |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
