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Our Project

Assessing contaminants in recycled plastics intended for food packaging is an essential but lengthy and complex process.

To overcome this hurdle and speed up qualification procedures, the TwinLoop project, funded by the French National Research Agency (ANR) and coordinated by Sandra Domenek (SayFood – INRAE/AgroParisTech), aims to develop faster and more reliable approaches to ensure the safety of these materials. Using artificial intelligence, rapid analysis tools such as electronic noses and spectroscopy will be developed and validated against high-precision chromatography.

These technologies will be integrated into recycling lines to enable continuous quality monitoring. This will help the industry move forward on its path toward a transparent circular economy that protects consumer health.

Officially launched in June 2025 during a meeting bringing together all project partners, TwinLoop brings together, over a four-year period, 19 academic, technical, and industrial stakeholders covering the entire recycling chain. The project will lead to the creation of a unique database and real-time monitoring tools.

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Project Organization
(Work Packages)

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WP1

Sample collection and chemical signals library (ONIRIS/LNE)

WP2

Chemometric data treatment for fingerprint classification
(URouen/INRAE-MIA)

WP3

Safety assessment and decision making (Ineris)

WP4

Industrial demonstrators and digital twins (CTCPA)

WP5

Dissemination
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