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The Food Detectives: combattere le frodi dall’agricoltura al macellaio

I migliori esperti europei di sicurezza alimentare uniscono le forze per contrastare le frodi. Euronews li segue in questa serie speciale chiamata The Food Detectives. Nel secondo episodio, conoscerai il team che combatte le frodi dall’agricoltura al macellaio.

In collaborazione con the European Union & the Watson Project

ALTRE INFORMAZIONI : http://it.euronews.com/2025/09/22/the-food-detectives-combattere-le-frodi-dallagricoltura-al-macellaio

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00:00Europe's best food safety experts are joining forces to crack down on fraud.
00:06Euronews is following them in this special series called The Food Detectives.
00:11In this episode, we're tracking meat from the farm to the butcher.
00:15We begin in central France, where food detective Donato Anduesa wants to detect cases of fraud
00:31in which lower-priced beef is sold as prime meat.
00:45Pinpointing whether there's any fraud involves costly and time-consuming farm inspections.
01:00But now, at the INRAE French Agricultural Research Centre, Donato and his team have developed
01:07a portable device that uses infrared light to quickly check if beef was grass-fed or not.
01:15So for this meat, what's the conclusion?
01:34From the fields of France to the picturesque German region of Bavaria, where food detective
01:41Andres Romp is researching fraud in chicken meat.
01:45Es gibt Fälle, in denen Hähnchenfleisch mit Flüssigkeiten injiziert wurde, um das Gewicht
01:49zu erhöhen und dadurch einen höheren Marktpreis zu erreichen.
01:53Und diese Verfahren wollen wir feststellen, diesen Prozess wollen wir detektieren, um diesen Lebensmittel,
02:00diese Lebensmittel-Täuschung zu vermeiden und zu reduzieren.
02:04The liquid injected into the chicken imitates the meat, but these food detectives have worked
02:09out how to find it.
02:10In unserem Gerät bestrahlen wir die Probe mit einem Laser, der über die Probe rastert und
02:15damit die Zusammensetzung des Materials analysieren kann.
02:18Diese einzelnen Spektrum setzen wir zusammen zu einem Bild und können diese Verteilungen aus dem
02:23Massenspektrometer mit optischen Bildern vergleichen.
02:25With such precision, it's possible to spot where the liquid is in the chicken, but the food
02:31detectives have to be fast to catch the fraudsters.
02:34Es ist ein Wettlauf sozusagen zwischen den Lebensmittel-Täuschern und den analytischen Methoden-Entwicklern.
02:42Food fraud is most often motivated by money.
02:46Unscrupulous suppliers want to sell a lower quality product for a higher price.
02:52Such cases can end up in a criminal court.
02:54So courts have to be certain when fraud has been committed, and that's when they need
02:59the experts at Germany's Max Rubner Institute.
03:03Dagmar Brueggemann leads the team developing ultra-precise techniques to analyse meat.
03:08Im Rahmen des Watson-Projektes haben wir uns auf Hamburger Burger spezialisiert, wo wir
03:17prüfen können, ob wir eventuelle Beimischungen von Organen und Organfleisch entdecken könnten
03:25und bei welchen Konzentrationen wir es entdecken könnten.
03:28Their goal is to develop a super-sensitive testing system that can be used in legal cases.
03:34And that means scrutinising samples at a molecular level to be much more accurate than rapid tests
03:40that can even lead to false accusations of fraud.
03:43If a method is not exactly right and has a mistake of 25% of a mistake, it means that
03:52you don't recognize false tests, but that there may be a bigger problem that a unverfälsched
04:00test is being false.
04:02That's why the accuracy is so important.
04:05Back in France, Andonato Andoese now plans to test his device to detect grass-fed beef
04:14on cattle from Germany and Spain.
04:17So does he think it's possible to eliminate fraud in his sector?
04:20That's all for this episode.
04:27The Food Detectives Series is part of the EU's Watson Project funded by the Horizon Europe Programme.
04:33Next time, we're in Finland with the experts making farm products you can trust.
04:56See you then.
04:57.
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