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An Entity of Type : prov:Entity, within Data Space : webisadb.webdatacommons.org associated with source dataset(s)

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  • Most of the at-risk foods can easily be mixed with products that are difficult to detect, such as non-organic items in organic foods, or powders, pastes or liquids bulked out with fraudulent products.Rounding out the top ten most at-risk foods are: milk, grains, honey and maple syrup, coffee and tea, spices (such as saffron and chilli powder), wine, and certain fruit juices.The report, which has b
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