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The chemistry of contaminant detection

机译:污染物检测化学

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摘要

Machine learning especially is pushing the innovation boundaries in food manufacturing and streamlining production processes. It is a science which requires a deep understanding of the chemical makeup and molecular structures of foods.How fats, proteins, carbohydrates and sugars change during processing and storage will initiate a chemical reaction. To the naked eye, and even taste buds, these changes are barely noticeable. Yet, for wet and conductive foods, such as bread, meats, dairy products and ready meals, to a sensitive metal detector inspecting the same foods over an eight hour shift, they can appear like completely different products.Thermal changes and water content are the main factors that can interfere with metal detector signals. Dealing with higher amplitudes of product signal can be especially pronounced in some processing plants.
机译:机器学习特别是推动食品制造和简化生产过程中的创新边界。 它是一种需要深入了解食品的化学化妆和分子结构的科学。在加工和储存过程中,脂肪,蛋白质,碳水化合物和糖变化将引发化学反应。 对于肉眼,甚至味蕾,这些变化几乎没有明显。 然而,对于潮湿和导电食品,如面包,肉类,乳制品和准备饭菜,对一个敏感的金属探测器检查相同的食物超过八小时的班次,它们可以出现完全不同的产品。热变化和含水量是 可以干扰金属探测器信号的主要因素。 处理较高的产品信号的处理在一些加工厂中可以特别明显。

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