Machine learning can reduce concerns about nanoparticles in food

While crop yield has achieved a substantial boost from nanotechnology in recent years, alarms over the health risks posed by nanoparticles in fresh produce and grains have also increased. Nanoparticles entering the soil through irrigation, fertilizers and other sources have raised concerns about whether plants absorb these minute particles enough to cause toxicity.

In a study published in the journal Environmental Science and Technology, researchers at Texas A&M University used machine learning to evaluate the properties of metallic nanoparticles that make them more susceptible to plant uptake. The researchers say their algorithm could indicate how much plants accumulate nanoparticles in their roots and shoots.

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