Detection of Hazardous Chemicals in placenta

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Health

Detection of hazardous chemicals in human placenta with unprecedented speed and precision

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Rice University scientists have demonstrated a new method for detecting the presence of dangerous chemicals from tobacco smoke in human placenta with unprecedented speed and precision.

The research team used a combination of light-based imaging techniques and machine learning ( ML ) algorithms to identify and label polycyclic aromatic hydrocarbons.

Exposure to these chemicals during pregnancy can result in negative health outcomes such as preterm birth, low birth weight and developmental problems.

The research lays the groundwork for expanding ultrasensitive PAH- and PAC-detection technology in biological fluids such as blood and urine.

Other Rice co-authors include computer science doctoral alum Yilong Ju , who developed the ML algorithm.

The research was supported by the National Institutes of Health (P42ES027725 ).

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