Quantitative determination of hazardous substances in aerosols by light scattering and machine learning with the example of Cr(VI) in electroplating processes

Regulations of safety usage of hazardous substances impose companies to monitor their emissions. A novel approach determines the mass concentration of Cr(VI) in exhaust airflow based on angular light scattering combined with machine learning algorithms.