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

• DOI: 10.1364/ais.2021.jtu5a.25
• Publication Date: 2021-11-05T15:04:56Z
• Authors: Andreas Peckhaus; Arne Walter; Marian Kraus; Florian Gebert; Frank Duschek
• Keywords: machine learning; chromat aerosol; 13. Climate action; detection of hazardous substances; light scattering

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