Quantitative determination of hazardous substances in aerosols by light scattering and machine learning with the example of Cr(VI) in electroplating processes
| Autor: | Arne Walter, Andreas Peckhaus, Florian Gebert, Marian Kraus, Frank Duschek |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Materials science
business.industry Forward scatter Scattering Airflow Machine learning computer.software_genre light scattering Light scattering machine learning Hazardous waste chromat aerosol Mass concentration (chemistry) detection of hazardous substances Artificial intelligence business Electroplating Polarization (electrochemistry) computer |
| DOI: | 10.1364/ais.2021.jtu5a.25 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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