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

Andreas Peckhaus, Arne Walter, Marian Kraus, F. Gebert, F. Duschek
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引用次数: 1

Abstract

: 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. © 2021 The Author(s)
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用光散射和机器学习定量测定气溶胶中有害物质——以电镀过程中铬(VI)为例
危险物质安全使用条例要求公司监测其排放。提出了一种基于角光散射与机器学习相结合的排气气流中Cr(VI)质量浓度测定方法。©2021作者
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