Development of a machine learning-based method for the analysis of microplastics in environmental samples using µ-Raman spectroscopy
Abstract This research project investigates the potential of machine learning for the analysis of microplastic Raman spectra in environmental samples. Based on a data set of > 64,000 Raman spectra (10.7% polymer spectra) from 47 environmental or waste water samples, two methods of deep learning (...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-04-01
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| Series: | Microplastics and Nanoplastics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43591-023-00057-3 |