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Identifying plastics with photoluminescence spectroscopy and machine learning
A quantitative understanding of the worldwide plastics distribution is required not only to assess the extent and possible impact of plastic litter on the environment but also to identify possible counter measures. A systematic collection of data characterizing amount and composition of plastics has...
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| Autori principali: | , , , , , |
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| Natura: | Articolo |
| Lingua: | inglese |
| Pubblicazione: |
Philipps-Universität Marburg
2022
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| Soggetti: | |
| Accesso online: | PDF Full Text |
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Publikationen im Open Access gefördert durch die UB