Combining LIBS and Raman data for analysis of plastic type mixtures
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU142520" target="_blank" >RIV/00216305:26210/21:PU142520 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Combining LIBS and Raman data for analysis of plastic type mixtures
Popis výsledku v původním jazyce
With increasing amount of plastic waste, the need for its proper identification arises. Techniques used for identification of plastic types today are mainly manual sorting and infrared spectroscopies. Infrared spectroscopies are reliable for identification of manufactured plastics in laboratory. For analysis of post-consumer plastic waste, the usage of infrared spectroscopies is problematic. Laser Induced Breakdown spectroscopy (LIBS) in combination with Raman spectroscopy can be used in situ, stand-off, and faster than infrared spectroscopies. This work focuses on classification of plastic-type mixtures, as this combination of matrices can often be encountered in post-consumer plastic waste. In our experiment, we focus on two types of samples – mixture of polycarbonate (PC) and polystyrene (PS) and mixture of polypropylene (PP) and polyethylene (PE). Every sample set (a mixture of named polymers) is measured on LIBS and Raman systems individually and acquired datasets are fused in data post-processin
Název v anglickém jazyce
Combining LIBS and Raman data for analysis of plastic type mixtures
Popis výsledku anglicky
With increasing amount of plastic waste, the need for its proper identification arises. Techniques used for identification of plastic types today are mainly manual sorting and infrared spectroscopies. Infrared spectroscopies are reliable for identification of manufactured plastics in laboratory. For analysis of post-consumer plastic waste, the usage of infrared spectroscopies is problematic. Laser Induced Breakdown spectroscopy (LIBS) in combination with Raman spectroscopy can be used in situ, stand-off, and faster than infrared spectroscopies. This work focuses on classification of plastic-type mixtures, as this combination of matrices can often be encountered in post-consumer plastic waste. In our experiment, we focus on two types of samples – mixture of polycarbonate (PC) and polystyrene (PS) and mixture of polypropylene (PP) and polyethylene (PE). Every sample set (a mixture of named polymers) is measured on LIBS and Raman systems individually and acquired datasets are fused in data post-processin
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10406 - Analytical chemistry
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů