Analysis of car shredder polymer waste with Raman mapping and chemometrics
A novel evaluation method was developed for Raman microscopic quantitative characterization of polymer waste. Car shredder polymer waste was divided into different density fractions by magnetic density separation (MDS) technique, and each fraction was investigated by Raman mapping, which is capable...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Budapest University of Technology
2012-02-01
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| Series: | eXPRESS Polymer Letters |
| Subjects: | |
| Online Access: | http://www.expresspolymlett.com/letolt.php?file=EPL-0002782&mi=cd |
| _version_ | 1818207907189096448 |
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| author | B. Vajna B. Bodzay A. Toldy I. Farkas T. Igricz G. Marosi |
| author_facet | B. Vajna B. Bodzay A. Toldy I. Farkas T. Igricz G. Marosi |
| author_sort | B. Vajna |
| collection | DOAJ |
| description | A novel evaluation method was developed for Raman microscopic quantitative characterization of polymer waste. Car shredder polymer waste was divided into different density fractions by magnetic density separation (MDS) technique, and each fraction was investigated by Raman mapping, which is capable of detecting the components being present even in low concentration. The only method available for evaluation of the mapping results was earlier to assign each pixel to a component visually and to count the number of different polymers on the Raman map. An automated method is proposed here for pixel classification, which helps to detect the different polymers present and enables rapid assignment of each pixel to the appropriate polymer. Six chemometric methods were tested to provide a basis for the pixel classification, among which multivariate curve resolution-alternating least squares (MCR-ALS) provided the best results. The MCR-ALS based pixel identification method was then used for the quantitative characterization of each waste density fraction, where it was found that the automated method yields accurate results in a very short time, as opposed to manual pixel counting method which may take hours of human work per dataset. |
| first_indexed | 2024-12-12T04:36:22Z |
| format | Article |
| id | doaj.art-cd661376c6a84308a2efb8bffbfd7ca5 |
| institution | Directory Open Access Journal |
| issn | 1788-618X |
| language | English |
| last_indexed | 2024-12-12T04:36:22Z |
| publishDate | 2012-02-01 |
| publisher | Budapest University of Technology |
| record_format | Article |
| series | eXPRESS Polymer Letters |
| spelling | doaj.art-cd661376c6a84308a2efb8bffbfd7ca52022-12-22T00:37:57ZengBudapest University of TechnologyeXPRESS Polymer Letters1788-618X2012-02-016210711910.3144/expresspolymlett.2012.12Analysis of car shredder polymer waste with Raman mapping and chemometricsB. VajnaB. BodzayA. ToldyI. FarkasT. IgriczG. MarosiA novel evaluation method was developed for Raman microscopic quantitative characterization of polymer waste. Car shredder polymer waste was divided into different density fractions by magnetic density separation (MDS) technique, and each fraction was investigated by Raman mapping, which is capable of detecting the components being present even in low concentration. The only method available for evaluation of the mapping results was earlier to assign each pixel to a component visually and to count the number of different polymers on the Raman map. An automated method is proposed here for pixel classification, which helps to detect the different polymers present and enables rapid assignment of each pixel to the appropriate polymer. Six chemometric methods were tested to provide a basis for the pixel classification, among which multivariate curve resolution-alternating least squares (MCR-ALS) provided the best results. The MCR-ALS based pixel identification method was then used for the quantitative characterization of each waste density fraction, where it was found that the automated method yields accurate results in a very short time, as opposed to manual pixel counting method which may take hours of human work per dataset.http://www.expresspolymlett.com/letolt.php?file=EPL-0002782&mi=cdRecyclingmicro-Ramanhyperspectral imagingchemometricspolymer waste |
| spellingShingle | B. Vajna B. Bodzay A. Toldy I. Farkas T. Igricz G. Marosi Analysis of car shredder polymer waste with Raman mapping and chemometrics eXPRESS Polymer Letters Recycling micro-Raman hyperspectral imaging chemometrics polymer waste |
| title | Analysis of car shredder polymer waste with Raman mapping and chemometrics |
| title_full | Analysis of car shredder polymer waste with Raman mapping and chemometrics |
| title_fullStr | Analysis of car shredder polymer waste with Raman mapping and chemometrics |
| title_full_unstemmed | Analysis of car shredder polymer waste with Raman mapping and chemometrics |
| title_short | Analysis of car shredder polymer waste with Raman mapping and chemometrics |
| title_sort | analysis of car shredder polymer waste with raman mapping and chemometrics |
| topic | Recycling micro-Raman hyperspectral imaging chemometrics polymer waste |
| url | http://www.expresspolymlett.com/letolt.php?file=EPL-0002782&mi=cd |
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