Development of evaluation techniques for plastic degradation based on Raman spectroscopy
| Project/Area Number |
15K05589
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Green/Environmental chemistry
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| Research Institution | Kindai University |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | プラスチック識別 / プラスチック劣化 / ラマン分光法 / 表面増強ラマン / 銀ナノ粒子 / サポートベクターマシン / 主成分分析 / プラスチックリサイクル / マテリアルリサイクル / 促進暴露試験 / 多変量スペクトル解析 / 酸化誘導時間 |
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| Outline of Final Research Achievements |
This project is aiming the development of evaluation techniques for components and the degree of deterioration of plastics to sort and collect waste plastics in online real-time which are important recycling resources. An experimental apparatus of Raman spectroscopy was manufactured with simple operation and high acquisition rate and the accelerated exposure pieces were prepared as a standard degradation sample in the first stage. We have found useful correlation between some peak intensities in the plastic Raman spectra and the degree of deterioration of plastics. In order to improve the degradation evaluation, we have also technologically developed a signal gaining method based surface-enhanced Raman scattering (SERS) with silver nanoparticles and a numerical data analysis method with support vector machine (SVM) of pattern recognition for the Raman spectra.
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Report
(4 results)
Research Products
(7 results)
