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Raman Spectroscopy and Fusion Classification to Identify Plastic Recycables Targeting Microplastics
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Researchers developed a Raman spectroscopy combined with fusion classification approach to identify plastic types in microplastic particles, addressing the practical challenge of accurately distinguishing between different polymers at the small sizes typical of environmental microplastic samples.
Identification of plastic type for microplastic particles (size range of 0.001 mm – 5 mm) is vital to understand the sources and consequences of microplastics in the environment. Fourier- transform infrared and Raman spectroscopy are two dominating techniques used to identify microplastics. The most common method to identify microplastics with spectroscopic data is library searching, a process that utilizes search algorithms against digital databases containing spectra of various plastics. Presented in this study is a new method to utilize spectroscopic data called fusion classification. Fusion classification consists of merging multiple non-optimized classification methods (classifiers) to assign samples into categories (classes). The purpose of this study is to demonstrate the applicability of fusion classification to identify microplastics..
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