Based on the micro-hyperspectral imaging technique, spherical engineered microplastic (polyethylene, 10–45 μm) and microalgae (Isochrysis galbana) (4–7 μm) were identified. In transmittance mode of MHSI, micro image cubes from 400 to 1000 nm were obtained from slides containing MP and MA in thin seawater. Classifiers like Support Vector Machine (SVM(Radial Basis Function (RBF))), Least Squares Support Vector Machine (LSSVM(RBF)), k-Nearest Neighbors, etc. were adopted and compared to classify MP and MA. In order to expand the imaging range of micro imaging, image stitching technology was adopted. In allusion to the stitched image cube, SVM(RBF) is suggested for the identification of MA and MP, with recall and precision > 0.86. The above results demonstrate that the MHSI is a promising technique, which can detect MPs with particle size Limit of Detection of 10–45 μm, and it is potential to further expand this LOD.
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This work was financially supported by the National Natural Science Foundation of China (Grant Number: 31801619), the Natural Science Foundation of Zhejiang Province (Grant Numbers: LY18F050002, LY19F050016), and the National Key R&D Program of China (Grant Number: 2016YFC1402403). The authors will thank Huahong Shi (ORCID: 0000-0003-2978-0680) for his help in work polish.
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Huang, H., Sun, Z., Zhang, Z. et al. The Identification of Spherical Engineered Microplastics and Microalgae by Micro-hyperspectral Imaging. Bull Environ Contam Toxicol (2021). https://doi.org/10.1007/s00128-021-03131-9
- Micro-hyperspectral imaging
- Image stitching