The Identification of Spherical Engineered Microplastics and Microalgae by Micro-hyperspectral Imaging

Bulletin of Environmental Contamination and Toxicology (2021)Cite this article

Abstract

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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References

  1. Andrady AL, Hamid HS, Torikai A (2003) Effects of climate change and UV-B on materials. Photochem Photobiol Sci 2(1):68–72

    CAS  Article  Google Scholar 

  2. Appleton B, Bradley AP, Wildermoth M (2005) Towards optimal image stitching for virtual microscopy. DICTA’05, pp 44–44. IEEE

  3. Bakir A, O’Connor IA, Rowland SJ, Hendriks AJ, Thompson RC (2016) Relative importance of microplastics as a pathway for the transfer of hydrophobic organic chemicals to marine life. Environ Pollut 219:56–65

    CAS  Article  Google Scholar 

  4. Barnes DK, Galgani F, Thompson RC, Barlaz M (2009) Accumulation and fragmentation of plastic debris in global environments. Philos Trans R Soc B Biol Sci 364(1526):1985–1998

    CAS  Article  Google Scholar 

  5. Besseling E, Wegner A, Foekema EM, Van Den Heuvel-Greve MJ, Koelmans AA (2013) Effects of microplastic on fitness and PCB bioaccumulation by the lugworm Arenicola marina (L.). Environ Sci Technol 47(1):593–600

    CAS  Article  Google Scholar 

  6. Botelho BG, Oliveira LS, Franca AS (2017) Fluorescence spectroscopy as tool for the geographical discrimination of coffees produced in different regions of Minas Gerais State in Brazil. Food Control 77:25–31

    CAS  Article  Google Scholar 

  7. Brennecke D, Duarte B, Paiva F, Caçador I, Canning-Clode J (2016) Microplastics as vector for heavy metal contamination from the marine environment. Estuar Coast Shelf Sci 178:189–195

    CAS  Article  Google Scholar 

  8. Canniff PM, Hoang TC (2018) Microplastic ingestion by Daphnia magna and its enhancement on algal growth. Sci Total Environ 633:500–507

    CAS  Article  Google Scholar 

  9. Chang CI (2003) Hyperspectral imaging: techniques for spectral detection and classification. Kluwer Academic/Plenum Publishers, New York

    Google Scholar 

  10. Cincinelli A, Scopetani C, Chelazzi D, Lombardini E, Martellini T, Katsoyiannis A, Fossi MC, Corsolini S (2017) Microplastic in the surface waters of the Ross Sea (Antarctica): occurrence, distribution and characterization by FTIR. Chemosphere 175:391–400

    CAS  Article  Google Scholar 

  11. Cole M, Lindeque P, Halsband C, Galloway TS (2011) Microplastics as contaminants in the marine environment: a review. Mar Pollut Bull 62(12):2588–2597

    CAS  Article  Google Scholar 

  12. Cole M, Lindeque P, Fileman E, Halsband C, Goodhead R, Moger J, Galloway TS (2013) Microplastic ingestion by zooplankton. Environ Sci Technol 47(12):6646–6655

    CAS  Article  Google Scholar 

  13. Cortes C, Vapnik V (1995) Support vector networks. Mach Learn 20:273–297

    Google Scholar 

  14. Cover TM, Hart PE (1967) Nearest neighbor pattern classification. IEEE Trans Inf Theory IT-13:21–27

    Article  Google Scholar 

  15. Crichton EM, Noël M, Gies EA, Ross PS (2017) A novel, density-independent and FTIR-compatible approach for the rapid extraction of microplastics from aquatic sediments. Anal Methods 9(9):1419–1428

    CAS  Article  Google Scholar 

  16. Dekiff JH, Remy D, Klasmeier J, Fries E (2014) Occurrence and spatial distribution of microplastics in sediments from Norderney. Environ Pollut 186:248–256

    CAS  Article  Google Scholar 

  17. Eriksen M, Lebreton LC, Carson HS, Thiel M, Moore CJ, Borerro JC, Galgani F, Ryan PG, Reisser J (2014) Plastic pollution in the world’s oceans: more than 5 trillion plastic pieces weighing over 250,000 tons afloat at sea. PLoS One 9(12):e111913

    Article  Google Scholar 

  18. Garaba SP, Dierssen HM (2018) An airborne remote sensing case study of synthetic hydrocarbon detection using short wave infrared absorption features identified from marine-harvested macro-and microplastics. Remote Sens Environ 205:224–235

    Article  Google Scholar 

  19. Hidalgo-Ruz V, Gutow L, Thompson RC, Thiel M (2012) Microplastics in the marine environment: a review of the methods used for identification and quantification. Environ Sci Technol 46(6):3060–3075

    CAS  Article  Google Scholar 

  20. La Daana KK, Officer R, Lyashevska O, Thompson RC, O’Connor I (2017) Microplastic abundance, distribution and composition along a latitudinal gradient in the Atlantic Ocean. Mar Pollut Bull 115(1–2):307–314

    Google Scholar 

  21. Lenz R, Enders K, Stedmon CA, Mackenzie DM, Nielsen TG (2015) A critical assessment of visual identification of marine microplastic using Raman spectroscopy for analysis improvement. Mar Pollut Bull 100(1):82–91

    CAS  Article  Google Scholar 

  22. Li J, Liu H, Paul Chen J (2018) Microplastics in freshwater systems: a review on occurrence, environmental effects, and methods for microplastics detection. Water Res 137:362–374

    CAS  Article  Google Scholar 

  23. Mehrubeoglu M, Teng M, Zimba P (2014) Resolving mixed algal species in hyperspectral images. Sensors 14(1):1–21

    Article  Google Scholar 

  24. Miller ME, Kroon FJ, Motti CA (2017) Recovering microplastics from marine samples: a review of current practices. Mar Pollut Bull 123(1–2):6–18

    CAS  Article  Google Scholar 

  25. Mishchenko MI (1993) Light scattering by size–shape distributions of randomly oriented axially symmetric particles of a size comparable to a wavelength. Appl Opt 32(24):4652–4666

    CAS  Article  Google Scholar 

  26. Müller YK, Wernicke T, Pittroff M, Witzig CS, Storck FR, Klinger J, Zumbülte N (2020) Microplastic analysis—are we measuring the same? Results on the first global comparative study for microplastic analysis in a water sample. Anal Bioanal Chem 412(3):555–560

    Article  Google Scholar 

  27. Rajapakse CS, Padalkar MV, Yang HJ, Ispiryan M, Pleshko N (2017) Non-destructive NIR spectral imaging assessment of bone water: comparison to MRI measurements. Bone 103:116–124

    Article  Google Scholar 

  28. Renner G, Schmidt TC, Schram J (2017) A new chemometric approach for automatic identification of microplastics from environmental compartments based on FT-IR spectroscopy. Anal Chem 89(22):12045–12053

    CAS  Article  Google Scholar 

  29. Shan J, Zhao J, Zhang Y, Liu L, Wu F, Wang X (2019) Simple and rapid detection of microplastics in seawater using hyperspectral imaging technology. Anal Chim Acta 1050:161–168

    CAS  Article  Google Scholar 

  30. Shim WJ, Thomposon RC (2015) Microplastics in the ocean. Arch Environ Contam Toxicol 69(3):265–268

    CAS  Article  Google Scholar 

  31. Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Process Lett 9(3):293–300

    Article  Google Scholar 

  32. Wang F, Wong CS, Chen D, Lu X, Wang F, Zeng EY (2018) Interaction of toxic chemicals with microplastics: a critical review. Water Res 139:208–219

    CAS  Article  Google Scholar 

  33. Xie L, Ye X, Liu D, Ying Y (2009) Quantification of glucose, fructose and sucrose in bayberry juice by NIR and PLS. Food Chem 114(3):1135–1140

    CAS  Article  Google Scholar 

  34. Zhang C, Chen X, Wang J, Tan L (2017) Toxic effects of microplastic on marine microalgae Skeletonema costatum: interactions between microplastic and algae. Environ Pollut 220:1282–1288

    CAS  Article  Google Scholar 

  35. Zhang Y, Wang X, Shan J, Zhao J, Zhang W, Liu L, Wu F (2019) Hyperspectral imaging based method for rapid detection of microplastics in the intestinal tracts of fish. Environ Sci Technol 53(9):5151–5158

    CAS  Article  Google Scholar 

  36. Zhao J, Liu L, Zhang Y, Wang X, Wu F (2018) A novel way to rapidly monitor microplastics in soil by hyperspectral imaging technology and chemometrics. Environ Pollut 238:121–129

    Article  Google Scholar 

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Acknowledgements

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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Affiliations

  1. Ocean College, Zhejiang University, Zhoushan, 316021, China

    Hui Huang, Zehao Sun, Zhao Zhang, Xiaojie Chen, Yanan Di & Shuyue Zhan

  2. School of Computer & Computing Science, Zhejiang University City College, Hangzhou, 310015, China

    Fengle Zhu

  3. School of Oceanography, Shanghai Jiaotong University, Shanghai, 200030, China

    Xiaochao Zhang

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  1. Hui Huang
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  2. Zehao Sun
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  3. Zhao Zhang
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  4. Xiaojie Chen
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  5. Yanan Di
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  6. Fengle Zhu
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  7. Xiaochao Zhang
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  8. Shuyue Zhan
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Correspondence to Shuyue Zhan.

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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

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Keywords

  • Micro-hyperspectral imaging
  • Image stitching
  • Identification
  • Microplastics
  • Microalgae