Quantitative assessment of visual microscopy as a tool for microplastic research: Recommendations for improving methods and reporting

Syd Kotar, Rae McNeish, Clare Murphy-Hagan, Violet Renick, Chih Fen T. Lee, Clare Steele, Amy Lusher, Charles Moore, Elizabeth Minor, Joseph Schroeder, Paul Helm, Keith Rickabaugh, Hannah De Frond, Kristine Gesulga, Wenjian Lao, Keenan Munno, Leah M. Thornton Hampton, Stephen B. Weisberg, Charles S. Wong, Gaurav AmarpuriRobert C. Andrews, Steven M. Barnett, Silke Christiansen, Win Cowger, Kévin Crampond, Fangni Du, Andrew B. Gray, Jeanne Hankett, Kay Ho, Julia Jaeger, Claire Lilley, Lei Mai, Odette Mina, Eunah Lee, Sebastian Primpke, Samiksha Singh, Joakim Skovly, Theresa Slifko, Suja Sukumaran, Bert van Bavel, Jennifer Van Brocklin, Florian Vollnhals, Chenxi Wu, Chelsea M. Rochman

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Microscopy is often the first step in microplastic analysis and is generally followed by spectroscopy to confirm material type. The value of microscopy lies in its ability to provide count, size, color, and morphological information to inform toxicity and source apportionment. To assess the accuracy and precision of microscopy, we conducted a method evaluation study. Twenty-two laboratories from six countries were provided three blind spiked clean water samples and asked to follow a standard operating procedure. The samples contained a known number of microplastics with different morphologies (fiber, fragment, sphere), colors (clear, white, green, blue, red, and orange), polymer types (PE, PS, PVC, and PET), and sizes (ranging from roughly 3–2000 μm), and natural materials (natural hair, fibers, and shells; 100–7000 μm) that could be mistaken for microplastics (i.e., false positives). Particle recovery was poor for the smallest size fraction (3–20 μm). Average recovery (±StDev) for all reported particles >50 μm was 94.5 ± 56.3%. After quality checks, recovery for >50 μm spiked particles was 51.3 ± 21.7%. Recovery varied based on morphology and color, with poorest recovery for fibers and the largest deviations for clear and white particles. Experience mattered; less experienced laboratories tended to report higher concentration and had a higher variance among replicates. Participants identified opportunity for increased accuracy and precision through training, improved color and morphology keys, and method alterations relevant to size fractionation. The resulting data informs future work, constraining and highlighting the value of microscopy for microplastics.

Original languageEnglish (US)
Article number136449
JournalChemosphere
Volume308
DOIs
StatePublished - Dec 2022

Bibliographical note

Funding Information:
We thank all participants of the method evaluation study including: Alfred-Wegener-Institute; Algalita Marine Research and Education; Barnett Technical Services; BASF; California State University (Bakersfield); California State University (Channel Islands); East China Normal University; Eastman Chemical Company; U.S. Environmental Protection Agency; Eurofins (Australia, Norway, US); HORIBA Scientific; Innovations institut für Nanotechnologie und korrelative Mikroskopie; Institute of Hydrobiology (Chinese Academy of Sciences); Jinan University; NatureWorks LLC; Metropolitan Water District; Norwegian Institute for Water Research; Ontario Ministry of the Environment, Conservation and Parks; Orange County Sanitation District; Oregon State University; Pennsylvania State University; RJ Lee Group; Southern California Coastal Water Research Project Authority; Thermo Fisher (US); University of California (Riverside); University of Minnesota (Duluth); University of Quebec at Rimouski; University of Toronto. We thank R. Butler and Z. Quraishi at SCCWRP for helping with the database. We thank Amy Fetters (California State University Bakersfield), Hinako Nogi (University of California Riverside), Nina T. Buenaventura and Cecille Singdahl-Larsen ( Norwegian Institute for Water Research ), Jerome Jourdan ( BASF ), and Devin Edge ( University of Minnesota Duluth ) for contribution to assisting with sample processing. Funding was provided by the California State Water Resources Control Board and SCCWRP. UC (Riverside) participation was supported in part by USDA NIFA Hatch Program (project number CA-R-ENS-5120-H) and USDA Multistate Project 4170 (project number CA-R-ENS-5189-RR). Sample processing in the Minor Lab was funded by a cooperative agreement between the National Park Service and the University of Minnesota with support from the Great Lakes Restoration Initiative and the National Park Service Water Resources Division.

Funding Information:
We thank all participants of the method evaluation study including: Alfred-Wegener-Institute; Algalita Marine Research and Education; Barnett Technical Services; BASF; California State University (Bakersfield); California State University (Channel Islands); East China Normal University; Eastman Chemical Company; U.S. Environmental Protection Agency; Eurofins (Australia, Norway, US); HORIBA Scientific; Innovations institut für Nanotechnologie und korrelative Mikroskopie; Institute of Hydrobiology (Chinese Academy of Sciences); Jinan University; NatureWorks LLC; Metropolitan Water District; Norwegian Institute for Water Research; Ontario Ministry of the Environment, Conservation and Parks; Orange County Sanitation District; Oregon State University; Pennsylvania State University; RJ Lee Group; Southern California Coastal Water Research Project Authority; Thermo Fisher (US); University of California (Riverside); University of Minnesota (Duluth); University of Quebec at Rimouski; University of Toronto. We thank R. Butler and Z. Quraishi at SCCWRP for helping with the database. We thank Amy Fetters (California State University Bakersfield), Hinako Nogi (University of California Riverside), Nina T. Buenaventura and Cecille Singdahl-Larsen (Norwegian Institute for Water Research), Jerome Jourdan (BASF), and Devin Edge (University of Minnesota Duluth) for contribution to assisting with sample processing. Funding was provided by the California State Water Resources Control Board and SCCWRP. UC (Riverside) participation was supported in part by USDA NIFA Hatch Program (project number CA-R-ENS-5120-H) and USDA Multistate Project 4170 (project number CA-R-ENS-5189-RR). Sample processing in the Minor Lab was funded by a cooperative agreement between the National Park Service and the University of Minnesota with support from the Great Lakes Restoration Initiative and the National Park Service Water Resources Division.

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

  • Accuracy
  • Color
  • Experience
  • Morphology
  • Recovery
  • Size
  • Standardized methods

PubMed: MeSH publication types

  • Journal Article

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