Instrument-dependent variability affects both microplastic polymer identification and quantification: an inter-laboratory comparison using polymer standards

Abstract Microplastic analysis is a critical tool for environmental risk assessments and policy development, aligning with several UN Sustainability Goals, however the extent to which analytical outcomes depend on instrument type and spectral reference libraries remains poorly quantified. Here, we present an inter-laboratory comparison study across seven countries evaluating both infrared polymer identification and fluorescent microscopy quantification, using pristine individual polymer standards, mixed polymer standards, and controlled recovery experiments. Participants used standardised protocols and reference materials, differing only in instrument manufacturer, type, reference library, and observer. Our results demonstrate substantial inter-laboratory variability in spectra match quality, polymer identification accuracy, polymer composition in mixed samples, and recovery rates from standardised matrices. Our findings highlight strong instrument- and library-dependent effects on data output despite the implementation of standardised protocols. Collectively, our findings demonstrate that protocol standardisation alone is insufficient to ensure inter-laboratory comparability and that substantial uncertainty persists in reported microplastic composition and abundance. We therefore propose a collaborative approach between researchers and instrument manufacturers encompassing library harmonisation, instrument calibration, and transparent reporting. Without such measures, reported microplastic composition and abundance may continue to reflect laboratory-specific artefacts rather than true environmental variability, ultimately limiting the confidence and policy impact of the reported results.

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Publication Details

Journal
Scientific Reports
Published
2026-07-28
DOI
https://doi.org/10.1038/s41598-026-64477-w
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
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article

Instrument-dependent variability affects both microplastic polymer identification and quantification: an inter-laboratory comparison using polymer standards

Martine Graf, Siyang Ren, Ahmed Mosa, Kai Wang et al.
Scientific Reports
Microplastics and Plastic Pollution
article

Instrument-dependent variability affects both microplastic polymer identification and quantification: an inter-laboratory comparison using polymer standards

Martine Graf, Siyang Ren, Ahmed Mosa, Kai Wang, Xuejun Liu, Yingming Sun, David Chadwick, Changrong Yan, Tien T. Minh, Hao T.T. Dang, Asit Mandal, Ajay Yadav, Hien V. Nguyen, Achini Dias, Sanjay Singh, Jyoti K. Thakur, Mona Tolba, Davey L. Jones, Fan Ding, Shitong Li, Tapan Adhikari, Mojith Ariyaratne, Surani Chathurika, Meththa Gimhani, Samantha Viljoen
article en

Abstract

Abstract Microplastic analysis is a critical tool for environmental risk assessments and policy development, aligning with several UN Sustainability Goals, however the extent to which analytical outcomes depend on instrument type and spectral reference libraries remains poorly quantified. Here, we present an inter-laboratory comparison study across seven countries evaluating both infrared polymer identification and fluorescent microscopy quantification, using pristine individual polymer standards, mixed polymer standards, and controlled recovery experiments. Participants used standardised protocols and reference materials, differing only in instrument manufacturer, type, reference library, and observer. Our results demonstrate substantial inter-laboratory variability in spectra match quality, polymer identification accuracy, polymer composition in mixed samples, and recovery rates from standardised matrices. Our findings highlight strong instrument- and library-dependent effects on data output despite the implementation of standardised protocols. Collectively, our findings demonstrate that protocol standardisation alone is insufficient to ensure inter-laboratory comparability and that substantial uncertainty persists in reported microplastic composition and abundance. We therefore propose a collaborative approach between researchers and instrument manufacturers encompassing library harmonisation, instrument calibration, and transparent reporting. Without such measures, reported microplastic composition and abundance may continue to reflect laboratory-specific artefacts rather than true environmental variability, ultimately limiting the confidence and policy impact of the reported results.

Scientific Reports
University of Peradeniya (LK), Shenyang Agricultural University (CN), Mansoura University (EG), Bangor University (GB), University of Sri Jayewardenepura (LK), Indian Institute of Soil Science (IN), Murdoch University (AU), National Research Centre (EG), Chinese Academy of Agricultural Sciences (CN), Institute of Environment and Sustainable Development in Agriculture (CN), Green Chemistry (PL), The Fertilizer Institute (US), Sri Lanka Institute of Nanotechnology (LK)
Openalex Percentile: Top 17%
Microplastics and Plastic Pollution
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