What Goes Around Should Not Move Around: Immobilizing Microplastics as a New Approach for Analytical Ring Trials

• Published in: Environmental science & technology 2024-12, Vol.58 (50), p.22224-22234
• Main Authors: Lenz, Robin, Enders, Kristina, Vizsolyi, Eva Cseperke, Schumacher, Mareike, Lötsch, Julia, Löder, Martin G. J., Eder, Gabriele, Voronko, Yuliya, Andrade-Garda, José Manuel, Muniategui-Lorenzo, Soledad, Laforsch, Christian, Fischer, Dieter, Labrenz, Matthias
• Format: Article
• Language: English
• Subjects: Data Science; Environmental Monitoring - methods; Filtration; Immobilization; Microplastics; Particle Size; Particulate Matter; Performance assessment; Plastic debris; Plastic pollution; Pollution sources; Polymers; Uncertainty analysis
• ISSN: 0013-936X; 1520-5851; 1520-5851
• DOI: 10.1021/acs.est.4c09427

Microplastics have gained importance as pervasive environmental particulate pollutants. Their analysis demands precise quantification methods, with interlaboratory comparisons (ILCs) being crucial for performance assessment. Typically, ILCs follow a parallel design: participants each analyze their own sample specimen, often with significant variability due to challenges in producing identical subsamples of the particulate analyte, inseparably masking the relevant uncertainty sources the ILC intends to measure. We provide a filtration-immobilization approach for particles ≤100 μm, creating permanently immobilized microplastics samples. This enables serial ILC designs where participants sequentially measure the same sample. Demonstrating the concept using 5 polymers immobilized on 10 μm pore-sized silicon filters, we expose the specific measurement uncertainty being 77% lower than the total combined uncertainty observed in a parallel ILC (relative standard deviations: 5 and 23%, respectively). Particle immobilization opens further applications in sample archiving and creation of durable reference samples also for other fields of particulate matter research beyond microplastics.