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Towards quality-assured measurements of microplastics in soil using fluorescence microscopy

Analytical and Bioanalytical Chemistry 2025 9 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 53 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Melanie Braun, Quynh Nhu Phan Le, Melanie Braun, Wulf Amelung, Quynh Nhu Phan Le, Olivia Wrigley, Olivia Wrigley, Quynh Nhu Phan Le, Quynh Nhu Phan Le, Quynh Nhu Phan Le, Olivia Wrigley, Olivia Wrigley, Stoyana Peneva, Stoyana Peneva, Stoyana Peneva, Melanie Braun, Quynh Nhu Phan Le, Crispin Halsall, Quynh Nhu Phan Le, Melanie Braun, Ben Surridge Wulf Amelung, Crispin Halsall, Crispin Halsall, Crispin Halsall, Quynh Nhu Phan Le, Quynh Nhu Phan Le, Melanie Braun, Ben Surridge Ben Surridge Wulf Amelung, Quynh Nhu Phan Le, Crispin Halsall, Crispin Halsall, Quynh Nhu Phan Le, Quynh Nhu Phan Le, Quynh Nhu Phan Le, Quynh Nhu Phan Le, Wulf Amelung, Olivia Wrigley, John Quinton, Melanie Braun, Melanie Braun, Wulf Amelung, Stoyana Peneva, Stoyana Peneva, Olivia Wrigley, Olivia Wrigley, Olivia Wrigley, Wulf Amelung, Crispin Halsall, Olivia Wrigley, Olivia Wrigley, Olivia Wrigley, Olivia Wrigley, Olivia Wrigley, Crispin Halsall, Olivia Wrigley, Olivia Wrigley, Olivia Wrigley, Melanie Braun, Crispin Halsall, Wulf Amelung, Wulf Amelung, Wulf Amelung, Ben Surridge Melanie Braun, Lorna Ashton, Melanie Braun, Wulf Amelung, Crispin Halsall, John Quinton, Lorna Ashton, John Quinton, John Quinton, Wulf Amelung, Melanie Braun, Melanie Braun, Ben Surridge John Quinton, Crispin Halsall, John Quinton, Wulf Amelung, Ben Surridge Ben Surridge John Quinton, John Quinton, Melanie Braun, Melanie Braun, Wulf Amelung, Melanie Braun, Wulf Amelung, Wulf Amelung, Melanie Braun, Wulf Amelung, John Quinton, Wulf Amelung, Ben Surridge

Summary

Researchers tested a fluorescence microscopy method with Nile Red staining for detecting microplastics in different soil types, achieving 80-90% recovery rates for particles larger than 500 micrometers. However, recovery dropped significantly for smaller particles and biodegradable plastics, particularly in clayey soils. The study developed a semi-automated image analysis pipeline and provides quality assurance guidelines for using fluorescence microscopy as a high-throughput microplastic detection method in soil research.

Fluorescence microscopy is increasingly seen as a fast, user-friendly, and high-throughput method for detecting microplastics (MPs) in soil; however, its effectiveness across diverse MP types and soil properties remains underexplored. This study tested a fluorescence microscopy-Nile red (NR) staining approach on eight MP types, covering both biodegradable and non-biodegradable plastics, in three size ranges (≤ 150 µm, 100-250 µm, 500-1000 µm) across loamy, clayey, and sandy soils. Each sample, processed in triplicate, underwent a relatively quick and straightforward extraction procedure involving density separation, organic digestion, and NR staining, followed by fluorescence and bright-field microscopy. A new digital image analysis pipeline using Image J was developed to expedite and (semi)automate MP quantification. Recoveries ranged from 80% to 90% for MPs with a Feret diameter of 500-1000 µm, regardless of soil type. In contrast, the recovery of smaller MPs (Feret dia. ≤ 250 µm) varied depending on the soils and plastic types: recoveries for low-density polyethylene (LDPE) reached 85% in sandy soil and 90% in loamy soil, whereas those for biodegradable polybutylene adipate terephthalate/polylactic acid (PBAT/PLA) were only 60% and 10%, respectively. The lowest recovery rate was observed in clayey soil and for biodegradable plastics. The method was tested on non-agricultural soil samples, yielding a MP mean number concentration of 20.7 ± 9.0 MPs/g for MPs sized from dia. ≥ 25 µm, comparable to Fourier transform infrared (FPA-µ-FTIR) results of 13.1 ± 7.3 MPs/g (p > 0.05). We conclude that fluorescence microscopy with NR staining and automated particle quantification offers a time-efficient, reproducible, and accurate method for MP detection in light-textured soils, whereas limitations remain for reliable MP analysis in clay-dominated soils.

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