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Weathering Data on Microplastics and the Apparent Invulnerability of Laser Direct Infrared Imaging
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A common tool for identifying microplastics, called laser direct infrared spectroscopy, previously relied on a database of only clean, unweathered plastic samples. This study expanded that database to include weathered microplastics and tested how this change affected the identification of microplastics in environmental samples.
Current database for laser direct infrared spectroscopy (LDIR) only consists of pristine microplastics while microplastics found in the environment are likely to have been affected chemically and/or physically by weathering in the environment before being detected. This database expands the use in the identification method by LDIR to include weathered samples and assesses the effects of the updated database on identifying microplastics in environmental samples.
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Photoinduced weathering of plastics and implications for spectral inclusion into matching database for laser direct infrared spectroscopy identification
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A lab study artificially aged nine plastic types to mimic years of sun exposure, then tested whether a common plastic-identifying scanner could still recognize them. Adding these "weathered" plastic signatures to the scanner's reference database improved correct identification of plastics in wastewater treatment plant samples by about 10%, though improvement varied by plastic type.
Enhanced Identification of Weathered Plastics Through the Improvement of Infrared Spectral Libraries
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Researchers developed an improved infrared spectral library specifically designed to identify weathered and degraded plastics that conventional libraries often misidentify. The new library increased match rates by 7.3% for thermally oxidized plastics and improved identification of mechanically abraded samples, addressing a significant gap in accurate microplastic detection and environmental risk assessment.
A Raman database of microplastics weathered under natural environments
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Researchers built a Raman spectral database of weathered microplastics collected from near plastic recycling facilities in eastern China, addressing the problem that weathering alters spectral signatures and causes fluorescence interference. This database improves the accuracy of identifying microplastics in real environmental samples.
Unveiling microplastic spectral signatures under weathering and digestive environments through shortwave infrared hyperspectral sensing
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Weather exposure and digestive processes significantly alter the chemical structure of microplastics — creating new carbonyl and vinyl groups detectable by shortwave infrared hyperspectral sensing — which complicates their identification in environmental samples. This study built a comprehensive spectral database of weathered and digestion-degraded plastics and showed that hyperspectral sensing can still correctly identify roughly 80% of these altered particles, offering a fast, large-area screening tool that could improve environmental microplastic monitoring.
μ-FTIR Reflectance Spectroscopy Coupled with Multivariate Analysis: A Rapid and Robust Method for Identifying the Extent of Photodegradation on Microplastics
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Researchers developed a faster, more sensitive method for identifying weathered microplastics using infrared reflectance spectroscopy combined with statistical analysis. The technique can classify different plastic types and assess their level of sun damage without complex data preprocessing. The approach could improve the speed and accuracy of environmental microplastic monitoring, particularly for particles that have been altered by exposure to sunlight.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.