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Rapid On-Site and Sensitive Detection of Microplastics Using Zirconium (IV)-Assisted SERS Label
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Researchers developed a novel surface-enhanced Raman spectroscopy technique using a zirconium-based label for rapid, on-site detection of microplastics. The method achieved sensitive and reliable identification of microplastic particles in agricultural and environmental samples. The study offers a promising portable detection approach that could make routine microplastic monitoring more practical and accessible.
Microplastics have emerged as significant pollutants in both terrestrial and marine ecosystems, with their accumulation posing a threat to human health through biomagnification along the food chain. The development of a rapid, on-site and sensitive method for detecting microplastics in agri-food and environmental systems is important for assessing and minimizing their potential risks. In this study, we develop a novel surface-enhanced Raman spectroscopy (SERS) technique for the rapid, on-site and ultrasensitive detection of microplastics. Our innovative technique incorporates zirconium (IV)-assisted SERS label strategies, utilizing rhodamine B as a Raman reporter to improve microplastics analysis. By utilizing zirconium-assisted SERS label approaches, we can achieve both qualitative and ultrasensitive quantification of 10 μm polystyrene microplastics (PSMPs) at concentrations as low as 0.1 ppm, with a detection limit of 1 ppb. Furthermore, this approach allows for the detection of microplastics in real-world scenarios, with recovery rates exceeding 90% for polystyrene microplastics concentrations ranging from 5 ppm to 30 ppm in tap water systems. When integrated with a portable Raman spectrometer, this innovative approach showcases the rapid, on-site, accurate, and sensitive detection of microplastics and has great potential for the analysis of various types of microplastics in agri-food and environmental systems.
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Rapid On-Site and Sensitive Detection of Microplastics Using Zirconium(IV)-Assisted SERS Label
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Researchers developed a rapid, portable detection method using specialized spectroscopy that can identify polystyrene microplastics at concentrations as low as 1 part per billion in water. The technique maintained over 90% accuracy when tested in real tap water samples. Affordable, field-ready detection tools like this are essential for monitoring microplastic contamination in food and water systems to protect human health.
Advanced microplastic monitoring using Raman spectroscopy with a combination of nanostructure-based substrates
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Researchers reviewed advances in Raman spectroscopy and surface-enhanced Raman scattering (SERS) — a technique that amplifies light signals using metallic nanostructures — for detecting micro- and nanoplastics at trace concentrations in environmental samples, highlighting new plasmonic materials, 3D substrates, and microfluidic chip platforms that enable on-site monitoring.
On-Site Detection of Nanoplastics in Liquid Phase by SERS Method
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Researchers developed an on-site detection method for nanoplastics in liquid samples using surface-enhanced Raman spectroscopy (SERS), achieving sensitive identification without the laboratory infrastructure required by conventional GC-MS approaches. The SERS method successfully differentiated nanoplastic types in environmental water samples, offering a practical tool for rapid field-deployable nanoplastic monitoring.
Surface-enhanced Raman spectroscopy for size-resolved microplastic detection in real-world samples using thiophenol labeling
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Researchers developed a surface-enhanced Raman spectroscopy method using thiophenol labeling for size-resolved microplastic detection in real-world samples. The technique aims to improve detection of plastic contamination across different size ranges, addressing a key challenge in environmental monitoring of microplastic pollution.
Microplastic identification using Raman microsocpy
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Researchers developed and implemented a Raman spectroscopy system for rapid detection and identification of microplastic particles on substrates. The system enables efficient chemical characterization of microplastics found across diverse environmental matrices including ocean, lakes, soil, beach sediment, and human blood.
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