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Optical innovations in microplastic analysis: a critical review of detection strategies
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Researchers reviewed the current landscape of optical detection methods for microplastics—spanning Raman and FTIR spectroscopy, SERS, FLIM, hyperspectral imaging, and AI-enhanced analysis—highlighting that while handheld and smartphone-based platforms show strong promise for field deployment, the absence of standardized protocols and interference from organic matter remain key barriers to reliable environmental monitoring.
Microplastic pollution is a growing environmental and health concern, posing serious risks to aquatic ecosystems and human well-being. This review explores recent advancements in optical methods for Microplastic (MP) detection, focusing on Spectroscopic techniques, Imaging techniques, optical sensor technologies, and speckle pattern analysis for their speed, sensitivity, and non-destructive analysis. Emerging techniques such as SERS and FLIM, along with AI-driven computational models, are enhancing automation and accuracy. However, challenges remain, including organic matter interference, diverse particle properties, and the lack of standardised protocols. Ongoing efforts in standardisation and ML integrations are improving detection in complex samples. The review highlights the need for portable, cost-effective technologies and interdisciplinary collaboration to refine detection sensitivity and enable real-time environmental monitoring. Recent innovations, including handheld Raman devices, smartphone-based spectrometers, and deep-learning-enhanced HSI, are paving the way for more accurate MP detection, ultimately supporting pollution mitigation and ecosystem protection.
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Exploring Innovations in Microplastics Detection: A Comprehensive Methodological Review
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This review compares cutting-edge microplastic detection methods including hyperspectral imaging, nano-thermal analysis, and atomic force microscopy, evaluating their accuracy, efficiency, and applicability across different environments. Better detection tools are foundational to understanding the true scale of microplastic pollution and enabling the evidence-based regulations needed to protect public health.
Identification and analysis of microplastics: a systematic review of methods and techniques
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This systematic review of 180 microplastics studies found that µFTIR, µRaman, and pyrolysis-GC/MS are the dominant identification methods, with zinc chloride and hydrogen peroxide the most common chemicals for density separation and organic matter digestion respectively. Methodological variation across studies limits result comparability, and the review recommends standardizing reporting by identification method and carefully matching density separation solutions to target polymer densities.
CAN WE SEE SMALLER? QUANTIFYING less than 100 MICRON MICROPLASTICS WITH PHOTOMICROGRAPHS
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Researchers developed a double-dye optical microscopy technique combining Nile Red and a non-polar UV dye to detect and quantify microplastic particles smaller than 100 microns, a size class often missed in standard analyses. The second dye improved detection of previously elusive materials like PVC and rubber tire particles, though practical limitations remain for routine application.
Microplastics Detection Techniques
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Researchers reviewed the principal methods used to detect and characterize microplastics across diverse environmental matrices, evaluating the strengths and limitations of spectroscopic, microscopic, and thermal analysis techniques for identifying particle size, shape, and polymer type.
An insight into different microplastic detection methods
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Researchers critically reviewing microplastic detection methods evaluated analytical techniques including spectroscopy and mass spectrometry alongside emerging sensor-based approaches, identifying the flaws of current methods and proposing novel combinatory strategies to reduce false-positive and false-negative results.
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