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From Microplastics to Nanoplastics: Critical Advances and Persistent Challenges in Detection and Quantification
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Researchers critically review the full range of analytical techniques for detecting and quantifying microplastics — from spectroscopy and mass spectrometry to AI-assisted hyperspectral imaging — identifying nanoplastic detection, real-time monitoring, and the absence of standardized protocols as the field's most persistent challenges.
Microplastics (MPs), defined as plastic particles smaller than 5 mm, are increasingly recognized as widespread environmental contaminants occurring in aquatic, terrestrial, and atmospheric ecosystems. Their small size, diverse morphology, and complex polymer composition make accurate detection, identification, and quantification analytically challenging. This review summarizes recent advances in analytical techniques for detecting MPs in environmental samples, including microscopic, spectroscopic, mass spectrometric, thermal analytical, hyperspectral imaging, and artificial intelligence (AI)-assisted approaches. The fundamental principles, strengths, and limitations of each technique are critically evaluated in the context of environmental monitoring and analytical performance. Despite considerable progress, significant challenges remain, particularly in the reliable detection of nanoplastics (NPs), real-time in situ monitoring, and the establishment of standardized analytical protocols. Emerging strategies that integrate AI-driven spectral analysis, hyperspectral imaging, and thermogravimetric analysis show promise for improving the accuracy and throughput of MP detection. Overall, this review highlights the importance of integrating conventional analytical methods with advanced computational tools and developing high-throughput, environmentally sustainable detection strategies to improve our understanding of the environmental fate of MPs and NPs as well as support future risk assessment and policy development.
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From Microplastics to Nanoplastics: Critical Advances and Persistent Challenges in Detection and Quantification
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Researchers reviewed the landscape of analytical methods for detecting microplastics and nanoplastics — including spectroscopy, mass spectrometry, thermal analysis, hyperspectral imaging, and AI-assisted tools — finding that AI-driven spectral analysis and thermogravimetric approaches show the most promise for improving throughput and extending detection to nanoscale particles.
From Microplastics to Nanoplastics: Critical Advances and Persistent Challenges in Detection and Quantification
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This review surveys the state of micro- and nanoplastic detection methods, concluding that integrating AI-driven spectral analysis, hyperspectral imaging, and thermogravimetric approaches with conventional techniques is essential to close the accuracy and throughput gaps needed for reliable environmental monitoring and risk assessment.
Advancements and challenges in microplastic detection and risk assessment: Integrating AI and standardized methods
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This review examines current methods for detecting and measuring microplastics in water, soil, and biological samples, including microscopy and spectroscopy techniques. The authors highlight how artificial intelligence could make detection faster and more accurate. Standardized testing methods and better health risk assessments are needed to understand and manage the dangers microplastics pose to human health.
Challenges and Advances in Analytical Techniques to Detect Micro- and Nanoplastics
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This research review summarizes the current methods scientists use to detect and study microplastics and nanoplastics - tiny plastic particles that can get into our environment, food, and bodies. The authors explain that identifying these extremely small plastic pieces is very challenging and requires advanced laboratory techniques to understand what types of plastics they are and how much is present. Better detection methods are important because we need to understand how much plastic pollution we're exposed to and its potential effects on human health.
Emerging analytical frontiers in microplastic detection: From spectroscopy to smart sensor technologies
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Researchers reviewed the latest tools for detecting microplastics and nanoplastics, covering methods from laser-based spectroscopy and heat-based chemical identification to electrochemical sensors and AI-powered analysis. The review highlights that while no single method can do everything, combining these approaches — especially with machine learning — is moving the field toward faster, cheaper, and more accurate detection in water, food, and human tissue.
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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.