Papers

20 results
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Article Tier 2

Microplastic identification using Raman microsocpy

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.

2022 Zenodo (CERN European Organization for Nuclear Research)
Article Tier 2

Microfluidic Detection and Analysis of Microplastics Using Surface Nanodroplets

Researchers developed a microfluidic device that uses tiny surface droplets to capture and analyze microplastics as small as 10 micrometers from water samples. The captured particles can be examined under a microscope and identified by type using Raman spectroscopy without removing them from the device. The method offers a simpler, faster, and more affordable way to detect small microplastics compared to conventional filtration techniques.

2024 ACS Sensors 26 citations
Article Tier 2

Tracking nanoplastics in drinking water: a new frontier with the combination of dielectrophoresis and Raman spectroscopy

Researchers developed a new combined technique using dielectrophoresis and Raman spectroscopy to detect and identify nanoplastics in drinking water. The method can trap and concentrate nanoplastic particles that are too small for conventional detection approaches, then chemically identify them. This advancement addresses a critical gap in our ability to monitor nanoscale plastic contamination in water supplies.

2025 Microplastics and Nanoplastics 4 citations
Article Tier 2

Visualization and characterisation of microplastics in aquatic environment using a home-built micro-Raman spectroscopic set up

Researchers built an affordable micro-Raman spectroscopy system capable of identifying microplastics in water samples, offering a low-cost alternative to expensive commercial equipment. The system could visualize, measure, and chemically identify different types of microplastic particles. This kind of accessible detection technology is important, especially for developing countries, because widespread monitoring of microplastic pollution in water sources is essential for protecting public health.

2024 Journal of Environmental Management 19 citations
Article Tier 2

Study on Rapid Recognition of Marine Microplastics Based on Raman Spectroscopy

Researchers developed a rapid identification system for marine microplastics using Raman spectroscopy, enabling quick determination of plastic type and size. Fast, accurate identification tools are critical for monitoring the growing problem of microplastic pollution in ocean environments.

2021 Knowledge Repository of Yantai Institute of Coastal Zone Research, CAS (Yantai Institute of Coastal Zone Research) 9 citations
Article Tier 2

Identification of microplastics using Raman spectroscopy: Latest developments and future prospects

This review summarizes the latest advances in using Raman spectroscopy to identify microplastics in environmental samples, highlighting improvements in speed, sensitivity, and the ability to characterize plastic type and surface chemistry.

2018 Water Research 936 citations
Article Tier 2

Rapid MicroplasticDetection Using High-ThroughputScreening Raman Spectroscopy

Researchers developed a high-throughput screening Raman spectroscopy system for rapid microplastic detection, overcoming the traditional tradeoff between spatial resolution, field of view, and analytical throughput to enable faster identification of plastic particles across environmental samples with low concentrations.

2025 Figshare
Article Tier 2

Identification of Microplastics Using a Custom Built Micro-Raman Spectrometer

Researchers built a custom micro-Raman spectrometer and demonstrated its use for identifying microplastic polymer types in environmental samples, achieving sensitive and specific polymer identification at particle sizes down to a few micrometers.

2023 Journal of Physics Conference Series 18 citations
Article Tier 2

A microfluidic approach for label-free identification of small-sized microplastics in seawater

Researchers developed a microfluidic approach for label-free identification of small microplastics in seawater, using impedance-based detection to distinguish different polymer types without chemical labeling, enabling faster and more practical environmental monitoring.

2023 Scientific Reports 31 citations
Article Tier 2

Microfluidic Size Exclusion Chromatography for Sustainable Nanoplastic Detection

Researchers developed a miniaturized filtration system using a mix of chitosan and agarose beads to capture and identify nanoplastics — plastic particles smaller than one micrometer — from water samples. The system works with multiple analysis tools including Raman spectroscopy and electron microscopy, offering a cost-effective and sustainable approach to detecting nanoplastics in the environment.

2024
Article Tier 2

Raman Tweezers for Small Microplastics and Nanoplastics Identification in Seawater

Researchers used Raman tweezers - optical tweezers combined with Raman spectroscopy - to capture and chemically identify individual small microplastic and nanoplastic particles in seawater samples in situ. This novel technique could enable real-time identification of the smallest plastic particles in marine environments, filling a critical gap in nano- and micro-plastic detection.

2019 Environmental Science & Technology 329 citations
Article Tier 2

Micro- and nanoplastics in the environment: a comprehensive review on detection techniques

This review provides a comprehensive overview of detection techniques for micro- and nanoplastics in the environment. The methods covered include FT-IR spectroscopy, Raman spectroscopy, fluorescence and laser-induced breakdown spectroscopies, electroanalytical techniques, microfluidic systems, and advanced mass spectrometry approaches.

2025 Environmental Science Nano 8 citations
Article Tier 2

Raman Spectroscopy and Machine Learning for Microplastics Identification and Classification in Water Environments

Researchers combined Raman spectroscopy with machine learning algorithms for automated identification and classification of microplastics in water environments, achieving high accuracy in distinguishing different polymer types based on spectral fingerprints.

2022 IEEE Journal of Selected Topics in Quantum Electronics 35 citations
Article Tier 2

In situ surface-enhanced Raman spectroscopy for detecting microplastics and nanoplastics in aquatic environments

This study evaluated surface-enhanced Raman spectroscopy (SERS) as a method for detecting and identifying microplastics and nanoplastics in aquatic environments, demonstrating its potential for detecting particles too small for conventional spectroscopy while noting remaining challenges for field deployment.

2020 The Science of The Total Environment 333 citations
Article Tier 2

Feasibility study for simple on-line Raman spectroscopic detection of microplastic particles in water using perfluorocarbon as a particle-capturing medium

Researchers developed a simplified Raman spectroscopy setup using an oil-based medium to capture and identify microplastic particles directly from water. The approach offers a cost-effective, on-line method for detecting microplastic contamination without the need for complex filtration equipment.

2021 Analytica Chimica Acta 21 citations
Article Tier 2

Trapping and chemical characterization of sub-microplastics using Raman optical tweezers with machine learning

Researchers combined optical tweezers Raman spectroscopy with machine learning-driven PCA to identify and classify individual sub-micron plastic particles (PE, PP, PS) from environmental matrices. By analyzing 35 Raman spectra, the platform demonstrated accurate single-particle identification without complex sample preparation.

2025
Article Tier 2

Flow Raman Spectroscopy for the Detection and Identification of Small Microplastics

Researchers developed a new method using flow Raman spectroscopy to detect and identify individual microplastic particles as small as 4 micrometers while they move through water. Unlike current methods that require complex sample preparation, this technique could work in real time for monitoring food and drinking water quality. The method can distinguish between different plastic types even after they have been weathered by the environment.

2025 Sensors 6 citations
Article Tier 2

Microfluidic Devices for Microplastics Separation and Identification

This thesis explored the application of low-cost microfluidic devices for separating and identifying microplastics in water and biological samples, developing novel analytical platforms with potential for scalable environmental monitoring and detection of plastic particles.

2023
Article Tier 2

How to Identify and Quantify Microplastics and Nanoplastics Using Raman Imaging?

This paper reviews advances in Raman imaging as a method for identifying and quantifying microplastics and nanoplastics in environmental samples, discussing current protocols, analytical challenges, and the need for standardization.

2024 Analytical Chemistry 9 citations
Article Tier 2

Raman spectroscopy: Recent advances in fast and reliable microplastic analysis

This review summarized recent advances in Raman spectroscopy for fast and reliable microplastic identification, covering improvements in speed, sensitivity, and automation that are making the technique more practical for routine environmental monitoring. Raman-based methods are increasingly able to identify microplastics in complex environmental matrices including biological tissues.

2024 Zenodo (CERN European Organization for Nuclear Research)