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Papers
61,005 resultsShowing papers similar to The Raman Spectroscopy Approach to Different Freshwater Microplastics and Quantitative Characterization of Polyethylene Aged in the Environment
ClearQuantitative analysis of microplastics in water by Raman spectroscopy: influence of microplastic concentration on Raman scattering intensities
Researchers investigated quantitative Raman spectroscopy for detecting microplastics directly in water, finding that Raman scattering intensities varied with concentration for both PVC spheres (40-100 um) and PE spheres (40-48 um) dispersed in de-ionized water at 0.1-1.0 wt%.
Raman spectroscopy for microplastic detection in water sources: a systematic review
This systematic review summarizes how Raman spectroscopy, a type of light-based analysis, is used to identify microplastics in drinking water, oceans, and wastewater. Polystyrene, polyethylene, and polypropylene were among the most commonly detected plastics across all water sources. Better detection methods like this are essential for understanding the extent of microplastic contamination in the water we drink.
Detection of submicron- and nanoplastics spiked in environmental fresh- and saltwater with Raman spectroscopy
Raman spectroscopy was evaluated for detecting submicron- and nanoplastic particles spiked into both fresh and saltwater samples, assessing the method's sensitivity and reliability across a range of polymer types in complex environmental matrices.
Characterization of microplastics in water bottled in different packaging by Raman spectroscopy
Researchers detected and characterized microplastics in bottled water from different packaging types using Raman spectroscopy, confirming that plastic contamination occurs across various commercial water bottle materials.
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.
The effect of weathering environments on microplastic chemical identification with Raman and IR spectroscopy: Part I. polyethylene and polypropylene
Researchers compared Raman and IR spectroscopy for identifying weathered polyethylene and polypropylene microplastics, finding that weathering significantly alters surface chemistry and that Raman spectroscopy is more robust for identifying heavily weathered samples than IR spectroscopy.
Molecular identification of polymers and anthropogenic particles extracted from oceanic water and fish stomach – A Raman micro-spectroscopy study
Researchers applied Raman micro-spectroscopy to identify plastic polymers in Pacific Ocean trawl samples and fish stomach contents, finding polyethylene and polypropylene as the dominant types while demonstrating that many particles visually suspected as plastic were actually non-polymer biological material — underscoring the necessity of chemical verification.
Detection and characterisation of microplastics in lake sediments: A study in the Zagreb region
Researchers analyzed the presence, types, and quantities of microplastics in sediments from four lakes in the Zagreb region of Croatia using density separation and micro-Raman spectroscopy, finding that polystyrene, polyethylene, and polyethylene terephthalate were the predominant polymer types.
Analysis of microplastics in water by micro-Raman spectroscopy: Release of plastic particles from different packaging into mineral water
This study analyzed microplastics in water samples using micro-Raman spectroscopy and also investigated the release of plastic additives, finding that both microplastics and their leached chemicals are present in aquatic environments.
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.
Laboratory assessment for determining microplastics in freshwater systems – characterization and identification along Somesul Mic River
Researchers applied Raman and FTIR spectroscopy alongside microscopy to characterize microplastics in water and sediment samples from the Somesul Mic River in Romania, identifying multiple polymer types and assessing which analytical methods worked best. Developing reliable, standardized laboratory methods for detecting microplastics in freshwater is essential for generating comparable data on environmental contamination levels.
Applications of Raman spectroscopy for microplastic detection and characterization: a comprehensive spectral reference
This review evaluates Raman spectroscopy as a tool for detecting and identifying microplastics across water, soil, air, and biological samples. The study consolidates reference spectra for common plastic polymers and discusses recent innovations like surface-enhanced Raman techniques that improve detection sensitivity, while also addressing challenges like fluorescence interference in complex samples.
Quantitative Raman analysis of microplastics in water using peak area ratios for concentration determination
Researchers developed a new method using Raman spectroscopy to measure microplastic concentrations in water. By analyzing the ratio of plastic-specific signals to the water signal, they created a reliable calibration model for detecting polyethylene and PVC microplastics, even when multiple plastic types are mixed together. This approach could make it faster and easier to monitor microplastic contamination in real-world water sources.
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.
Microplastics Identification in Remote Aquatic Environments Using Raman Spectroscopy: A Case Study for Mt. Tymfi's Alpine Lake
Researchers analyzed water from a remote alpine lake on Mt. Tymfi in Greece, a pristine environment with minimal human activity, and still found microplastics at a concentration of about 0.021 particles per liter. The most common types were polyethylene fragments and PET and nylon fibers, identified using Raman spectroscopy. The presence of microplastics even in such an isolated location underscores how far-reaching plastic pollution has become, likely transported by wind and atmospheric deposition.
Raman Imaging Spectroscopy: History, Fundamentals and Current Scenario of the Technique
This review covers the history and principles of Raman imaging spectroscopy, a technique increasingly used to identify and map the chemical composition of microplastics in environmental samples. The review provides technical context for one of the most important tools in microplastic analysis.
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.
A beaker method for determination of microplastic concentration by micro-Raman spectroscopy
This study developed a faster way to measure microplastic concentrations in water by analysing Raman spectral signals directly in solution, skipping the laborious pre-treatment steps required by traditional methods. The concentration of polyethylene particles was found to correlate predictably with Raman signal intensity using a Langmuir model, enabling a simpler field-ready monitoring approach. Rapid detection tools like this are important for tracking microplastic contamination in drinking water and marine environments.
The comparative study by Raman spectroscopy of the plastic tide in the three ports of the Mediterranean Sea
Researchers used Raman spectroscopy to characterise marine microplastic pollution in field studies conducted at four locations within three Mediterranean Sea ports along the French coast during the autumn season. The study identified the polymer composition, size distribution, and colour characteristics of beached and waterborne plastic particles, providing baseline data on the 'plastic tide' in these Mediterranean harbours.
Investigating the Correlation of Microplastic Pollution Between Seawater and Marine Salt Using Micro-Raman Spectroscopy
Micro-Raman spectroscopy was used to investigate the correlation between microplastic contamination in seawater and marine salt from the same source waters, finding that the polymer profiles of microplastics in salt broadly reflect those in the seawater from which the salt was produced.
Occurrence of microplastics in bottled water from Croatia: a Raman spectroscopy approach
Researchers analyzed six brands of bottled water sold in Croatia and found microplastics in all of them, with particles as small as 1 micrometer detected using Raman spectroscopy. The most commonly found plastics were PET and polyethylene, and interestingly, bottles made from virgin PET contained more microplastics than those made from recycled PET. The study adds to growing evidence that bottled water is a significant source of human microplastic exposure.
Microplastics in Arctic invertebrates: status on occurrence and recommendations for future monitoring
Researchers used fluorescence microscopy and Raman spectroscopy to characterize microplastics in bottled water from 11 brands sold in China. Concentrations ranged widely across brands, with polypropylene, polyethylene terephthalate, and polystyrene as the most detected polymers.
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.
Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data
Machine learning models were applied to Raman spectroscopy data to improve polymer type identification in environmentally weathered microplastics, which are harder to classify than pristine samples. The approach achieved better accuracy by accounting for spectral changes caused by UV exposure and physical degradation.