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Papers
61,005 resultsShowing papers similar to Assessment of filter subsampling and extrapolation for quantifying microplastics in environmental samples using Raman spectroscopy
ClearAssessment of Subsampling Strategies in Microspectroscopy of Environmental Microplastic Samples
This study evaluated subsampling strategies for microspectroscopic analysis of environmental microplastic samples, finding that the choice of subsampling method significantly affects the accuracy of polymer identification and particle count estimates.
Development of an optimal filter substrate for the identification of small microplastic particles in food by micro-Raman spectroscopy
Researchers developed an optimal filter substrate for micro-Raman spectroscopy identification of microplastics in food samples, enabling reliable detection of particles down to 1 µm by improving the spectral quality obtained when analysing particles directly on the filter surface.
Prevalence of small-sized microplastics in coastal sediments detected by multipoint confocal micro-Raman spectrum scanning
Researchers developed a new micro-Raman spectrum scanning method to detect small-sized microplastics in coastal sediments, revealing that particles under 50 micrometers are the most prevalent and commonly overlooked by standard techniques.
Systematic quantitation for microplastics and nanoplastics based on size-fractionated filtration hyphenated to Raman/SERS and slope-matching strategy
Researchers developed a systematic method for accurately measuring micro- and nanoplastics using size-fractionated filtration combined with Raman and surface-enhanced Raman spectroscopy. The approach addresses the challenge of quantifying plastic particles with heterogeneous size distributions, offering a more reliable strategy for environmental monitoring.
Improving Microspectroscopic Microplastic Data Extrapolation: From Field of View to Full Sample, and from Fragment 2D-Morphology to Mass
Researchers investigated methods to improve the reliability of microplastic data extrapolation from microspectroscopic subsampling, finding that current strategies result in 50% or greater error due to heterogeneous particle dispersion on filter substrates and proposing improved field-of-view protocols.
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.
A “six-point S-shaped” sampling strategy based on micro-Raman spectroscopy enabling the rapid and accurate detection of small-sized microplastics in soil
A new six-point S-shaped sampling strategy combined with micro-Raman spectroscopy was developed to more accurately detect and quantify microplastics in environmental samples. The approach improves spatial coverage and reduces sampling bias, making microplastic monitoring more reliable and reproducible.
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.
Improved Reliability of Raman Spectroscopic Imaging of Low-Micrometer Microplastic Mixtures in Lake Water by Fractionated Membrane Filtration
Researchers developed an analytical method coupling fractionated membrane filtration with Raman microspectroscopy to reliably quantify low-micrometer microplastics (1-10 micrometers) in lake water, achieving over 90% recovery of polystyrene and PMMA particles and improving image quality by separating particles into distinct size fractions.
Subsampling microplastics for chemical characterization and confirmation: assessing efficiency and discussing reliability risks
Researchers systematically reviewed subsampling strategies used in microplastic marine contamination studies and assessed how common approaches affect the efficiency and reliability of FTIR-based chemical characterisation. The study identified widespread use of subsampling and evaluated associated risks of sampling bias and inaccurate abundance estimates.
Application of Raman microspectroscopy for the characterization of microplastics in clam Chamelea gallina
Researchers developed an extraction and filtration protocol using Raman microspectroscopy to characterize microplastics down to 1 μm in the clam Chamelea gallina, optimizing filter selection based on recovery rate, filtration time, readability, and cost.
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 simple method for mapping microplastics filter collectors for microscopic analyses
Researchers developed a simple mapping method for microplastic filter collectors that improves the efficiency and accuracy of microscopic analysis. The technique uses a systematic grid approach to scan filter membranes, reducing the time and effort needed to locate and identify microplastic particles. The method offers a practical improvement for laboratories conducting routine microplastic quantification from environmental samples.
Raman Spectral Imaging for the Detection of Inhalable Microplastics in Ambient Particulate Matter Samples
Researchers developed a filter-based sampling method compatible with Raman spectral imaging to detect inhalable-sized microplastics in ambient air samples. They successfully identified and mapped plastic particles as small as a few micrometers on sampling filters. The study provides a practical new analytical approach for measuring airborne microplastic exposure, an area where reliable detection methods have been lacking.
Fast compressive Raman micro-spectroscopy to image and classify microplastics from natural marine environment
Researchers developed a fast compressive Raman micro-spectroscopy system for imaging and classifying microplastics on filters, achieving significant speed improvements over conventional point-scanning Raman methods. The system correctly identified polymer types in heterogeneous real-world samples, offering a practical tool for routine microplastic monitoring in water and sediment samples.
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.
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.
From qualitative to quantitative measurement of small microplastics using multi-detector field flow fractionation coupled offline to microscopy and raman spectroscopy
This study developed an analytical method combining multi-detector field flow fractionation with offline microscopy and Raman spectroscopy to move from simply identifying microplastics to accurately measuring their quantity in small size ranges. Improved quantification methods are critical because current inconsistencies in measurement approaches make it difficult to set health-based exposure limits or compare contamination levels across studies.
From qualitative to quantitative measurement of small microplastics using multi-detector field flow fractionation coupled offline to microscopy and raman spectroscopy
This study developed an analytical method combining multi-detector field flow fractionation with offline microscopy and Raman spectroscopy to move from simply identifying microplastics to accurately measuring their quantity in small size ranges. Improved quantification methods are critical because current inconsistencies in measurement approaches make it difficult to set health-based exposure limits or compare contamination levels across studies.
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.
Selection of microplastics by Nile Red staining increases environmental sample throughput by micro-Raman spectroscopy
This study showed that pre-selecting particles with Nile Red staining prior to Raman spectroscopy analysis significantly increases sample throughput, enabling faster processing of environmental microplastic samples without sacrificing identification accuracy.
A comparison of microscopic and spectroscopic identification methods for analysis of microplastics in environmental samples
Researchers compared microscopic and spectroscopic methods for analyzing microplastics in environmental samples, evaluating accuracy and efficiency and finding that spectroscopic confirmation substantially reduces misidentification errors.
Microplastic analysis in drinking water based on fractionated filtration sampling and Raman microspectroscopy
A validated analytical workflow for detecting microplastics down to 5 µm in drinking water was developed using a portable filter cascade unit followed by two-step semi-automated Raman microspectroscopy, and was applied successfully to processed drinking water, tap water, and groundwater.
A critical analysis on the limits and possibilities of the μ-Raman as a routine method for microplastics determination in drinking water
This critical analysis examined the limits and practical possibilities of micro-Raman spectroscopy as a routine tool for microplastic identification, assessing throughput, detection limits, and the conditions under which it provides reliable polymer characterization.