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Papers
61,005 resultsShowing papers similar to A novel method for purification, quantitative analysis and characterization of microplastic fibers using Micro-FTIR
ClearAnalysis of Microplastics in Synthetic Fibers Through FT-IR Microscope
This study used FTIR microscopy to identify and characterize microplastics derived from synthetic textile fibers in environmental samples. Synthetic fiber microplastics are among the most common types found in the ocean, and FTIR analysis is essential for confirming their identity and polymer composition.
Microplastics in different water samples (seawater, freshwater, and wastewater): Methodology approach for characterization using micro-FTIR spectroscopy
Researchers developed a standardized methodology for detecting and characterizing small microplastics (10-500 micrometers) in different water types using micro-FTIR spectroscopy. The study tested various sample preparation approaches for seawater, freshwater, and wastewater, establishing reliable protocols for rinsing, digestion, and microplastic collection that can be used to assess treatment plant removal efficiency.
Contributions of Fourier transform infrared spectroscopy in microplastic pollution research: A review
This review covers advances in Fourier transform infrared (FTIR) spectroscopy techniques — including chemical imaging — for identifying polymer types in microplastic samples and tracing their fate in different environmental matrices.
Automated identification and quantification of microfibres and microplastics
Researchers developed an automated method using FTIR imaging data analysis to simultaneously identify and quantify both microplastics and microfibers in environmental samples. Automation improves throughput and consistency compared to manual identification, addressing a key bottleneck in large-scale microplastic monitoring.
Analytical tools in advancing microplastics research for identification and quantification across environmental media: from sample to insight
Researchers reviewed the analytical tools most commonly used for identifying and quantifying microplastics, focusing on FTIR and Raman spectroscopy as the two primary methods. The review compared their strengths and limitations and provided guidance for choosing between them based on particle size, sample matrix, and research objectives.
Chemical characterization of microplastics from biosolids: a comparison of FTIR and O-PTIR microspectroscopy
Researchers compared conventional FTIR microspectroscopy with the emerging Optical Photothermal Infrared (O-PTIR) technique for chemical characterization and polymer-type identification of microplastics extracted from biosolids, finding that O-PTIR's submicron resolution and artifact-free spectra offer advantages over traditional methods.
Microplastiche: classificazione, identificazione e rimozione all'interno degli impianti di trattamento delle acque reflue
This Italian-language paper reviews how microplastics are classified, identified using techniques like FTIR spectroscopy, and removed in wastewater treatment plants. Conventional treatment plants remove a substantial portion of microplastics but still allow many particles to pass through into the environment. The review calls for better treatment technologies and standardized methods to assess microplastic removal efficiency.
Validation of an FT-IR microscopy method for the determination of microplastic particles in surface waters
Researchers validated an FT-IR microscopy method for reliably detecting and quantifying microplastic particles in aquatic and solid samples. Validated, standardized analytical methods are essential for producing comparable data across laboratories and building a reliable global picture of microplastic contamination.
Analysis of environmental microplastics by vibrational microspectroscopy: FTIR, Raman or both?
This study reviewed analytical methods for environmental microplastic analysis using vibrational microspectroscopy — comparing FTIR, Raman, and related techniques — and provided guidance on method selection for different sample types and research questions.
Development of a novel semi-automated analytical system of microplastics using reflectance-FTIR spectrometry: designed for the analysis of large microplastics
A semi-automated reflectance-FTIR spectrometry system was developed for microplastic analysis, designed specifically for large microplastics and capable of dramatically accelerating the otherwise labor-intensive identification process while maintaining accuracy in polymer type determination.
Direct µ-FTIR analysis of microplastics deposited on silicon in indoor air environments
Direct micro-FTIR analysis of microplastics deposited on silicon wafers was optimized for improved detection sensitivity and throughput. The refined protocol reduces sample preparation steps and improves the accuracy of polymer identification, advancing the standardization of microplastic analysis methods.
Robust Automatic Identification of Microplastics in Environmental Samples Using FTIR Microscopy
Researchers developed a robust automated method for identifying microplastics in environmental samples using FTIR microscopy combined with machine learning-based spectral matching, improving the consistency and efficiency of microplastic identification compared to manual evaluation.
Refined Analysis of Microplastics: Integrating Infrared and Raman Spectroscopy
This study optimized the use of Fourier Transform Infrared Spectroscopy (FTIR) and Raman spectroscopy for characterizing microplastics in aquatic environments, finding that integrating both techniques improves identification accuracy and physicochemical characterization.
Development of a rapid detection protocol for microplastics using reflectance-FTIR spectroscopic imaging and multivariate classification
Reflectance-FTIR spectroscopy was evaluated as a faster and more automated detection method for microplastics in environmental samples, with results showing strong potential for high-throughput screening. The method could reduce the time and cost of routine microplastic monitoring programs.
Optimizing microplastic analysis through comparative FTIR and raman spectroscopy: Addressing challenges in environmental degradation studies
This study optimized microplastic analysis by comparing FTIR and Raman spectroscopy approaches for identifying degraded polymer particles in environmental samples where photooxidation and mechanical fragmentation have altered spectral signatures. A combined spectroscopy approach outperformed either technique alone for accurately identifying degraded microplastics in complex environmental matrices.
Microplastics monitoring in different environments: separation, physicochemical characterization, and quantification
Researchers systematically monitored microplastic contamination across multiple environments including a wastewater treatment plant, surrounding water bodies, and soils near plastic factories, characterizing shape, size, color, and polymer composition via microscopy and FTIR spectroscopy. They found fragments and fibers to be the most common microplastic shapes in water environments and documented simultaneous contamination across all sampled matrices.
Spectroscopic Analysis of Microplastic Fibers Released During Laundry Washing Cycle
Researchers analyzed microplastic fibers released from synthetic textiles during laundry washing cycles using FTIR spectroscopy, demonstrating that spectroscopic identification of fiber polymer type is feasible and identifying key fiber release characteristics from different fabric types.
Forensic Assessment of Textile Fibers Using Micro FTIR-ATR Spectroscopy
This study evaluated micro Fourier transform infrared spectroscopy for identifying textile fibers in forensic investigations, finding it can characterize fiber composition even from very small samples. The same technique is widely used for identifying microplastic polymer types in environmental samples.
Standardization of micro-FTIR methods and applicability for the detection and identification of microplastics in environmental matrices
Researchers worked to standardize micro-FTIR spectroscopy methods for detecting and identifying microplastics as small as 20 micrometers across different environmental samples. They tested reflection and transmission modes against known polymer standards and validated the approach on real-world water, sediment, and biological samples. The study provides a reproducible methodology that could help make microplastic measurements more consistent and comparable across laboratories.
Classification Of Environmental Micro-Fibres Using Stimulated Raman Microspectroscopy
This study applied stimulated Raman microspectroscopy to classify and identify environmental microfibres, which are the most abundant type of microplastic in the environment but are particularly difficult to analyze due to their small size. The technique enabled chemical characterization of individual fibres under 15 micrometres in diameter, distinguishing plastic from natural fibres. Improving identification methods for microfibres is critical because their small size and prevalence make them a priority concern for both environmental monitoring and human health risk assessment.
Promising techniques and open challenges for microplastic identification and quantification in environmental matrices
This review assessed current and emerging techniques for microplastic identification and quantification in environmental matrices, highlighting advantages and limitations of methods including FTIR, Raman spectroscopy, and pyrolysis-GC/MS.
Detecting small microplastics down to 1.3 μm using large area ATR-FTIR
Researchers introduced large-area ATR-FTIR spectroscopy as a new technique capable of detecting microplastics as small as 1.3 micrometers, outperforming conventional micro-FTIR for small particle detection in marine water samples.
Subsampling microplastics for chemical characterization and confirmation: assessing efficiency and discussing reliability risks
Researchers evaluated the efficiency and reliability risks of subsampling strategies for microplastic chemical characterization using FTIR spectroscopy, finding that while subsampling reduces labor-intensive manual transfer steps, it carries inherent risks of sampling bias and reduced representativeness.
Analytical tools in advancing microplastics research for identification and quantification across environmental media: from sample to insight
This review surveys analytical techniques used in microplastic research, covering sampling, extraction, and identification methods including FTIR, Raman spectroscopy, and pyrolysis-GC/MS, highlighting trade-offs between throughput, sensitivity, and particle size detection limits.