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61,005 resultsShowing papers similar to A Universal Approach to Mie Scatter Correction inFTIR Analysis of Microsized Samples
ClearA Universal Approach to Mie Scatter Correction inFTIR Analysis of Microsized Samples
This study presented a general mathematical solution to the inverse Mie scattering problem for FTIR infrared spectroscopy of small particles such as microplastics. The correction algorithm enables more accurate polymer identification and chemical characterization of microsized samples by removing scattering-induced spectral artifacts.
A Universal Approach to Mie Scatter Correction in FTIR Analysis of Microsized Samples
Researchers developed a deep-learning-based method to correct Mie scattering distortions in infrared microspectroscopy, enabling accurate chemical identification of microscopic samples including microplastic beads. The universal approach works across different sample types and spectroscopic setups without requiring prior knowledge of sample absorption properties, offering a significant improvement for microplastic analysis and other applications.
Analytical and experimental solutions for Fourier transform infrared microspectroscopy measurements of microparticles: A case study on Quercus pollen.
Researchers developed analytical and experimental solutions to correct for Mie-type scattering distortions in FTIR microspectroscopy spectra of microparticles, using Quercus pollen as a model system to validate the approach for improving chemical identification in microplastics analysis.
A novel method for purification, quantitative analysis and characterization of microplastic fibers using Micro-FTIR
Researchers developed an improved method for purifying, quantifying, and characterizing microplastic fibers using micro-FTIR spectroscopy, addressing the challenge that fibers are harder to process and identify than other microplastic shapes. The method improvements enable more accurate characterization of this common but technically challenging category of environmental microplastics.
Harmonizing infrared spectroscopic techniques for microplastic identification: a comparative evaluation of ATR and µFTIR transmission and reflection modes
Researchers systematically compared the performance of Attenuated Total Reflectance (ATR) and micro-Fourier Transform Infrared Spectroscopy (muFTIR) in both transmission and reflection modes for identifying microplastics from twelve common real-world plastic products, providing guidance on optimizing spectroscopic technique selection.
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.
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.
Scattering correction for samples with cylindrical domains measured with polarized infrared spectroscopy
This paper is not about microplastics; it describes a mathematical algorithm for correcting optical scattering artifacts in infrared spectroscopy measurements of cylindrical samples such as polymer fibers and collagen.
Investigating Microplastic Presence in Eye Drops Using Micro-Fourier Transform Infrared Spectroscopy
Using micro-FTIR spectroscopy, researchers detected microplastic particles ≥20 μm in commercial eye drops, finding evidence of plastic contamination in ophthalmic products and recommending further investigation into packaging sources.
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.
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.
Computer-Assisted Analysis of Microplastics in Environmental Samples Based on μFTIR Imaging in Combination with Machine Learning
Researchers developed machine learning approaches for automated microplastic identification in environmental samples from micro-FTIR imaging data, demonstrating improved accuracy and speed compared to traditional spectral library search methods for scalable analysis.
The applicability of reflectance micro-Fourier-transform infrared spectroscopy for the detection of synthetic microplastics in marine sediments
Researchers developed and validated an optimized micro-FT-IR spectroscopy protocol for detecting microplastics in coastal marine sediments, providing a detailed operating procedure. The standardized method improves detection reliability and enables comparison of results across laboratories studying sediment 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.
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.
A New Chemometric Approach for Automatic Identification of Microplastics from Environmental Compartments Based on FT-IR Spectroscopy
Researchers developed a new chemometric approach for automatic identification of microplastics from environmental samples, designed to handle the challenges of biofilm contamination and surface aging that typically impede standard spectroscopic characterisation methods.
Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra─A Case Study in Microplastic Analyses
Researchers developed a deep learning method to reconstruct low-quality FTIR and Raman spectra, demonstrating its effectiveness for automated microplastic analysis where rapid measurement workflows produce noisy, challenging spectral datasets.
Quantifying UV-Driven Aging of Sub-10 µm Airborne Microplastics with High-Resolution µFTIR-ATR Imaging
Researchers developed a high-resolution micro-FTIR imaging method to quantify UV-driven aging of airborne microplastics smaller than 10 micrometers. The technique overcomes previous limitations in measuring oxidation of PET and other polymers, enabling better characterization of how atmospheric weathering transforms small airborne microplastic particles over time.
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.
Identification of microplastics by FTIR and Raman microscopy: a novel silicon filter substrate opens the important spectral range below 1300 cm−1 for FTIR transmission measurements
Researchers developed a new approach using silicon filters compatible with both FT-IR and Raman spectroscopy to identify microplastics in environmental samples. The silicon filter substrate allows transmission-mode IR imaging across the entire sample without manual pre-sorting, improving efficiency and reducing contamination risk.
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.
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.
Analysis of Microplastics and Small Microplastics (<100 ??????m) in Natural Waters via Micro-FTIR
This book chapter discussed using micro-FTIR spectroscopy to detect and quantify microplastics smaller than 100 µm in natural (marine and freshwater) water samples. The authors emphasized the importance of this size class for ecological risk and described practical considerations for accurate quantification.
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.