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Papers
61,005 resultsShowing papers similar to Scattering correction for samples with cylindrical domains measured with polarized infrared spectroscopy
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 inFTIR Analysis of Microsized Samples
Researchers developed a universal computational approach to correct for Mie scattering distortions in FTIR infrared microspectroscopy of microsized samples, including microplastics. The method recovers accurate chemical information from spectra that would otherwise be distorted by optical effects from particle size and shape.
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.
Inverse Infrared Spectral Deconvolution for Quantitative Analysis of Polymer Mixtures in Scattering Media
Researchers developed an inverse infrared spectral deconvolution algorithm capable of nondestructively identifying polymer components in strongly scattering mixed-composition microspheres without chromatographic separation or calibration. The method reconstructs pure absorption spectra for each component, determines volume fractions, and can be fully automated, addressing key challenges in analytical and forensic polymer characterization.
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.
Correction of panoramic raman spectra and its application for microplastics content analysis
Researchers developed a correction method for panoramic Raman spectra to eliminate artifacts created when stitching together individual spectral segments, improving the accuracy of wideband Raman spectroscopy applied to microplastic identification and analysis.
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.
A Simple Sample Preparation Method to Significantly Improve Fourier Transform Infrared (FT-IR) Spectra of Microplastics
Researchers developed a simplified fiber-pressing method for FT-IR analysis of microplastics that presses fibers to under 10 µm thickness without requiring KBr powder, and validated it on atmospheric microplastic samples from Singapore and Phnom Penh. They found that the method increased the proportion of fibers achieving a library match score of 80% or higher from 51% with unpressed fibers to 98% with pressed fibers.
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.
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.
Inverse InfraredSpectral Deconvolution for QuantitativeAnalysis of Polymer Mixtures in Scattering Media
Researchers developed an inverse infrared spectral deconvolution method for noninvasively identifying polymer components in multicomponent scattering microspheres, reconstructing pure absorption spectra and determining volume fractions without chromatographic separation. The automated algorithm addresses challenges in analytical and forensic chemistry by enabling rapid quantification of polymer mixtures in complex scattering media.
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.
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.
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.
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.
A disposable optofluidic micro-transmission cell with tailorable length for Fourier-transform infrared spectroscopy of biological fluids.
Engineers developed a disposable microfluidic cell for infrared spectroscopy that overcomes water's strong absorption of infrared light, enabling analysis of biological fluids. This analytical tool development paper focuses on medical diagnostics and has no direct connection to microplastics research.
Degradation degree analysis of environmental microplastics by micro FT-IR imaging technology
Researchers used micro-FTIR spectral-image fusion to classify the degradation degree of polyethylene microplastics collected from coastal environments, achieving 97.1% classification accuracy and enabling estimation of environmental persistence time from spectral data.
Exploratory analysis of hyperspectral FTIR data obtained from environmental microplastics samples
Hyperspectral infrared imaging is an effective method for finding and characterizing microplastics in environmental samples, and this paper explores analytical approaches for extracting useful information from the large datasets it generates. Better analytical tools make it faster and more accurate to identify and classify microplastics in real-world samples.
Identification and Visualization Textile Fibers by Raman Imaging
Despite its title referencing textile fiber identification, this paper studies Raman spectral imaging as a forensic tool for distinguishing and visualizing different fiber types in blended or dyed textiles — not microplastic pollution. It examines how spectral imaging reveals fiber spatial distribution for forensic science applications, and is not relevant to microplastics or human health.
An investigation on the applications of advanced Infrared Spectroscopy, Spectral Imaging and Machine Learning for Polymer Characterization, including microplastics
This study integrated advanced infrared spectroscopy, spectral imaging, chemometrics, and machine learning to identify and characterize microplastics and polymer degradation products. The combination of techniques improved both the accuracy and throughput of MP analysis compared to conventional methods.
Microplastic Mass Quantification Using Focal Plane Array-Based Micro-Fourier-Transform Infrared Imaging
Researchers developed a method using focal plane array Fourier-transform infrared imaging to quantify microplastic mass by estimating particle volume from Beer's law absorption at each pixel, enabling three-dimensional geometry characterization. The approach provides more accurate mass-based quantification than counting or area methods alone.
Monitorization of polyamide microplastics weathering using attenuated total reflectance and microreflectance infrared spectrometry
Researchers monitored the weathering of polyamide (nylon) microplastics using attenuated total reflectance and microreflectance infrared spectrometry, finding that natural aging produces spectral changes that can make weathered plastics difficult to identify against standard reference databases.
Fourier-Transform Infrared Spectroscopy of Environmentally Weathered Textile Fabrics for Enhanced Microplastic Identification
This study used infrared spectroscopy to identify microplastic fibers from clothing that had been weathered by ocean conditions, finding that environmental aging makes spectral identification more difficult. Accurate detection of these aged fibers is essential for understanding the true scale of textile microplastic pollution in the ocean.