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Papers
61,005 resultsShowing papers similar to Application of FTIR-ATR spectroscopy in the detection of microplastics in Croatian agricultural soils
ClearA comparative study on the distribution behavior of microplastics through FT-IR analysis on different land uses in agricultural soils
Researchers compared microplastic distribution in agricultural soils under different land uses, including soil mulching, plastic housing, and sewage sludge composting. Using FT-IR analysis, the study found that plastic particles smaller than 100 micrometers were present across all conditions, highlighting the widespread and persistent nature of microplastic contamination in agricultural environments.
Soil contamination by microplastics in relation to local agricultural development as revealed by FTIR, ICP-MS and pyrolysis-GC/MS
Researchers assessed microplastic contamination in farmland soils in Tunisia, where plastic film mulching and wastewater irrigation have been practiced for decades. Using FTIR, ICP-MS, and pyrolysis-GC/MS, the study found microplastic concentrations of 50 to 880 items per kilogram, with polypropylene being the most common type. The findings suggest that long-term agricultural practices involving plastic materials create significant pathways for microplastic accumulation in soils.
Rapid Detection of Microplastics in Plastic-covered Soil Using FT-NIR and ATR-FTIR Spectral Data Fusion
Scientists developed a new method to quickly detect tiny plastic particles in farm soil by combining two different light-based detection techniques. This method can accurately measure microplastic pollution in agricultural fields where plastic covers are used for growing crops. This matters because microplastics in farm soil can potentially enter our food chain through the fruits and vegetables we eat.
Identification and characterization of extracted microplastics from agricultural soil near industrial area: FTIR and X‐ray diffraction method
Researchers extracted and characterized microplastics from agricultural soil near a plastics manufacturing site, finding a range of polymer types and shapes and demonstrating an effective isolation protocol using density flotation with saturated NaCl.
Rapid Detection of Microplastics in Plastic-covered Soil Using FT-NIR and ATR-FTIR Spectral Data Fusion
Scientists developed a faster way to detect tiny plastic particles in farm soil by combining two different scanning methods. This new technique can accurately measure microplastic pollution in agricultural fields where plastic covers are used to help crops grow. This matters because microplastics in farm soil can potentially enter our food supply, so having better detection methods helps us monitor and control this type of pollution.
Automated identification and quantification of invisible microplastics in agricultural soils
Researchers developed an automated method combining laser direct infrared and FTIR spectroscopy to identify microplastics in agricultural soils, revealing that particles smaller than 500 micrometers account for over 96% of soil microplastics that are invisible to traditional visual inspection.
Rapid detection of microplastics in plastic-covered soils using FT-NIR and ATR-FTIR spectral data fusion
Researchers developed a rapid, non-destructive method to detect microplastics in agricultural soils by combining two infrared spectroscopy techniques (FT-NIR and ATR-FTIR) with machine-learning models. The fused spectral approach substantially outperformed either technique alone, detecting microplastics down to around 7 parts per million. Fast, accurate soil screening tools are critical for understanding and managing the growing microplastic contamination in farmland.
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.
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.
Comparative Evaluation of Analytical Techniques for Quantifying and Characterizing Polyethylene Microplastics in Farmland Soil Samples
This study compared five common methods for detecting and counting polyethylene microplastics in farmland soil to find which works best. Micro-FTIR spectroscopy had the widest detection range and highest accuracy at 91%, while simple visual inspection under a microscope only caught about 70%. The findings are important because unreliable detection methods lead to inconsistent pollution data, making it harder to assess how much microplastic contamination exists in the soil where our food grows.
Towards a fast and generalized microplastic quantification method in soil using terahertz spectroscopy
Researchers compared terahertz and near-infrared spectroscopy for quantifying microplastics in soil, finding that terahertz spectroscopy offered a faster and more accurate approach than NIR for distinguishing household microplastics from standard reference polymers in soil matrices.
Microplastic accumulation in agricultural soils: Source apportionment and impact on soil microbial community structure
Researchers investigated microplastic accumulation patterns in intensively farmed agricultural soils at multiple depth intervals, using polymer fingerprinting to apportion contamination sources among plastic mulch, treated wastewater irrigation, and organic amendment application. The study assessed impacts on soil microbial community structure using FTIR-confirmed microplastics extracted by zinc chloride density flotation.
Sources of Microplastics in the Soil and Use of Laser Direct Infrared Imaging for Microplastic Detection
This review covers agricultural soil microplastic sources and examines the application of laser direct infrared (LDIR) imaging as an alternative to conventional Raman and FTIR methods for detecting microplastics in complex soil matrices.
Spectral data of PE and PP microplastics in soil (FT-NIR & ATR-FTIR)
Researchers developed a dataset of FT-NIR and ATR-FTIR spectral data for polyethylene and polypropylene microplastics in soil, designed to support training and validation of a support vector regression model for rapid quantitative detection of microplastics using spectral fusion and machine learning.
Spectral data of PE and PP microplastics in soil (FT-NIR & ATR-FTIR)
Researchers developed a dataset of FT-NIR and ATR-FTIR spectral data for polyethylene and polypropylene microplastics in soil, designed to support training and validation of a support vector regression model for rapid quantitative detection of microplastics using spectral fusion and machine learning.
Prevalence of microplastics in agricultural soils in southern Portugal
Researchers conducted the first survey of microplastic contamination in agricultural soils from southern Portugal, collecting samples across four land-use areas with different farming practices and characterizing polymer types and their associations with agricultural history in a Mediterranean system.
Prevalence of microplastics in agricultural soils in southern Portugal
Researchers conducted the first survey of microplastic contamination in agricultural soils from southern Portugal, collecting samples across four land-use areas with different farming practices and characterizing polymer types and their associations with agricultural history in a Mediterranean system.
Microplastic Analysis in Soil Using Ultra-High-Resolution UV–Vis–NIR Spectroscopy and Chemometric Modeling
Researchers tested a new method using UV-visible-near infrared spectroscopy combined with machine learning to identify microplastics in soil samples. They found the technique could rapidly and accurately distinguish between different plastic polymers and natural soil particles. The study offers a promising alternative to current labor-intensive identification methods, potentially making large-scale microplastic soil monitoring more practical.
Vis-NIR spectroscopy based rapid and non-destructive method to quantitate microplastics: An emerging contaminant in farm soil
Researchers developed a rapid, non-destructive method using visible and near-infrared spectroscopy to quantify microplastics in farm soil. The study suggests this approach could overcome the limitations of current extraction-based methods, which are time-consuming and prone to errors and biases.
Detection and Characterization of Microplastics in Soil and Dust from Urban Road Surface
Researchers detected and characterized microplastics in road dust and soil from urban surfaces in Jambi City using FTIR, SEM-EDS, and binocular microscopy, identifying fiber, fragment, and other morphological forms and documenting the polymer types present in urban terrestrial environments.
Assessment of microplastics contamination on agricultural farmlands in central Bangladesh
Agricultural farmlands in central Bangladesh were surveyed for microplastic contamination using microscopy and FTIR spectroscopy, detecting plastics in all 32 samples collected across four sites. Fragments and fibers were the dominant types, with contamination likely linked to irrigation water, plastic mulch use, and atmospheric deposition.
Predicting soil microplastic concentration using vis-NIR spectroscopy
Researchers used visible and near-infrared (vis-NIR) spectroscopy to predict microplastic concentrations in soil samples, developing calibration models that could estimate contamination levels directly from spectral measurements without extensive sample preparation. The approach offers potential for faster and more scalable monitoring of microplastic pollution in agricultural and natural soils.
Distribution of microplastics in mulched soil in Xinjiang, China
Researchers studied microplastic distribution in plastic film mulched farmland soils in Xinjiang, China, using an optimised fluidization-centrifugation density flotation method, finding that plastic mulch was the dominant source of soil microplastics and characterising their morphology, size distribution, and polymer composition by Fourier spectroscopy and electron microscopy.
Innovative approach for determining polypropylene microplastics pollution in calcareous soils: Vis-NIR spectroscopy
Researchers demonstrated that visible and near-infrared (Vis-NIR) spectroscopy combined with statistical modeling can accurately detect and quantify polypropylene microplastics in agricultural calcareous soils, with a model accuracy of R² = 0.91. This is promising because it could enable rapid, low-cost field screening of soil microplastic contamination without expensive laboratory analysis.