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Rapid Detection of Microplastics in Plastic-covered Soil Using FT-NIR and ATR-FTIR Spectral Data Fusion
Summary
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.
Agricultural soils are significant reservoirs of microplastic pollution, making efficient quantification methods crucial for assessment and control. The study employed Fourier Transform Near-Infrared Spectroscopy (FT-NIR) and Attenuated Total Reflection Fourier Transform Infrared Spectroscopy (ATR-FTIR) to acquire spectral data from soils in plastic-covered fields. Microplastic concentrations in soil samples were determined through density separation and digestion methods to establish truth values. Middle-level and low level data fusion strategies were integrated with Support Vector Regression (SVR) to construct mathematical models linking spectral data to truth values. The experimental results demonstrated that the spectral fusion strategy significantly outperformed single technique models. Principal Component Analysis (PCA) combined with the middle-level method showed optimal performance, achieving a root mean square error (RMSEP) of 2.1110 and a limit of detection (LOD) of 6.9258 mg·kg-1 on the prediction set, while exhibiting good generalization capability on the test set (RMSET = 3.8727). Spectral fusion technology integrating FT-NIR and ATR-FTIR enables rapid quantitative detection of soil microplastics, offering an innovative approach for monitoring microplastic pollution in farmland.
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