Abstract
Spectroscopic technology is widely used in identifying the categories of microplastics (MPs) for its non-destructive, rapid, and without pretreatment characters. Recognition of spectral category is often conducted by matching with spectral reference library, this works well with a known material library, but fails to blindly identify the unknown source of the environmental MPs. In this work, a robust classifier was proposed to differentiate the chemical types of environmental MPs samples, and the recognition rate was higher than 0.97. This robust classifier innovatively proposed an adaptive estimator in the developed k-nearest neighbor (kNN) model as the hard threshold to classify the environmental MPs, and thus the interference of spectral distortions and diversity was effectively eliminated. This method increases the ability to interpret the spectra of realistic environmental MPs samples.
Highlights
Microplastics (MPs) are plastic fragments less than five millimeters, and in recent years it gains much attention in environmental pollution researches
The spectral distortion of PE plastic demonstrated that a new group wa generated through environmental degradation, such as an alkyne bond (C-H) at 1435 cm−1 in some samples
A robust classifier was proposed to adjust an adaptive distance estimation in conventional k-nearest neighbor (kNN), and to overcome the negative influence of the spectral distortions caused by environmental contaminants or plastic degradation
Summary
Microplastics (MPs) are plastic fragments less than five millimeters, and in recent years it gains much attention in environmental pollution researches. Plastic waste management is an important task of the world environmental safety [1]–[4]. Vibrational spectroscopic measurements, including infrared absorption [5]–[7], near-infrared diffuse reflectance [8], [9] and Raman scattering, are the widely used methods due to their advantages as non-destructive and simple preparations. This technology is reliable because it can provide molecular structural information [10], [12]. Though the infrared spectral technology is not sensitive to external interference, The associate editor coordinating the review of this manuscript and approving it for publication was Guido Lombardi
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