0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Policy & Risk Sign in to save

Identification of Plastic Type and Surface Roughness of Film-Type Plastics in Water Using Kramers–Kronig Analysis

Chemosensors 2020 10 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Boniphace Kanyathare, Benjamin O. Asamoah, Umair Ishaq, James Amoani, Jukka Räty, Kai-Erik Peiponen∥

Summary

Researchers applied Kramers-Kronig optical analysis to identify both smooth and rough film-type plastics in water using visible and near-infrared spectroscopy, even when surface roughness causes light scattering. This enables more reliable in-situ identification of plastic type in complex environmental settings.

The knowledge of the plastic type, thickness, and the nature of the surface is important towards the monitoring of microplastic pollution in water bodies, especially when vis-NIR spectroscopy is utilized. Factors such as complex environment and surface roughness induced-light scattering of the probing light limit the optical detection of these parameters in in-situ measurements, however. In this paper, a novel application of Kramers–Kronig analysis was exploited to identify both smooth and rough film-type macroplastics with unknown thickness. This method is particularly useful in the in-situ identification of unknown film-like macroplastics; although the sample is large, the ratio function is detected from an area that corresponds to the size of a MP. Therefore, it can be applied for the case of large size MPs. The validity of the method was demonstrated using transmittance data for smooth and roughened plastics given in Kanyathare et al., 2020.

Share this paper