We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Identification of Marine Plastics using Raman Spectroscopy
AI summary Read the abstract
This thesis evaluated Raman spectroscopy as a technology for identifying plastic types in marine environments, showing it can in principle extract chemical fingerprints of microplastics underwater — an important step toward autonomous underwater detection systems.
Plastics have permeated almost every aspect of modern day life with its wide applicability. The tragic consequence is millions of pieces of plastic polluting and harming sea life every day. The road towards a clean sea contains several legs and requires mapping of the ocean water column to determine critical areas. Determining technologies and methods for the detection of microplastics underwater are hence a necessity. Raman spectroscopy is such a technology, in principle able to extract the chemical structure of the object to be viewed by collecting spectral signatures at the point illuminated. This creates the foundation for the research presented in this paper, aiming to cover whether it is possible to classify specific types of microplastics underwater by identifying their respective spectral signatures. Raman spectroscopy has been carried out on three different cases of samples. The first case involves known plastic, ordered from CARAT AS, with the purpose of creating the foundation of a partial least squares discriminant analysis (PLS-DA) model. The second case holds the same base but includes drops of water on top of the original sample. This case provided data for testing the prediction of the PLS-DA model. The third case includes raw plastic pieces, collected from the sea outside Svolvær, Lofoten. The measurements of these samples create the grounds for the last test-set. The results suggest that the method can classify microplastic correctly, both in water and sea-influenced pieces. However, the specific spectra cannot vary too much as a result of industrial and environmental changes altering the condition of the plastic, and thereby the spectrum. This leaves the mapping and classification method best suited for plastics that recently entered the ocean.
More Papers Like This
Study on Rapid Recognition of Marine Microplastics Based on Raman Spectroscopy
AI summary Read the abstract
Researchers developed a rapid identification system for marine microplastics using Raman spectroscopy, enabling quick determination of plastic type and size. Fast, accurate identification tools are critical for monitoring the growing problem of microplastic pollution in ocean environments.
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
AI summary Read the abstract
This review summarizes the latest advances in using Raman spectroscopy to identify microplastics in environmental samples, highlighting improvements in speed, sensitivity, and the ability to characterize plastic type and surface chemistry.
Raman Spectroscopy and Machine Learning for Microplastics Identification and Classification in Water Environments
AI summary Read the abstract
Researchers combined Raman spectroscopy with machine learning algorithms for automated identification and classification of microplastics in water environments, achieving high accuracy in distinguishing different polymer types based on spectral fingerprints.
Exposed Identity: Microplastics Under The Raman Microscope
AI summary Read the abstract
This presentation described using Raman microscopy to identify and characterize microplastics, demonstrating how this spectroscopic technique can reveal the identity of tiny plastic fragments found in marine organisms, food products, and drinking water.
Microplastic identification using Raman microsocpy
AI summary Read the abstract
Researchers developed and implemented a Raman spectroscopy system for rapid detection and identification of microplastic particles on substrates. The system enables efficient chemical characterization of microplastics found across diverse environmental matrices including ocean, lakes, soil, beach sediment, and human blood.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.