0
Article Tier 2 Detection Methods Sign in to save

Detection of Microplastics from Domestic Laundering Using Attenuated Total Reflectance – Fourier Transform Infrared (ATR-FTIR) Spectroscopy

AI summary Read the abstract

Researchers used ATR-FTIR spectroscopy to detect and characterize microplastics released from domestic laundry, identifying it as a significant pathway for microplastic pollution entering waterways from everyday household textile washing.

Microplastics (MPs) are anthropogenic pollutants present predominately in rivers, lakes, oceans, remote islands, and polar regions. MPs are an emerging threat to the environment and human and animal health with potential adverse effects. Among many MP emitters,...

More Papers Like This

Article Tier 2

Characterization of Microplastics Using Fourier Infrared Spectroscopy

AI summary Read the abstract

Researchers applying Fourier transform infrared spectroscopy to microplastic characterization demonstrated its effectiveness as an analytical tool for identifying polymer types and chemical composition, providing a robust method for environmental monitoring of microplastic contamination.

Article Tier 2

Microplastic Characterization by Infrared Spectroscopy

AI summary Read the abstract

Infrared spectroscopy is an indispensable tool for characterizing the chemical composition of microplastics, enabling identification of polymer types across diverse environmental samples. Accurate chemical characterization is foundational to realistic risk assessment, as different polymer types carry different toxicological profiles and environmental persistence.

Article Tier 2

Microplastic Characterization by Infrared Spectroscopy

AI summary Read the abstract

Researchers reviewed how infrared spectroscopy can identify the chemical composition of microplastics, finding it is an essential tool for determining which types of polymers are present in environmental samples — information needed to trace plastic sources and assess health risks.

Article Tier 2

Novel approach to Infrared spectroscopy and imaging for the routine characterization of microplastics in environmental samples

AI summary Read the abstract

This study presents an improved infrared spectroscopy and imaging approach for routine identification and characterization of microplastics in environmental samples, addressing the need for standardized analytical methods. Consistent, reliable detection methods are essential for generating comparable data across studies to accurately assess the true scale of global microplastic pollution.

Article

Advancing microplastic characterization in environmental samples using optical photothermal infrared (O-PTIR) spectroscopy

AI summary Read the abstract

This research applied machine learning algorithms to beach litter images from India's eastern coast, training classifiers to identify and categorize litter items from survey photographs. The ML-based approach demonstrated efficient litter classification at scale, offering a practical tool for national beach monitoring programs.

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.

Email me about

Share this paper