0
Article Tier 2 Detection Methods Sign in to save

New application for the identification and differentiation of microplastics based on fluorescence lifetime imaging microscopy (FLIM)

Journal of environmental chemical engineering 2020 58 citations

No summary available — this paper's abstract is not included in the open metadata provided by the publisher. Learn why →

More Papers Like This

Article Tier 2

A promising method for fast identification of microplastic particles in environmental samples: A pilot study using fluorescence lifetime imaging microscopy

AI summary Read the abstract

Researchers piloted fluorescence lifetime imaging microscopy as a fast method for identifying microplastic particles in environmental samples. The study suggests this technique could simplify microplastic analysis by potentially eliminating the need for extensive extraction steps, enabling more direct identification of plastic particles in complex matrices.

Article Tier 2

Identification and Characterization Methods for Microplastics Basing on Spatial Imaging in Micro-/Nanoscales

AI summary Read the abstract

This review evaluates spatial imaging techniques at micro- and nanoscales — including Raman spectroscopy, FTIR, and electron microscopy — for identifying and characterizing microplastics in environmental samples. Advancing detection and characterization methods is foundational to understanding microplastic bioavailability and their capacity to adsorb toxic chemicals that harm living organisms.

Article Tier 2

Fluorescence imaging of microplastics and nanoplastics in biological samples

AI summary Read the abstract

Researchers reviewed fluorescence imaging techniques for detecting microplastics and nanoplastics in biological samples, highlighting advances in fluorescent dye staining, label-free autofluorescence detection, and super-resolution microscopy that can visualize particles as small as 50 nm inside living organisms.

Article Tier 2

Label-free identification and differentiation of different microplastics using phasor analysis of fluorescence lifetime imaging microscopy (FLIM)-generated data

AI summary Read the abstract

Researchers developed a label-free method using fluorescence lifetime imaging microscopy (FLIM) combined with phasor analysis to identify and differentiate multiple types of microplastics based on their unique fluorescence lifetime signatures, enabling more efficient microplastic characterization without chemical staining.

Article Tier 2

Laser induced fluorescence and machine learning: a novel approach to microplastic identification

AI summary Read the abstract

Researchers combined laser-induced fluorescence with machine learning to identify microplastics in water in real time, achieving 97.6% accuracy in distinguishing plastics from other organic matter and 88.3% accuracy in identifying specific plastic types — a promising step toward automated ocean monitoring.

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