0
Article Tier 2 Sign in to save

Staining Strategies for the Fluorescence Detection of Nano-Microplastics

AI summary Read the abstract

Researchers reviewed fluorescence-based staining strategies for detecting nano- and microplastics, comparing conventional organic dyes such as Nile Red against emerging alternatives like carbon dots and conjugated polymer nanoparticles, and assessed their respective strengths and limitations for visual identification workflows.

The nano- and microplastics (NMP) are ubiquitous in the environment. Indeed, they are present in the air, water, soils, many living organisms, and different food and beverage products. Detection, identification, and/or quantification were performed using various analytical techniques. Most NMP identification is achieved primarily through Raman and infrared microscopy, while its identification and quantification are mainly performed using thermal gas chromatography coupled with mass spectrometry. Due to the inherent characteristics of analytical fluorescence techniques, it is one of the most widely used methods for analyzing NMP. To do that, the NMP were usually stained with various fluorescent organic dyes. Fluorescent NMP staining is primarily performed with Nile Red, the principal organic dye used. This NMP fluorescence analysis was performed using steady-state fluorescence microscopy. Fluorescence nanoparticles, such as carbon dots or conjugated polymer nanoparticles, are emerging as a potential alternative to organic dyes for the fluorescence-based visual detection of NMP. The fluorescence-based detection of NMP focuses on staining strategies and the characteristics of staining fluorescence detection using organic dyes and fluorescent nanoparticles, which were reviewed. A critical review of the various staining fluorescence strategies already employed, along with the fluorescence characteristics of organic dyes and fluorescent nanoparticles, will be conducted.

More Papers Like This

Article Tier 2

Staining Strategies for the Fluorescence Detection of Nano-Microplastics

AI summary Read the abstract

Researchers reviewed fluorescence-based staining strategies for detecting nano- and microplastics, comparing the widely used dye Nile Red against emerging alternatives such as carbon dots and conjugated polymer nanoparticles, and evaluating the advantages and limitations of each approach for visual identification.

Article Tier 2

Staining Strategies for the Fluorescence Detection of Nano-Microplastics

AI summary Read the abstract

Researchers reviewed fluorescence-based detection strategies for nano- and microplastics, comparing organic dyes — particularly Nile Red — with emerging fluorescent nanoparticles such as carbon dots, and assessed how staining characteristics, selectivity, and imaging modality affect detection reliability across environmental and biological matrices.

Article Tier 2

The potential of fluorescent dyes—comparative study of Nile red and three derivatives for the detection of microplastics

AI summary Read the abstract

Researchers compared Nile red and three newly developed fluorescent dye derivatives for staining microplastics, finding that the derivatives achieved greater selectivity for plastic particles and more intense fluorescence than standard Nile red, improving detection sensitivity.

Article Tier 2

Analyzing microplastics with Nile Red: Emerging trends, challenges, and prospects

AI summary Read the abstract

This review evaluates the Nile Red staining technique as an analytical method for identifying and quantifying microplastics in environmental samples. The study concludes that while Nile Red has emerged as a viable low-cost alternative to visual identification for microplastics research, not everything that fluoresces is plastic, so additional spectroscopic analysis is needed to validate results.

Article Tier 2

Dyeing to Know: Optimizing Solvents for Nile Red Fluorescence in Microplastics Analysis

AI summary Read the abstract

Researchers investigated how the choice of solvent affects Nile Red fluorescence staining for microplastic identification, optimizing solvent conditions to improve the reliability of fluorescence-based classification of microplastic polymer types in environmental samples.

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