We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Dual-Channel Fluorescent Sensor for In-Situ Microplastic Detection and Identification
No summary available — this paper's abstract is not included in the open metadata provided by the publisher. Learn why →
More Papers Like This
Fluorescence sensing of microplastics on surfaces
AI summary Read the abstract
Fluorescence techniques using Nile Red and pyrene as polarity probes can detect polystyrene microplastics directly on surfaces such as sand and sea salt, with a detection limit of approximately 0.2 micrograms per gram on sea salt. While relatively low in selectivity, this rapid method offers a practical tool for environmental screening and risk assessment of microplastic contamination in coastal and marine settings.
Quantitative Detection of Microplastics in Water Through Real-Time Analysis of Fluorescence Signal
AI summary Read the abstract
Researchers developed a real-time fluorescence-based detection method for quantifying microplastics in water, addressing limitations of existing techniques and enabling faster, more sensitive monitoring of microplastic concentrations in environmental samples.
Application of Eco-Friendly Fluorescent Dyes in Microplastic Detection
AI summary Read the abstract
Scientists tested safer, eco-friendly glowing dyes as a way to spot tiny plastic particles (microplastics) in samples, comparing them to the commonly used dye Nile Red. They found that the best dye and lighting combo depends on the type of plastic, for example, polypropylene (found in many food containers and packaging) was hardest to detect, while PET (used in bottles) was easiest. This matters because better, safer detection tools could help researchers more accurately track how much microplastic pollution surrounds us, which is an important step toward understanding its potential effects on our health.
Discrete sensors to detect microplastics in environment
AI summary Read the abstract
This review surveys discrete sensor technologies — including optical, resonance, autonomous, and biosensors — developed for in situ detection of microplastics in environmental samples, highlighting the challenges posed by particle size, transparency, and varying surface structures. Rapid, field-deployable microplastic detection tools are essential for real-time environmental monitoring, which is a prerequisite for understanding pollution hotspots and assessing human exposure risks.
Detection of Inactivated Fluorescent Microplastics by Nile Red Staining
AI summary Read the abstract
Researchers developed a Nile Red staining method to detect inactivated fluorescent microplastics, improving the reliability of particle identification in biological and environmental samples. Accurate detection techniques are foundational for microplastic research because consistent identification methods enable reliable quantification of human exposure and tissue accumulation data.
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.