We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Modification of fluorescence staining method for small-sized microplastic quantification: Focus on the interference exclusion and exposure time optimization
AI summary Read the abstract
Researchers optimized a Nile Red/DAPI fluorescence co-staining method for quantifying small microplastics, identifying key interference factors and exposure time parameters that significantly improve accuracy of microplastic detection.
Microplastics are an emerging pollutant of global concern, and fluorescence staining as an efficient method for small-sized microplastic qualification often undergoes the serious interference from external environments. The key steps affecting the accuracy of fluorescent staining and the corresponding quality assurance measures were rarely known. Therefore, this study took the Nile Red/DAPI co-staining method as an example to explore the key factors affecting its accuracy and effective measures to avoid interference. High background microplastic contamination in typical lab waters (up to 1115 MP/L), glass fiber filter membrane and glassware were identified as dominant factors affecting microplastic quantification. The background microplastics in lab waters mainly originated from the process of water production and storage. A simple filtration process removed 99% of the background microplastic in the lab waters. After burning at 500 °C for 1 h, the microplastic contamination in the filter membrane and glassware was completely eliminated. HO pretreatment and exposure time caused erroneous microplastic size assessment, and were suggested to be set at 48 h and 10 ms, respectively. During the extraction process, the residue in beakers reached ~ 20% and > 50% for 5 μm and 20 μm sized microplastics, respectively, greatly contributing to the microplastic loss. The comprehensive modified measures caused microplastic concentrations in the three typical samples detected by Nile Red/DAPI co-staining method to decrease by 65.7 - 92.2% and to approach the micro-Raman results. This study clarified the reasons for interfering with quantitative microplastics by fluorescent staining and the effective measures to avoid interference, which were conducive to improving the accuracy of quantitative methods of microplastics.
More Papers Like This
Microplastic detection and identification by Nile red staining: Towards a semi-automated, cost- and time-effective technique
AI summary Read the abstract
Researchers developed a semi-automated, cost-effective method for microplastic detection using Nile red fluorescent staining, showing it can significantly reduce the time and expense of identifying microplastics compared to traditional spectroscopic approaches.
Comprehensive assessment of factors influencing Nile red staining: Eliciting solutions for efficient microplastics analysis
AI summary Read the abstract
Researchers conducted a comprehensive assessment of Nile red staining for microplastic analysis and found that wavelength, temperature, hydrogen peroxide treatment, NaCl addition, and plastic polymer type all significantly influence staining efficiency, proposing solutions to improve detection accuracy.
Systematic optimization of Nile Red staining parameters for the reliable detection of microplastics ≤ 2 µm
AI summary Read the abstract
Researchers optimized a Nile Red staining and filtration protocol for reliably detecting microplastics smaller than 2 µm, a size range typically missed by existing fluorescence methods, demonstrating that careful parameter tuning makes this low-cost technique viable for sub-5 µm particle detection.
A rapid-screening approach to detect and quantify microplastics based on fluorescent tagging with Nile Red
AI summary Read the abstract
Researchers developed a rapid fluorescent screening method using Nile Red dye to detect and quantify microplastics in environmental samples, finding it significantly faster than conventional methods while maintaining reasonable accuracy.
Identification and quantification of microplastics using Nile Red staining
AI summary Read the abstract
Researchers tested Nile Red staining as a method for identifying and quantifying microplastics in environmental samples, finding it useful for rapid screening but noting limitations in distinguishing plastics from non-plastic particles.
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.