0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Nanoplastics Sign in to save

One-stop quantification of microplastics and nanoparticles based on meniscus self-assembly technology

The Science of The Total Environment 2024 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jiajia Shan Jiajia Shan Weiqing Yang, Weiqing Yang, Jiajia Shan Jiajia Shan Yuan Zheng, Jiajia Shan Jiajia Shan Jiajia Shan Yunlong Li, Dandan Li, Jiajia Shan Yunlong Li, Jiajia Shan Xue Wang, Weiqing Yang, Jiajia Shan Yuan Zheng, Yuan Zheng, Yuan Zheng, Yuan Zheng, Jiajia Shan Jiajia Shan Jiajia Shan Jiajia Shan Dandan Li, Xv Zhao, Jiajia Shan Jiajia Shan Xv Zhao, Xiaojing Yang, Jiajia Shan Jiajia Shan Jiajia Shan Jiajia Shan

Summary

Researchers developed a meniscus self-assembly enrichment method that deposits nanoplastics uniformly within a specific area, enabling one-stop quantification of both microplastics and nanoparticles by overcoming agglomeration and dispersion problems inherent in traditional enrichment approaches.

Micro-nano plastics (MNPs) pollution is currently a hot topic of global concern. However, there is still a lack of reliable analytical methods for completely quantitative analysis of MNPs, especially nanoplastics. This study proposes meniscus self-assembly enrichment method, which deposits nanoplastics more uniformly in a specific area. The meniscus self-assembly method greatly overcomes the agglomeration or dispersion of nanoplastics caused by traditional enrichments, and facilitates particles counting. This study investigates the effect of key parameters (e.g. time and initial concentration) on meniscus self-assembly enrichment performance. Besides, due to the large size difference between MNPs, it leads to incomplete quantification analysis when MNPs are counted at the same scale. In response to this problem, this study proposes a one-stop method to count MNPs separately through filtering. The plastics (>1 μm) are collected on the filter paper, then plastics (<1 μm) in the filtrate are homogeneously enriched by meniscus self-assembly, and finally statistically counted by scanning electron microscopy (SEM). The migration of MNPs from take-out plastic containers are detected, with microplastics of 460.55 particles/mL and nanoplastics of 4196.61 particles/mL found. The method has the advantages of saving time and effort, economic efficiency and comprehensive statistics compared with the traditional method.

Sign in to start a discussion.

Share this paper