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 Human Health Effects Policy & Risk Remediation Sign in to save

Surface nanodroplet-based nanoextraction from sub-milliliter volumes of dense suspensions

Lab on a Chip 2021 16 citations ? 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.
Jae Bem You, Detlef Lohse, Xuehua Zhang Jae Bem You, Jae Bem You, Jae Bem You, Xuehua Zhang Xuehua Zhang Xuehua Zhang Xuehua Zhang Jae Bem You, Xuehua Zhang Jae Bem You, Xuehua Zhang

Summary

Scientists developed a rapid micro-extraction technique using tiny surface droplets that can concentrate trace chemicals from very small sample volumes. This analytical method could be adapted for detecting microplastic-associated chemicals in water and environmental samples.

Study Type Environmental

A greener analytical technique for quantifying compounds in dense suspensions is needed for wastewater and environmental analysis, chemical or bio-conversion process monitoring, biomedical diagnostics, and food quality control, among others. In this work, we introduce a green, fast, one-step method called nanoextraction for extraction and detection of target analytes from sub-milliliter dense suspensions using surface nanodroplets without toxic solvents and pre-removal of the solid contents. With nanoextraction, we achieve a limit of detection (LOD) of 10-9 M for a fluorescent model analyte obtained from a particle suspension sample. The LOD is lower than that in water without particles (10-8 M), potentially due to the interaction of particles and the analyte. The high particle concentration in the suspension sample, thus, does not reduce the extraction efficiency, although the extraction process was slowed down up to 5 min. As a proof of principle, we demonstrate the nanoextraction for the quantification of model compounds in wastewater slurry containing 30 wt% solids and oily components (i.e. heavy oils). The nanoextraction and detection technology developed in this work may be used in fast analytical technologies for complex slurry samples in the environment, industrial waste, or in biomedical diagnostics.

Sign in to start a discussion.

Share this paper