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 Food & Water Nanoplastics Policy & Risk Sign in to save

Plasmonic Coacervate as a Droplet-Based SERS Platform for Rapid Enrichment and Microanalysis of Hydrophobic Payloads

Analytical Chemistry 2024 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Lichun Ning, Junbo Li, Qinhui Xie, Jianing Hu, Jian Liu, Cheng Xu, Jinsong Peng, Chunxia Chen, Wei Ji

Summary

Researchers developed a coacervate microdroplet platform incorporating silver nanoparticles as a surface-enhanced Raman scattering (SERS) substrate for detecting and quantifying trace hydrophobic contaminants, including those associated with microplastics. The platform demonstrated effective enrichment and sensitive detection of hydrophobic analytes, offering a droplet-based approach for microplastic-associated pollutant analysis.

Polymers

A novel and simple coacervate microdroplet-based detection platform for the quantification of trace hydrophobic analytes is presented. Herein, taking advantage of the effective encapsulation and enrichment performance of the condensed coacervates, plasmonic metallic silver nanoparticles (AgNPs) and target hydrophobic analytes are simultaneously concentrated into a single microdroplet. The coencapsulation of AgNPs within coacervates promotes the formation of aggregates with a lot of "hot spots" for surface-enhanced Raman scattering (SERS) enhancement, facilitating the sensitive analysis of hydrophobic analytes by SERS technology. Such plasmonic coacervates are easily prepared and exhibit good reproducibility and signal uniformity. Optimized SERS performance by modulating the volume of encapsulated AgNPs enables quantitative determination of hydrophobic analytes of Nile Red, chlorpyrifos, benzo[e]pyrene, 20 and 50 nm polystyrene nanoplastics with low detection limits of 10-12 M, 10-9 M, 10-10 M, 0.05 ppb, and 0.5 ppb, and an approximately linear correlation between SERS signals and the analytical concentrations. This study opens a new convenient SERS platform for the ultrasensitive detection of hydrophobic hazardous substances, potentially becoming a rapid analysis method for extensive applications ranging from food safety to environment monitoring.

Share this paper