Jump to main content
Jump to site search

Issue 4, 2019
Previous Article Next Article

SERS-based droplet microfluidics for high-throughput gradient analysis

Author affiliations

Abstract

In the last two decades, microfluidic technology has emerged as a highly efficient tool for the study of various chemical and biological reactions. Recently, we reported that high-throughput detection of various concentrations of a reagent is possible using a continuous gradient microfluidic channel combined with a surface-enhanced Raman scattering (SERS) detection platform. In this continuous flow regime, however, the deposition of nanoparticle aggregates on channel surfaces induces the “memory effect,” affecting both sensitivity and reproducibility. To resolve this problem, a SERS-based gradient droplet system was developed. Herein, the serial dilution of a reagent was achieved in a stepwise manner using microfluidic concentration gradient generators. Then various concentrations of a reagent generated in different channels were simultaneously trapped into the tiny volume of droplets by injecting an oil mixture into the channel. Compared to the single-phase regime, this two-phase liquid/liquid segmented flow regime allows minimization of resident time distributions of reagents through localization of reagents in encapsulated droplets. Consequently, the sample stacking problem could be solved using this system because it greatly reduces the memory effect. We believe that this SERS-based gradient droplet system will be of significant utility in simultaneously monitoring chemical and biological reactions for various concentrations of a reagent.

Graphical abstract: SERS-based droplet microfluidics for high-throughput gradient analysis

Back to tab navigation

Supplementary files

Publication details

The article was received on 30 Oct 2018, accepted on 11 Jan 2019 and first published on 11 Jan 2019


Article type: Paper
DOI: 10.1039/C8LC01180J
Citation: Lab Chip, 2019,19, 674-681

  •   Request permissions

    SERS-based droplet microfluidics for high-throughput gradient analysis

    J. Jeon, N. Choi, H. Chen, J. Moon, L. Chen and J. Choo, Lab Chip, 2019, 19, 674
    DOI: 10.1039/C8LC01180J

Search articles by author

Spotlight

Advertisements