Sensitive and Multiplexed SERS Nanotags for the Detection of Cytokines Secreted by Lymphoma

ACS Sens. 2019 Sep 27;4(9):2507-2514. doi: 10.1021/acssensors.9b01211. Epub 2019 Sep 10.

Abstract

The sensitive and simultaneous detection of cytokines will provide new insights into the physiological process and disease pathways due to the complex nature of cytokine networks. However, the key challenge is the lack of probes that can simultaneously detect multiple cytokines in a single sample. In this contribution, we proposed an alternative approach for sensitive cytokine detection in a multiplex manner by the use of a new set of surface-enhanced Raman spectroscopy (SERS) nanotags. Typically, the newly designed SERS nanotags are composed of gold nanoparticles as the core, tuneable Raman molecules as the reporters, and a thin silver layer as the shell. As demonstrated through rigorous numerical simulations, enhanced Raman signal is achieved due to a strong localization of light in the 0.2 nm thin, optically deep-subwavelength region between the Au core and the Ag shell. Sensitive detection of cytokines is realized by forming a sandwich immunoassay. The detection limit is down to 4.5 pg mL-1 (S/N = 3). The specificity of the assay is proved as negligible signals were detected for the false targets. Furthermore, multiple cytokines are simultaneously detected in a single assay from the secretion of B-lymphocyte cell line (Raji) after concanavalin A (Con A) stimulation. The results indicate that our method holds a significant potential for sensitive and multiplexed detection of cytokines and offers the opportunity for future applications in clinical settings.

Keywords: cytokine; lymphoma; multiplexed detection; nanotags; surface-enhanced Raman spectroscopy; theoretical simulation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Line, Tumor
  • Cytokines / metabolism*
  • Humans
  • Limit of Detection*
  • Lymphoma / metabolism*
  • Lymphoma / pathology
  • Nanotechnology / methods*
  • Spectrum Analysis, Raman / methods*

Substances

  • Cytokines