Multiplexed electrochemical immunoassay for two immunoglobulin proteins based on Cd and Cu nanocrystals

Dianping Tang1, Jingjing Ren, Minghua Lu

  • 1Chongqing Key Laboratory of Environmental Materials & Remediation Technologies, Chongqing University of Arts and Sciences, Chongqing 402160, PR China. dianping.tang@fzu.edu.cn.

The Analyst
|November 22, 2017
PubMed

Insights

A novel electrochemical immunosensing method enables simultaneous detection of human IgG (HIgG) and rabbit IgG (RIgG) using distinct nanotags on a single electrode. This sensitive assay shows promise for clinical applications.

Area of Science:

  • Electrochemistry
  • Biosensing
  • Nanotechnology

Background:

  • Simultaneous detection of multiple biomarkers is crucial for accurate disease diagnosis.
  • Conventional electrochemical immunoassays often face challenges with cross-talk and enzymatic complexity.

Purpose of the Study:

  • To develop a simple and feasible electrochemical immunosensing method for simultaneous detection of human IgG (HIgG) and rabbit IgG (RIgG).
  • To utilize distinguishable signal-generation tags on a single electrode for multiplexed analysis.

Main Methods:

  • Fabrication of a gold electrode modified with Fab antibody fragments.
  • Synthesis and functionalization of copper (Cu) and cadmium (Cd) nanocrystals as nanotags.
  • Square-wave anodic stripping voltammetry for signal detection after a sandwiched immunoreaction.

Main Results:

  • Simultaneous detection of HIgG and RIgG in a single run with a linear range of 0.01–10 ng mL⁻¹.
  • Achieved low limits of detection (LODs) as low as 3.4 pg mL⁻¹ for both analytes.
  • Demonstrated good precision, reproducibility, specificity, and accuracy.

Conclusions:

  • The developed electrochemical immunosensor effectively enables simultaneous detection of HIgG and RIgG.
  • The strategy avoids cross-talk and enzymatic steps, offering a promising alternative for clinical applications.
  • This method highlights the potential of nanotag-based electrochemical immunosensing for multiplexed biomarker analysis.