Critical Comparison between Large and Mini Vertical Flow Immunoassay Platforms for Yersinia Pestis Detection

Jasmine Pramila Devadhasan1, Jian Gu1,2, Peng Chen1

  • 1Center for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona 85004, United States.

Insights

A new paper-based assay detects the plague biomarker LcrV protein. This rapid, sensitive vertical flow immunoassay (VFI) shows promise for early plague diagnosis at the point-of-care.

Area of Science:

  • Biotechnology
  • Microbiology
  • Immunology

Background:

  • * Yersinia pestis causes plague, a disease with high fatality if diagnosis is delayed.
  • * Rapid, sensitive, specific, and cost-effective diagnostic methods are crucial.
  • * The Yersinia pestis low calcium response V (LcrV) protein is a potential plague biomarker.

Purpose of the Study:

  • * To develop a highly sensitive, paper-based vertical flow immunoassay (VFI) for Yersinia pestis LcrV protein detection.
  • * To evaluate the performance of miniaturized VFI platforms for plague diagnosis.
  • * To compare VFI sensitivity with traditional lateral flow immunoassay (LFI) for point-of-care applications.

Main Methods:

  • * An antigen-capture assay utilizing monoclonal antibodies to detect LcrV protein via a colorimetric approach.
  • * Development and testing of two VFI platform sizes: "large VFI" and "mini VFI."
  • * Comparative analysis of VFI and LFI platforms, including limit of detection (LOD) determination.

Main Results:

  • * The mini VFI achieved an analytical sensitivity (LOD) of approximately 0.025 ng/mL.
  • * Mini VFI sensitivity was 10 times better than large VFI and 80 times better than standard LFI.
  • * Automated image analysis software was developed for potential smartphone integration.

Conclusions:

  • * The VFI platform demonstrates high sensitivity for LcrV detection, suitable for early plague diagnosis.
  • * Miniaturized VFI offers improved sensitivity for point-of-care diagnostics.
  • * The VFI technology has potential for detecting various biomarkers beyond LcrV.