Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A membrane-based displacement flow immunoassay

S Y Rabbany1, W A Marganski, A W Kusterbeck

  • 1Bioengineering Program, Hofstra University, Hempstead, NY 11549-1130, USA. eggsyr@hofstra.edu

Biosensors & Bioelectronics
|December 5, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Patterned planar array immunosensor for multianalyte detection.

Journal of biomedical optics·2012
Same author

Automated processing integrated with a microflow cytometer for pathogen detection in clinical matrices.

Biosensors & bioelectronics·2012
Same author

A computational reaction-diffusion model for the analysis of transport-limited kinetics.

Analytical chemistry·2011
Same author

Array biosensor: optical and fluidics systems.

Biomedical microdevices·2005
Same author

A portable array biosensor for detecting multiple analytes in complex samples.

Microbial ecology·2004
Same author

Fluorescence-based array biosensors for detection of biohazards.

Journal of applied microbiology·2003
Same journal

Integration of electrochemical sensors in organ-on-a-chip microfluidic platforms: Advances and perspectives.

Biosensors & bioelectronics·2026
Same journal

DNN-PURE: A deep neural network approach to paper-based urea sensing.

Biosensors & bioelectronics·2026
Same journal

Rationally architected MOF-derived Co<sub>3</sub>O<sub>4</sub>@NiMn-LDH hollow heterostructure-based sensor array empowering sensitive detection and discrimination of neurological biomarkers.

Biosensors & bioelectronics·2026
Same journal

Four-in-one multifunctional CoCu-NC@AuPt nanozyme integrated M13 phage-displayed nanobody based multimodal lateral flow immunoassay for bovine lactoferrin detection.

Biosensors & bioelectronics·2026
Same journal

A novel capillary-driven dual-mode imaging flow cytometry system for malaria parasite detection and quantification.

Biosensors & bioelectronics·2026
Same journal

Liver-targeted alkaline phosphatase-activatable fluorescent probe for imaging liver fibrosis and screening anti-fibrotic natural products.

Biosensors & bioelectronics·2026
See all related articles

This study demonstrates a continuous flow immunoassay for detecting explosives like 2,4,6-trinitrotoluene (TNT) at nanomolar levels. Lower flow rates enhance detection sensitivity by increasing analyte-antibody interaction time.

Area of Science:

  • Analytical Chemistry
  • Biotechnology
  • Materials Science

Background:

  • Continuous flow systems offer advantages for rapid analyte detection.
  • Immunoassays are crucial for sensitive detection of various compounds, including explosives.
  • Optimizing assay kinetics is essential for improving detection limits and reliability.

Purpose of the Study:

  • To demonstrate a membrane-based continuous flow displacement immunoassay for explosives detection.
  • To characterize the kinetics of the immunoassay system at different flow rates.
  • To investigate the effect of antibody concentration and flow rate on assay performance.

Main Methods:

  • Immobilization of 2,4,6-trinitrotoluene (TNT) antibodies onto a porous membrane via covalent binding.

Related Experiment Videos

  • Saturation of antibody binding sites with labeled antigen.
  • Introduction of target analyte in a continuous flow system and monitoring of displaced labeled antigen using a fluorometer.
  • Kinetic characterization at varying flow rates (2.0, 1.0, 0.50, 0.25 mL/min) and antibody concentrations.

    • Main Results:

    • The assay successfully detected nanomolar quantities of explosives.
    • Signal intensity was independent of antibody concentration at 1.0 mL/min.
    • Signal intensity was proportional to antibody concentration at 0.25 mL/min.
    • Lower flow rates resulted in higher signal intensities due to increased interaction time.

    Conclusions:

    • Membrane-based continuous flow displacement immunoassays are effective for sensitive explosives detection.
    • Assay performance, particularly signal intensity, is significantly influenced by flow rate and analyte interaction time.
    • Optimized flow rates can enhance the sensitivity and reliability of continuous flow immunoassays for explosive detection.