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 Concept Videos

Enzyme-Linked Immunosorbent Assay01:33

Enzyme-Linked Immunosorbent Assay

16.9K
In 1971, Peter Perlman and Eva Engvall developed an Enzyme-linked immunosorbent assay (ELISA or EIA). ELISA differs from western blot in that the assays are conducted in microtiter plates or in vivo rather than on an absorbent membrane.
There are many different types of ELISAs, but they all involve an antibody molecule whose constant region binds an enzyme, leaving the variable region free to bind its specific antigen.  Enzyme-substrate reaction allows the antigen to be visualized or...
16.9K

You might also read

Related Articles

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

Sort by
Same author

Shrunken Median Location Effect Estimates: An Application to Immuno-Oncology.

Journal of probability and statistics·2026
Same author

Evaluating COVID-19 severity prediction and immune dynamics with NULISAseq: Insights from the IMPACC study.

Journal of immunology (Baltimore, Md. : 1950)·2025
Same author

Comparison of mixed modeling regression methods for the assessment of longitudinal CyTOF® data.

Journal of immunological methods·2025
Same author

Decreased levels and function of dendritic cells in blood and airways predict COVID-19 severity.

Clinical & translational immunology·2025
Same author

Phase II study of novel CXCR2 agonist and Plerixafor for rapid stem cell mobilization in patients with multiple myeloma.

Blood cancer journal·2024
Same author

Cross-Platform Comparison of Highly Sensitive Immunoassays for Inflammatory Markers in a COVID-19 Cohort.

Journal of immunology (Baltimore, Md. : 1950)·2024
Same journal

Decoding gut microbiome alterations in celiac disease: Implications for pathogenesis and treatment.

Autoimmunity reviews·2026
Same journal

Rethinking immunosuppression in limited cutaneous systemic sclerosis. The lcSSc conundrum; pros and cons for a timely immunosuppressive treatment.

Autoimmunity reviews·2026
Same journal

Kidney failure in patients with ANCA-associated vasculitis: A systematic review of outcomes.

Autoimmunity reviews·2026
Same journal

The role of antimicrobial peptides in rheumatoid arthritis: From mucosal predisposition to chronic synovitis.

Autoimmunity reviews·2026
Same journal

The role of short-chain fatty acids as key mediators of gut microbiota - host crosstalk in thyroid diseases.

Autoimmunity reviews·2026
Same journal

Intermittent hydrarthrosis (periodic synoviosis): A narrative review.

Autoimmunity reviews·2026
See all related articles

Related Experiment Video

Updated: Dec 8, 2025

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
09:08

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

9.0K

Generalized mathematical model for immunoassay interference.

Tyson H Holmes1

  • 1The Human Immune Monitoring Center, Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, 299 Campus Drive, Fairchild Science Building, Stanford, CA, United States of America.

Autoimmunity Reviews
|September 17, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a generalized mathematical model for immunoassay interference, building on prior work. The model helps predict how non-target molecules affect diagnostic tests and identifies conditions where interference becomes significant.

Keywords:
Differential equationsImmunoassay interferenceImmunological assay

More Related Videos

Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research
05:25

Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research

Published on: July 14, 2023

1.8K
Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting
08:05

Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting

Published on: December 12, 2011

28.8K

Related Experiment Videos

Last Updated: Dec 8, 2025

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens
09:08

Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

Published on: September 12, 2016

9.0K
Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research
05:25

Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research

Published on: July 14, 2023

1.8K
Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting
08:05

Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting

Published on: December 12, 2011

28.8K

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Immunology

Background:

  • Immunoassay interference by non-target biomolecules can lead to inaccurate clinical diagnostic test results.
  • A review by Jacobs et al. highlighted the issue of antigen excess and interference in immunoassays.

Purpose of the Study:

  • To complement and analytically extend the description of immunoassay interference.
  • To present a generalized mathematical model for understanding immunoassay interference.

Main Methods:

  • Derivation of a generalized mathematical model from a simple mechanistic system of differential equations.
  • Analysis of expressions for peak concentration of bound reporter and maximum target biomolecule concentration causing zero bound reporter.

Main Results:

  • A parsimonious, mechanistic, and generalized model for immunoassay interference was developed.
  • The model provides expressions to predict interference effects, including the point at which interference nullifies the signal.

Conclusions:

  • The generalized mathematical model offers a foundational tool for the analytical study of immunoassay interference.
  • This model can be extended to develop more comprehensive models for specific immunoassay types.