Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

ELISA assay optimization using hyperbolic regression.

G M Studnicka¹

¹XOMA Corporation, Santa Monica, CA 90404-9954.

Computer Applications in the Biosciences : CABIOS

|April 1, 1991

Summary

This summary is machine-generated.

Hyperbolic regression offers a novel mathematical method to optimize enzyme-linked immunosorbent assays (ELISA). This technique quantitatively analyzes assay kinetics, improving protein concentration estimation in research and manufacturing.

Related Experiment Videos

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

Human-engineered monoclonal antibodies retain full specific binding activity by preserving non-CDR complementarity-modulating residues.

Protein engineering·1994

Same author

Subcloning for DNA sequencing.

Methods in molecular biology (Clifton, N.J.)·1993

Same author

Expression of foreign proteins in microorganisms.

Biotechnology and applied biochemistry·1988

Same author

Escherichia coli promoter -10 and -35 region homologies correlate with binding and isomerization kinetics.

The Biochemical journal·1988

Same author

Sequence of integrated S-1 homologous DNA in the normal maize mitochondrial genome.

Nucleic acids research·1988

Same author

Hyperbolic regression analysis for kinetics, electrophoresis, ELISA, RIA, Bradford, Lowry, and other applications.

Computer applications in the biosciences : CABIOS·1987

Same journal

DCA: an efficient implementation of the divide-and-conquer approach to simultaneous multiple sequence alignment.

Computer applications in the biosciences : CABIOS·1998

Same journal

Two applications to facilitate the viewing of database search result files on the Macintosh.

Computer applications in the biosciences : CABIOS·1998

Same journal

BioWish: a molecular biology command extension to Tcl/Tk.

Computer applications in the biosciences : CABIOS·1998

Same journal

The Sequence Alerting Server--a new WEB server.

Computer applications in the biosciences : CABIOS·1998

Same journal

A software tool for the analysis of mass spectrometric disulfide mapping experiments.

Computer applications in the biosciences : CABIOS·1998

Same journal

SAMBA: hardware accelerator for biological sequence comparison.

Computer applications in the biosciences : CABIOS·1998

See all related articles

Area of Science:

Biochemistry
Analytical Chemistry
Mathematical Biology

Background:

Enzyme-linked immunosorbent assay (ELISA) is a standard method for quantifying protein concentrations.
Optimizing ELISA sensitivity and dynamic range requires adjusting reagent concentrations and experimental conditions.

Purpose of the Study:

To introduce hyperbolic regression as a novel mathematical technique for ELISA optimization.
To demonstrate the utility of hyperbolic regression for quantitative analysis of assay kinetics.

Main Methods:

Implementing hyperbolic regression equations, programmable on spreadsheets or calculators.
Applying the technique to analyze assay responses to reagent and condition variations.

Main Results:

Hyperbolic regression provides quantitative analysis of ELISA kinetic responses.
The method is adaptable for initial assay optimization, routine concentration estimation, and monitoring reagent degradation.

Conclusions:

Hyperbolic regression is an accessible and versatile tool for enhancing ELISA performance.
This mathematical approach facilitates efficient optimization and reliable quantification in biological assays.