Evidence map›Paper›PMID 26342315›Full record

ArticleAnalytical and bioanalytical chemistry2015

Theoretical limitations of quantification for noncompetitive sandwich immunoassays.

Christine F Woolley, Mark A Hayes, Prasun Mahanti, S Douglass Gilman, Tom Taylor

Open access · greenAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  5. Single-Cell Proteomics.Trends in biochemical sciences · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Christine F WoolleyDepartment of Chemistry and Biochemistry, Arizona State University, Main Campus, P. O. Box 871604, Tempe, AZ, 85287-1604, USA.
Mark A HayesDepartment of Chemistry and Biochemistry, Arizona State University, Main Campus, P. O. Box 871604, Tempe, AZ, 85287-1604, USA. MHayes@asu.edu.
Prasun MahantiSchool of Earth and Space Exploration, Arizona State University, 781 S Terrace Rd, Tempe, AZ, 85281, USA.
S Douglass GilmanDepartment of Chemistry, Louisiana State University, 232 Choppin Hall, Baton Rouge, LA, 70803, USA.
Tom TaylorDepartment of Mathematics and Statistical Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Arizona State University · USLouisiana State University · US

Funding

PLATFORM FOR ISOLATION AND CONCENTRATION OF BIOMARKERSR21EB010191 · NIBIB · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HAYES, MARK A · 2010 to 2011
$407k
NIBIB NIH HHS 5R21EB010191-02NIBIB NIH HHS R21 EB010191
6 · The paper itself

Abstract

Immunoassays exploit the highly selective interaction between antibodies and antigens to provide a vital method for biomolecule detection at low concentrations. Developers and practitioners of immunoassays have long known that non-specific binding often restricts immunoassay limits of quantification (LOQs). Aside from non-specific binding, most efforts by analytical chemists to reduce the LOQ for these techniques have focused on improving the signal amplification methods and minimizing the limitations of the detection system. However, with detection technology now capable of sensing single-fluorescence molecules, this approach is unlikely to lead to dramatic improvements in the future. Here, fundamental interactions based on the law of mass action are analytically connected to signal generation, replacing the four- and five-parameter fittings commercially used to approximate sigmoidal immunoassay curves and allowing quantitative consideration of non-specific binding and statistical limitations in order to understand the ultimate detection capabilities of immunoassays. The restrictions imposed on limits of quantification by instrumental noise, non-specific binding, and counting statistics are discussed based on equilibrium relations for a sandwich immunoassay. Understanding the maximal capabilities of immunoassays for each of these regimes can greatly assist in the development and evaluation of immunoassay platforms. While many studies suggest that single molecule detection is possible through immunoassay techniques, here, it is demonstrated that the fundamental limit of quantification (precision of 10 % or better) for an immunoassay is approximately 131 molecules and this limit is based on fundamental and unavoidable statistical limitations.

Indexed as

Limit of DetectionAntibodiesAntigensHumansImmunoassayMultivariate AnalysisProtein BindingSignal-To-Noise RatioAntibodiesAntigensDetection limitImmunoassayMolecular shot noiseSingle molecule

Identifiers

PMID26342315
PMCPMC4636921
OpenAlexW1763318355

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.