Evidence map›Paper›PMID 30087938›Full record

ArticleACS omega2018

Quantifying Bound and Active Antibodies Conjugated to Gold Nanoparticles: A Comprehensive and Robust Approach To Evaluate Immobilization Chemistry.

Kiran Tripathi, Jeremy D Driskell

Abstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

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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

2 authors.

Kiran TripathiDepartment of Chemistry, Illinois State University, Normal, Illinois 61790, United States.
Jeremy D DriskellDepartment of Chemistry, Illinois State University, Normal, Illinois 61790, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gold nanoparticles (AuNPs) functionalized with antibodies have the potential to improve biosensing technology because of the unique optical properties of AuNPs and the specificity of antibody-antigen interactions. Critical to the development and optimization of these AuNP-enabled sensing technologies is the immobilization of the antibody onto the AuNP. The development of novel immobilization strategies that optimize antibody loading and orientation in an effort to enhance antibody activity, and therefore assay performance, has been the focus of many recent studies. However, few analytical methods exist to accurately quantify the activity of conjugated antibodies and reliably compare different immobilization strategies. Herein, we describe an enzyme-mediated assay to quantify the fraction of the immobilized antibodies that is accessible for antigen binding. Anti-horseradish peroxidase (anti-HRP) antibody is mixed with AuNPs to allow for conjugation, and the unbound, excess antibody is quantified with a modified Bradford assay to determine antibody loading onto AuNPs. The conjugates are then mixed with excess HRP to saturate all accessible binding sites, and bound HRP is quantified based on enzymatic reaction rate. This analytical scheme was used to compare two common immobilization strategies, nonspecific adsorption and protein A-mediated immobilization. We found that the antibody surface coverage is greater for direct adsorption than protein A-mediated binding; however, 23 ± 6% of the directly adsorbed antibodies were active, whereas 91 ± 19% of the antibodies bound through protein A were active. In addition to establishing this method as quantitatively precise and accurate, our results emphasize the need to quantify both antibody loading and antibody activity upon conjugation to gain greater insight into differences in immobilization chemistries and identify optimum protein conjugation strategies to maximize immunoassay performance.

Identifiers

PMID30087938
PMCPMC6072236

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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.