Evidence map›Paper›PMID 38913420›Full record

ArticleACS sensors2024

Antibody-Driven Assembly of Plasmonic Core-Satellites to Increase the Sensitivity of a SERS Vertical Flow Immunoassay.

Eunice Ebbah, Anthony Amissah, Jun-Hyun Kim, Jeremy D Driskell

Abstract readLetter
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

4 authors.

Eunice EbbahDepartment of Chemistry, Illinois State University, Normal, Illinois 61790, United States.
Anthony AmissahDepartment of Chemistry, Illinois State University, Normal, Illinois 61790, United States.
Jun-Hyun KimDepartment of Chemistry, Illinois State University, Normal, Illinois 61790, United States.ORCID 0000-0001-8145-6269
Jeremy D DriskellDepartment of Chemistry, Illinois State University, Normal, Illinois 61790, United States.ORCID 0000-0001-5082-898X

Funding

Supplemental Funds for SPR InstrumentR15GM146167 · NIGMS · ILLINOIS STATE UNIVERSITY · PI DRISKELL, JEREMY D. · 2022 to 2024
$459k
NIGMS NIH HHS R15 GM146167
6 · The paper itself

Abstract

Here, we describe a SERS-based vertical flow assay as a platform technology suitable for point-of-care (POC) diagnostic testing. A capture substrate is constructed from filter paper embedded with spherical gold nanoparticles (AuNPs) and functionalized with an appropriate capture antibody. The capture substrate is loaded into a filtration device and connected to a syringe to rapidly and repeatedly pass the sample through the sensor for efficient antigen binding. The antigen is then labeled with a SERS-active detection probe. We show that only a few Raman reporter molecules, exclusively located adjacent to the plasmonic capture substrate, generate detectible signals. To maximize the signal from underutilized Raman reporter molecules, we employ a secondary signal enhancing probe that undergoes antibody-directed assembly to form plasmonic core-satellites. This facile enhancement step provides a 3.5-fold increase in the signal and a detection limit of 0.23 ng/mL (1.6 pM) for human IgG. This work highlights the potential to rationally design plasmonic architectures using widely available and reproducible spherical AuNPs to achieve large SERS enhancements for highly sensitive POC diagnostics.

Indexed as

GoldImmunoglobulin GMetal NanoparticlesSpectrum Analysis, RamanAntibodiesHumansImmunoassayLimit of DetectionAntibodiesGoldImmunoglobulin Gcore−satelliteimmunoassayplasmonic couplingpoint-of-caresurface-enhanced Raman spectroscopyvertical flow

Identifiers

PMID38913420
PMCPMC11287735

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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.