Evidence map›Paper›PMID 20143808›Full record

ArticleJournal of the American Chemical Society2010

High-resolution spectral analysis of individual SERS-active nanoparticles in flow.

Gregory Goddard, Leif O Brown, Robb Habbersett, Christina I Brady, John C Martin, Steven W Graves, James P Freyer, Stephen K Doorn

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2010. 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
4.4field-weighted citation impact, top 5% 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, 62 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Advantages of full spectrum flow cytometry.Journal of biomedical optics · 2013
    Article
  6. Article
  7. Dynamic Imaging Analysis of SERS-Active Nanoparticle Clusters in Suspension.The journal of physical chemistry. C, Nanomaterials and interfaces · 2010
    Article
  8. Optimally designed nanolayered metal-dielectric particles as probes for massively multiplexed and ultrasensitive molecular assays.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
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

8 authors at 2 institutions in 1 country.

Gregory GoddardNational Flow Cytometry Resource, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
Leif O Brown
Robb Habbersett
Christina I Brady
John C Martin
Steven W Graves
James P Freyer
Stephen K Doorn
Los Alamos National Laboratory · USUniversity of New Mexico · US

Funding

WORKSHOP AT INTERNATIONAL SOCIETY FOR ANALYTICAL CYTOLOGYP41RR001315 · NCRR · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI DOORN, JONATHAN A · 1985 to 2011
$19.2M
NCRR NIH HHS P41 RR001315NCRR NIH HHS RR-01315
6 · The paper itself

Abstract

Nanoparticle spectroscopic tags based on surface enhanced Raman scattering (SERS) are playing an increasingly important role in bioassay and imaging applications. The ability to rapidly characterize large populations of such tags spectroscopically in a high-throughput flow-based platform will open new areas for their application and provide new tools for advancing their development. We demonstrate here a high-resolution spectral flow cytometer capable of acquiring Raman spectra of individual SERS-tags at flow rates of hundreds of particles per second, while maintaining the spectral resolution required to make full use of the detailed information encoded in the Raman signature for advanced multiplexing needs. The approach allows multiple optical parameters to be acquired simultaneously over thousands of individual nanoparticle tags. Characteristics such as tag size, brightness, and spectral uniformity are correlated on a per-particle basis. The tags evaluated here display highly uniform spectral signatures, but with greater variability in brightness. Subpopulations in the SERS response, not apparent in ensemble measurements, are also shown to exist. Relating tag variability to synthesis parameters makes flow-based spectral characterization a powerful tool for advancing particle development through its ability to provide rapid feedback on strategies aimed at constraining desired tag properties. Evidence for single-tag signal saturation at high excitation power densities is also shown, suggesting a role for high-throughput investigation of fundamental properties of the SERS tags as well.

Indexed as

Flow CytometryHigh-Throughput Screening AssaysSpectrum Analysis, RamanNanoparticles

Identifiers

PMID20143808
PMCPMC2861152
OpenAlexW2021862911

What OpenQuestion holds

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Read underepoch 390

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.