Evidence map›Paper›PMID 24897935›Full record

ArticleThe Analyst2014

Targeted highly sensitive detection/eradication of multi-drug resistant Salmonella DT104 through gold nanoparticle-SWCNT bioconjugated nanohybrids.

Yunfeng Lin, Ashton T Hamme Ii

Abstract read
In one paragraph

Article in The Analyst, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Nanotechnology for Targeted Detection and Removal of Bacteria: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  3. Recent Advances in the Detection of Antibiotic and Multi-Drug ResistantInternational journal of molecular sciences · 2021
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

Yunfeng LinDepartment of Chemistry and Biochemistry, Jackson State University, Jackson, MS 39217, USA. ashton.t.hamme@jsums.edu.
Ashton T Hamme Ii
Jackson State University · US

Funding

TRANSCRIPTOMICS OF GIARDIA LAMBLIAG12RR013459 · NCRR · JACKSON STATE UNIVERSITY · PI GAO, RUOMEI · 1998 to 2011
$18.0M
RCMI-Center for Environmental HealthG12MD007581 · NIMHD · JACKSON STATE UNIVERSITY · PI TCHOUNWOU, PAUL B. · 2012 to 2017
$11.2M
NCRR NIH HHS G12 RR013459NCRR NIH HHS G12RR013459NIMHD NIH HHS G12 MD007581NIMHD NIH HHS G12MD007581
6 · The paper itself

Abstract

Monoclonal antibody-conjugated sphere-shaped gold nanoparticles were combined with single-walled carbon nanotubes (SWCNTs) to create a nanohybrid system to selectively detect and eradicate multiple drug resistant Salmonella (MDRS) typhimurium DT104 bacteria. The Raman signal intensity from Rhodamine 6G (Rh6G) modified monoclonal AC04 antibody SWCNTs-gold nanoparticle (SWCNT-GNPs) hybrid provided a SERS enhancement by several orders of magnitude to detect the MDRS bacteria over the GNP system. A targeted photothermolysis experiment using 670 nm light at 2 W cm(-2) for 15 min, resulted in selective and irreparable damage to more than 99% Salmonella DT104 at the concentration of 10(5) CFU mL(-1). In comparison to solely SWCNTs or GNPs, our SWCNT-GNPs nanohybrids have also shown a better photothermal efficiency.

Indexed as

Antibodies, MonoclonalGoldHumansMetal NanoparticlesNanotubes, CarbonPhotolysisPhototherapyRhodaminesSalmonella InfectionsSalmonella typhimuriumSpectrum Analysis, RamanAntibodies, MonoclonalGoldNanotubes, Carbonrhodamine 6GRhodamines

Identifiers

PMID24897935
PMCPMC4078871
OpenAlexW2097480818

What OpenQuestion holds

Textmetadata
LicenceTDM
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.