Evidence map›Paper›PMID 25923937›Full record

ReviewSensors (Basel, Switzerland)2015

Development of a HIV-1 Virus Detection System Based on Nanotechnology.

Jin-Ho Lee, Byung-Keun Oh, Jeong-Woo Choi

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Betanodavirus and VER Disease: A 30-year Research Review.Pathogens (Basel, Switzerland) · 2020
    Review
  6. Review
  7. Nanomedicine applications in women's health: state of the art.International journal of nanomedicine · 2018
    Review
  8. Review
  9. Review
  10. Review
  11. 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

3 authors at 1 institution in 1 country.

Jin-Ho LeeDepartment of Chemical & Biomolecular Engineering, Sogang University, #1 Shinsu-Dong, Mapo-Gu, Seoul 121-742, Korea. jino@sogang.ac.kr.
Byung-Keun OhDepartment of Chemical & Biomolecular Engineering, Sogang University, #1 Shinsu-Dong, Mapo-Gu, Seoul 121-742, Korea. bkoh@sogang.ac.kr.
Jeong-Woo ChoiDepartment of Chemical & Biomolecular Engineering, Sogang University, #1 Shinsu-Dong, Mapo-Gu, Seoul 121-742, Korea. jwchoi@sogang.ac.kr.
Sogang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of a sensitive and selective detection system for pathogenic viral agents is essential for medical healthcare from diagnostics to therapeutics. However, conventional detection systems are time consuming, resource-intensive and tedious to perform. Hence, the demand for sensitive and selective detection system for virus are highly increasing. To attain this aim, different aspects and techniques have been applied to develop virus sensor with improved sensitivity and selectivity. Here, among those aspects and techniques, this article reviews HIV virus particle detection systems incorporated with nanotechnology to enhance the sensitivity. This review mainly focused on four different detection system including vertically configured electrical detection based on scanning tunneling microscopy (STM), electrochemical detection based on direct electron transfer in virus, optical detection system based on localized surface plasmon resonance (LSPR) and surface enhanced Raman spectroscopy (SERS) using plasmonic nanoparticle.

Indexed as

Biosensing TechniquesHIV-1NanotechnologySpectrum Analysis, RamanSurface Plasmon ResonanceVirion

Identifiers

PMID25923937
PMCPMC4481885
OpenAlexW1971283689

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.