Evidence map›Paper›PMID 33947112›Full record

ArticleBiosensors2021

Whole Cell Recognition of

Neslihan Idil, Monireh Bakhshpour, Işık Perçin, Bo Mattiasson

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 36 citations in OpenAlex.

  1. Optical Sensors for Bacterial Detection.Sensors (Basel, Switzerland) · 2023
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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

4 authors at 2 institutions in 2 countries.

Neslihan IdilDepartment of Biology, Hacettepe University, 06800 Ankara, Turkey.
Monireh BakhshpourDepartment of Chemistry, Hacettepe University, 06800 Ankara, Turkey.
Işık PerçinDepartment of Biology, Hacettepe University, 06800 Ankara, Turkey.
Bo MattiassonDivision of Biotechnology, Lund University, 22100 Lund, Sweden.
Hacettepe University · TRLund University · SE

Funding

Hacettepe University FHD-2017-15287
6 · The paper itself

Abstract

Over the past few decades, a significant increase in multi-drug-resistant pathogenic microorganisms has been of great concern and directed the research subject to the challenges that the distribution of resistance genes represent. Globally, high levels of multi-drug resistance represent a significant health threat and there is a growing requirement of rapid, accurate, real-time detection which plays a key role in tracking of measures for the infections caused by these bacterial strains. It is also important to reduce transfer of resistance genes to new organisms. The, World Health Organization has informed that millions of deaths have been reported each year recently. To detect the resistant organisms traditional detection approaches face limitations, therefore, newly developed technologies are needed that are suitable to be used in large-scale applications. In the present study, the aim was to design a surface plasmon resonance (SPR) sensor with micro-contact imprinted sensor chips for the detection of

Indexed as

Biosensing TechniquesBiomimeticsHistidineHumansMethacrylatesStaphylococcus aureusSurface Plasmon ResonanceHistidineMethacrylatesN-methacryloyl-L-histidine methyl estermicro-contact imprintingN-methacryloyl-L-histidine methyl esterSPR biosensorStaphylococcus aureus

Identifiers

PMID33947112
PMCPMC8145927
OpenAlexW3159244741

What Socratic 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 Socratic graph.