Evidence map›Paper›PMID 37514587›Full record

ReviewSensors (Basel, Switzerland)2023

Electroacoustic Biosensor Systems for Evaluating Antibiotic Action on Microbial Cells.

Olga I Guliy, Boris D Zaitsev, Irina A Borodina

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. 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
1.0field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  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

3 authors at 2 institutions in 1 country.

Olga I GuliyInstitute of Biochemistry and Physiology of Plants and Microorganisms-Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences (IBPPM RAS), Saratov 410049, Russia.ORCID 0000-0002-0541-0020
Boris D ZaitsevKotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Saratov Branch, Saratov 410019, Russia.ORCID 0000-0002-1859-0673
Irina A BorodinaKotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Saratov Branch, Saratov 410019, Russia.ORCID 0000-0002-4136-7517
Institute of Radio-Engineering and Electronics · RUInstitute of Biochemistry and Physiology of Plants and Microorganisms · RU

Funding

Russian Science Foundation 23-22-00134.
6 · The paper itself

Abstract

Antibiotics are widely used to treat infectious diseases. This leads to the presence of antibiotics and their metabolic products in the ecosystem, especially in aquatic environments. In many countries, the growth of pathogen resistance to antibiotics is considered a threat to national security. Therefore, methods for determining the sensitivity/resistance of bacteria to antimicrobial drugs are important. This review discusses the mechanisms of the formation of antibacterial resistance and the various methods and sensor systems available for analyzing antibiotic effects on bacteria. Particular attention is paid to acoustic biosensors with active immobilized layers and to sensors that analyze antibiotics directly in liquids. It is shown that sensors of the second type allow analysis to be done within a short period, which is important for timely treatment.

Indexed as

Anti-Bacterial AgentsBiosensing TechniquesBacteriaDrug Resistance, BacterialEcosystemAnti-Bacterial Agentsacoustic biosensorsacoustic delay linesantibiotic resistance/sensitivitybacterial cellspiezoelectric resonators

Identifiers

PMID37514587
PMCPMC10383298
OpenAlexW4383912476

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.