Evidence map›Paper›PMID 36551141›Full record

ArticleBiosensors2022

Comparison of Biosensing Methods Based on Different Isothermal Amplification Strategies: A Case Study with

Aleksandr V Ivanov, Irina V Safenkova, Natalia V Drenova, Anatoly V Zherdev, Boris B Dzantiev

Abstract read
In one paragraph

Article in Biosensors, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. A rapid and accurate method forFrontiers in cellular and infection microbiology · 2025
    Article
  5. Article
  6. Single-Cell Detection ofSensors (Basel, Switzerland) · 2023
    Article
  7. 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

5 authors.

Aleksandr V IvanovA.N. Bach Institute of Biochemistry, Research Centre of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia.
Irina V SafenkovaA.N. Bach Institute of Biochemistry, Research Centre of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia.ORCID 0000-0002-3621-4321
Natalia V DrenovaAll-Russian Plant Quarantine Centre, Pogranichnaya Street 32, Bykovo, 140150 Ramenskoe, Moscow Region, Russia.
Anatoly V ZherdevA.N. Bach Institute of Biochemistry, Research Centre of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia.ORCID 0000-0003-3008-2839
Boris B DzantievA.N. Bach Institute of Biochemistry, Research Centre of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia.ORCID 0000-0003-4008-4918

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2022-318
6 · The paper itself

Abstract

Isothermal amplifications allow for the highly sensitive detection of nucleic acids, bypassing the use of instrumental thermal cycling. This work aimed to carry out an experimental comparison of the four most promising techniques: recombinase polymerase amplification (RPA) and loop-mediated isothermal amplification (LAMP) coupled with lateral flow test or coupled with additional amplification based on CRISPR/Cas12a resulting from the fluorescence of the Cas12a-cleaved probe. To compare the four amplification techniques, we chose the bacterial phytopathogen

Indexed as

Erwinia amylovoraNucleic AcidsDNA PrimersNucleic Acid Amplification TechniquesSensitivity and SpecificityDNA PrimersNucleic AcidsCRISPR/Casfire blighthighly sensitive detectionisothermal amplificationLAMPlateral flow testnucleic acidsRPA

Identifiers

PMID36551141
PMCPMC9776058

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.