Evidence map›Paper›PMID 35844641›Full record

ArticleFrontiers in chemistry2022

A Combination of Membrane Filtration and Raman-Active DNA Ligand Greatly Enhances Sensitivity of SERS-Based Aptasensors for Influenza A Virus.

Gleb Zhdanov, Ekaterina Nyhrikova, Nadezda Meshcheryakova, Olga Kristavchuk, Assel Akhmetova, Evgeny Andreev, Elena Rudakova, Alexandra Gambaryan, Igor Yaminsky, Andrey Aralov and 2 more

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In one paragraph

Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Gleb ZhdanovChemistry Department, Lomonosov Moscow State University, Moscow, Russia.
Ekaterina NyhrikovaChemistry Department, Lomonosov Moscow State University, Moscow, Russia.
Nadezda MeshcheryakovaChemistry Department, Lomonosov Moscow State University, Moscow, Russia.
Olga KristavchukJoint Institute for Nuclear Research, Dubna, Russia.
Assel AkhmetovaBelozersky Research Institute of Physical Chemical Biology, Lomonosov Moscow State University, Moscow, Russia.
Evgeny AndreevJoint Institute for Nuclear Research, Dubna, Russia.
Elena RudakovaInstitute of Physiologically Active Compounds of Russian Academy of Science, Chernogolovka, Russia.
Alexandra GambaryanChumakov Federal Scientific Centre for Research and Development of Immune and Biological Products RAS, Moscow, Russia.
Igor YaminskyChemistry Department, Lomonosov Moscow State University, Moscow, Russia.
Andrey AralovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.
Vladimir KukushkinInstitute of Solid State Physics, Russian Academy of Science, Chernogolovka, Russia.
Elena ZavyalovaChemistry Department, Lomonosov Moscow State University, Moscow, Russia.
Lomonosov Moscow State University · RUJoint Institute for Nuclear Research · RUInstitute of Bioorganic Chemistry · RUInstitute of Physiologically Active Compounds · RUInstitute of Solid State Physics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors combining the ultrahigh sensitivity of surface-enhanced Raman scattering (SERS) and the specificity of nucleic acid aptamers have recently drawn attention in the detection of respiratory viruses. The most sensitive SERS-based aptasensors allow determining as low as 10

Indexed as

aptamercolloidal nanoparticleinfluenzamembranesensorSERSvirus

Identifiers

PMID35844641
PMCPMC9279936
OpenAlexW4283761701

What OpenQuestion holds

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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.