Evidence map›Paper›PMID 36364630›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Lithographic SERS Aptasensor for Ultrasensitive Detection of SARS-CoV-2 in Biological Fluids.

Vladimir Kukushkin, Oganes Ambartsumyan, Anna Astrakhantseva, Vladimir Gushchin, Alexandra Nikonova, Anastasia Dorofeeva, Vitaly Zverev, Alexandra Gambaryan, Daria Tikhonova, Timofei Sovetnikov and 3 more

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Vladimir KukushkinOsipyan Institute of Solid State Physics of Russian Academy of Science, 142432 Chernogolovka, Russia.ORCID 0000-0001-6731-9508
Oganes AmbartsumyanDepartment of Microbiology, Virology and Immunology, I.M. Sechenov First Moscow State Medical University, 125009 Moscow, Russia.
Anna AstrakhantsevaOsipyan Institute of Solid State Physics of Russian Academy of Science, 142432 Chernogolovka, Russia.
Vladimir GushchinN. F. Gamaleya Federal Research Center for Epidemiology & Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-9397-3762
Alexandra NikonovaMechnikov Research Institute of Vaccines and Sera, 105064 Moscow, Russia.
Anastasia DorofeevaMechnikov Research Institute of Vaccines and Sera, 105064 Moscow, Russia.
Vitaly ZverevDepartment of Microbiology, Virology and Immunology, I.M. Sechenov First Moscow State Medical University, 125009 Moscow, Russia.
Alexandra GambaryanChumakov Federal Scientific Center for Research and Development of Immune and Biological Products RAS, 108819 Moscow, Russia.ORCID 0000-0002-1892-0548
Daria TikhonovaOsipyan Institute of Solid State Physics of Russian Academy of Science, 142432 Chernogolovka, Russia.
Timofei SovetnikovFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0001-6541-8932
Assel AkhmetovaFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Igor YaminskyFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Elena ZavyalovaChemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0001-5260-1973

Funding

Russian Science Foundation 19-72-30003
6 · The paper itself

Abstract

In this paper, we propose a technology for the rapid and sensitive detection of the whole viral particles of SARS-CoV-2 using double-labeled DNA aptamers as recognition elements together with the SERS method for detecting the optical response. We report on the development of a SERS-aptasensor based on a reproducible lithographic SERS substrate, featuring the combination of high speed, specificity, and ultrasensitive quantitative detection of SARS-CoV-2 virions. The sensor makes it possible to identify SARS-CoV-2 in very low concentrations (the limit of detection was 100 copies/mL), demonstrating a sensitivity level comparable to the existing diagnostic golden standard-the reverse transcription polymerase chain reaction.

Indexed as

aptamerbiosensorCOVID-19lithographySARS-CoV-2SERS

Identifiers

PMID36364630
PMCPMC9659100

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.