Evidence map›Paper›PMID 37687945›Full record

ArticleSensors (Basel, Switzerland)2023

Investigation of Limitations in the Detection of Antibody + Antigen Complexes Using the Silicon-on-Insulator Field-Effect Transistor Biosensor.

Vladimir Generalov, Anastasia Cheremiskina, Alexander Glukhov, Victoria Grabezhova, Margarita Kruchinina, Alexander Safatov

Abstract read
In one paragraph

Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Vladimir GeneralovFederal State Research Institution State Research Center of Virology and Biotechnology "Vector", 630559 Koltsovo, Russia.ORCID 0000-0001-7544-187X
Anastasia CheremiskinaFederal State Research Institution State Research Center of Virology and Biotechnology "Vector", 630559 Koltsovo, Russia.ORCID 0000-0001-9441-6450
Alexander GlukhovDesign Center of Bio-Microelectronic Technology Vega, 630082 Novosibirsk, Russia.
Victoria GrabezhovaDesign Center of Bio-Microelectronic Technology Vega, 630082 Novosibirsk, Russia.
Margarita KruchininaResearch Institute of Internal and Preventive Medicine-Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630089 Novosibirsk, Russia.ORCID 0000-0003-0077-3823
Alexander SafatovFederal State Research Institution State Research Center of Virology and Biotechnology "Vector", 630559 Koltsovo, Russia.ORCID 0000-0002-9161-6438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SOI-FET biosensor (silicon-on-insulator field-effect transistor) for virus detection is a promising device in the fields of medicine, virology, biotechnology, and the environment. However, the applications of modern biosensors face numerous problems and require improvement. Some of these problems can be attributed to sensor design, while others can be attributed to technological limitations. The aim of this work is to conduct a theoretical investigation of the "antibody + antigen" complex (AB + AG) detection processes of a SOI-FET biosensor, which may also solve some of the aforementioned problems. Our investigation concentrates on the analysis of the probability of AB + AG complex detection and evaluation. Poisson probability density distribution was used to estimate the probability of the adsorption of the target molecules on the biosensor's surface and, consequently, to obtain correct detection results. Many implicit and unexpected causes of error detection have been identified for AB + AG complexes using SOI-FET biosensors. We showed that accuracy and time of detection depend on the number of SOI-FET biosensors on a crystal.

Indexed as

BiotechnologySiliconAdsorptionProbabilitySiliconbiosensordetectionparticlesprobability densitySOI-FETtransistorvirus

Identifiers

PMID37687945
PMCPMC10490761

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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.