Evidence map›Paper›PMID 35049645›Full record

ArticleBiosensors2021

Novel SH-SAW Biosensors for Ultra-Fast Recognition of Growth Factors.

Daniel Matatagui, Ágatha Bastida, M Carmen Horrillo

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-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

9 citing papers in PubMed, 14 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

3 authors at 1 institution in 1 country.

Daniel MatataguiTecnología de Sensores Avanzados (SENSAVAN), Instituto de Tecnologías Físicas y de la Información (ITEFI), Consejo Superior de Investigaciones Científicas (CSIC), 28006 Madrid, Spain.
Ágatha BastidaInstituto de Química Orgánica General (IQOG), Consejo Superior de Investigaciones Científicas (CSIC), 28006 Madrid, Spain.ORCID 0000-0002-5141-9595
M Carmen HorrilloTecnología de Sensores Avanzados (SENSAVAN), Instituto de Tecnologías Físicas y de la Información (ITEFI), Consejo Superior de Investigaciones Científicas (CSIC), 28006 Madrid, Spain.ORCID 0000-0003-2554-3119
Consejo Superior de Investigaciones Científicas · ES

Funding

Ministerio Ciencia y RTI-2018-095856-B-C22Ministerio de Ciencia, Innovacion y Universidades Ministerio de Ciencia, Innovacion y UniversidadesMinisterio de Ciencia y Tecnología PID2019-105337RB-C21
6 · The paper itself

Abstract

In this study, we investigated a label-free time efficient biosensor to recognize growth factors (GF) in real time, which are of gran interesting in the regulation of cell division and tissue proliferation. The sensor is based on a system of shear horizontal surface acoustic wave (SH-SAW) immunosensor combined with a microfluidic chip, which detects GF samples in a dynamic mode. In order to prove this method, to our knowledge not previously used for this type of compounds, two different GFs were tested by two immunoreactions: neurotrophin-3 and fibroblast growth factor-2 using its polyclonal antibodies. GF detection was conducted via an enhanced sequential workflow to improve total test time of the immunoassay, which shows that this type of biosensor is a very promising method for ultra-fast recognition of these biomolecules due to its great advantages: portability, simplicity of use, reusability, low cost, and detection within a relatively short period of time. Finally, the biosensor is able to detect FGF-2 growth factor in a concentration wide range, from 1-25 µg/mL, for a total test time of ~15 min with a LOD of 130 ng/mL.

Indexed as

Biosensing TechniquesAcousticsImmunoassayIntercellular Signaling Peptides and ProteinsSoundIntercellular Signaling Peptides and Proteinsbiosensorsfast detectiongrowth factormicrofluidicsSH-SAW

Identifiers

PMID35049645
PMCPMC8773814
OpenAlexW4205117014

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.