Evidence map›Paper›PMID 38040925›Full record

ArticleMikrochimica acta2023

Aptasensor for ovarian cancer biomarker detection using nanostructured gold electrodes.

Masood Amirabadizadeh, Hossein Siampour, Sara Abbasian, Maryam Nikkhah, Ahmad Moshaii

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Article in Mikrochimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Masood AmirabadizadehDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, P.O. Box, Tehran, 14115-175, Iran.
Hossein SiampourDepartment of Physics, Faculty of Basic Sciences, Tarbiat Modares University, P.O. Box, Tehran, 14115-175, Iran.
Sara AbbasianDepartment of Physics, Faculty of Basic Sciences, Tarbiat Modares University, P.O. Box, Tehran, 14115-175, Iran.
Maryam NikkhahDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, P.O. Box, Tehran, 14115-175, Iran. m_nikkhah@modares.ac.ir.ORCID http://orcid.org/0000-0003-0744-2699
Ahmad MoshaiiDepartment of Physics, Faculty of Basic Sciences, Tarbiat Modares University, P.O. Box, Tehran, 14115-175, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of an electrochemical aptasensor for the detection of CA125 as an ovarian cancer biomarker using gold nanostructures (GNs) modified electrodes is reported. The GNs were deposited on the surface of fluorine-doped tin oxide electrodes using a simple electrochemical method and the effects of pH and surfactant concentration on the topography and electrochemical properties of the resulting GNs modified electrodes were investigated. The electrodes were characterized using field-emission scanning electron microscopy and X-ray diffraction, cyclic voltammetry, and electrochemical impedance spectroscopy. The best electrode, in terms of the uniformity of the deposited GNs and the increase in electroactive surface area, was used for development of an aptasensor for CA125 tumor marker detection in human serum. Signal amplification was done by using aptamer-conjugated gold nanorods resulting in the detection limit of 2.6 U/ml and a linear range of 10 to 800 U/ml. The results showed that without the need for expensive antibodies, the developed aptasensor could specifically measure the clinically relevant concentrations of the tumor marker in human serum.

Indexed as

Aptamers, NucleotideMetal NanoparticlesNanostructuresNeoplasmsBiomarkers, TumorElectrodesGoldHumansAptamers, NucleotideBiomarkers, TumorGoldCA125Cyclic voltammetryElectrochemical aptasensorElectrochemical impedance spectroscopyGold nanostructureModified electrodeTumor marker

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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.