Evidence map›Paper›PMID 34423189›Full record

ArticleACS omega2021

Novel Optical Biosensor Based on a Nano-Gold Coated by Schiff Base Doped in Sol/Gel Matrix for Sensitive Screening of Oncomarker CA-125.

Mona N Abou-Omar, Mohamed S Attia, Hisham G Afify, Mohammed A Amin, Rabah Boukherroub, Ekram H Mohamed

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 34 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

6 authors at 4 institutions in 3 countries.

Mona N Abou-OmarDepartment of Chemistry, Faculty of Women for Arts, Science and Education, Ain Shams University, Cairo 13013, Egypt.
Mohamed S AttiaChemistry Department, Faculty of Science, Ain Shams University, Cairo 11566, Egypt.ORCID https://orcid.org/0000-0001-6074-7366
Hisham G AfifyDepartment of Chemistry, Faculty of Women for Arts, Science and Education, Ain Shams University, Cairo 13013, Egypt.
Mohammed A AminDepartment of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.ORCID https://orcid.org/0000-0001-7024-8034
Rabah BoukherroubUniv. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, F-59000 Lille, France.
Ekram H MohamedPharmaceutical Chemistry Department, Faculty of Pharmacy, The British University in Egypt, 11837 El Sherouk City, Cairo, Egypt.
Ain Shams University · EGBritish University in Egypt · EGCentre National de la Recherche Scientifique · FRTaif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The urge for sensitive, facile, minimally invasive, and fast detection method of CA-125, a significant and crucial biomarker in ovarian malignancy, is currently substantial. This paper describes the detailed construction and characterization of a newly designed optical nano-biosensor to detect CA-125 accurately and sensitively. The fabricated sensor consists of a nano-gold thin film doped into a matrix of sol-gel, exhibiting a centered fluorescence band at 423 nm when excited at 340 nm. The quantification of CA-125 relies on its quenching ability of this fluorescence signal. The sensor was challenged to evaluate its sensitivity and specificity in detecting CA-125 present in samples collected from ovarian cancer diagnosed patients and compared to samples from healthy women as a control. Our findings revealed that the developed biosensor had a sensitivity of 97.35% and a specificity of 94.29%. Additionally, a wide linearity range over 2.0-127.0 U mL

Identifiers

PMID34423189
PMCPMC8374908
OpenAlexW3188185106

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.