Evidence map›Paper›PMID 42064562›Full record

ArticleRSC advances2026

Rokhsareh Ebrahimi, Houman Kholafazad Kordasht, Mohammad Hasanzadeh, Nasrin Shadjou

Abstract read
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Rokhsareh EbrahimiAsian Nano-ink (ANI) Company, Tabriz University of Medical Sciences Tabriz Iran.
Houman Kholafazad KordashtNutrition Research Center, Tabriz University of Medical Sciences Tabriz Iran.ORCID https://orcid.org/0000-0002-7919-9272
Mohammad HasanzadehPharmaceutical Analysis Research Center, Pharmaceutical Sciences Institute, Tabriz University of Medical Sciences Tabriz Iran hasanzadehm@tbzmed.ac.ir.ORCID https://orcid.org/0000-0003-4918-1239
Nasrin ShadjouDepartment of Nanotechnology, Faculty of Chemistry, Urmia University Urmia Iran.ORCID https://orcid.org/0000-0001-5961-3686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethylenediamine (EDA), a primary biomarker of meat spoilage, has gained considerable attention for its potential uses in the monitoring of meat freshness. Standard analytical approaches have been widely applied for the detection of EDA, meaning that more rapid and convenient detection methods are highly desirable. Here, we introduce an innovative paper-based electrochemical sensor for label-free detection of EDA. To implement a three-electrode system on the surface of paper, silver conductive nano-ink (Ag nano-ink) was drawn by direct pen-on-paper technology. The structure, morphology, and elemental composition of the Ag nano-ink were analyzed using field-emission scanning electron microscopy and energy-dispersive spectroscopy. The presence of the target in the sensing zone changed the electrochemical signal, which was measured using square wave voltammetry. The results demonstrated that the developed sensor detected the target in a linear range from 10 to 1000 µM with a low limit of quantification of 10 µM. Interestingly, the prepared sensing approach demonstrated a strong ability to determine EDA levels in spoiled beef samples. The selectivity of the designed platform was evaluated by assessing the interference of various amino acids. In addition, the prepared paper-based sensor demonstrated excellent stability for four days. We hope that using Ag nano-ink in a novel electrochemical paper-based sensor for recognizing EDA can open a new window for detecting other biogenic amines in the future.

Identifiers

PMID42064562
PMCPMC13126652

What OpenQuestion holds

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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.