Evidence map›Paper›PMID 36505681›Full record

ArticleRSC advances2022

Fluorescent garlic-capped Ag nanoparticles as dual sensors for the detection of acetone and acrylamide.

Marwa Ahmed El-Naka, A El-Dissouky, G Y Ali, Shaker Ebrahim, Azza Shokry

Abstract read
In one paragraph

Article in RSC advances, 2022. 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. Article
  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

5 authors.

Marwa Ahmed El-NakaChemistry Department, Faculty of Science, Alexandria University P.O. Box 426, Ibrahimia 21321 Alexandria Egypt Marwa.ElNaka_PG@alexu.edu.eg.ORCID https://orcid.org/0000-0002-1393-7367
A El-DissoukyChemistry Department, Faculty of Science, Alexandria University P.O. Box 426, Ibrahimia 21321 Alexandria Egypt Marwa.ElNaka_PG@alexu.edu.eg.
G Y AliChemistry Department, Faculty of Science, Alexandria University P.O. Box 426, Ibrahimia 21321 Alexandria Egypt Marwa.ElNaka_PG@alexu.edu.eg.
Shaker EbrahimDepartment of Materials Science, Institute of Graduate Studies and Research, Alexandria University P.O. Box 832 Alexandria Egypt.
Azza ShokryDepartment of Materials Science, Institute of Graduate Studies and Research, Alexandria University P.O. Box 832 Alexandria Egypt.ORCID https://orcid.org/0000-0001-6625-2874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to protect human health from the adverse impacts of acrylamide and acetone, simple analytical processes are required to detect low concentrations of acrylamide and acetone. Dual functional garlic-capped silver nanoparticles (G-Ag NPs) have been used as fluorescent sensors for acrylamide and acetone. This technique depends on the quenching of the photoluminescence (PL) intensity of G-Ag NPs with the interaction of either acrylamide or acetone. This fluorescent probe presented high selectivity toward acrylamide with a wide linear response of 0.01-6 mM with a limit of detection (LOD) of 2.9 μM. Moreover, this probe also acted as a selective and sensitive fluorescent sensor for the detection of acetone in the range of 0.1-17 mM with LOD of 55 μM. The applicability of G-Ag NPs as a proposed sensor for acrylamide was evaluated using a potato chips sample with a recovery percentage of 102.4%. Acetone concentration is also quantified in human urine samples and the recoveries ranged from 98.8 to 101.7%. Repeatability and reproducibility studies for acrylamide and acetone offered relative standard deviation (RSD) of 0.9% and 1.5%, and 0.77% and 1.1%, respectively.

Identifiers

PMID36505681
PMCPMC9703298

What OpenQuestion holds

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Registered trials

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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.