Evidence map›Paper›PMID 38752162›Full record

ArticleRSC advances2024

Identification of acetaldehyde based on plasmonic patterns of a gold nanostructure conjugated with chromophore and H

Fatemeh Farshchi, Arezoo Saadati, Farnaz Bahavarnia, Mohammad Hasanzadeh, Nasrin Shadjou

Abstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fatemeh FarshchiFundação Oswaldo Cruz, Instituto Oswaldo Cruz, Laboratório de Biologia Molecular e Doenças Endêmicas Avenida Brasil No 4365-Manguinhos Rio de Janeiro 21040-900 Brazil.
Arezoo SaadatiCentral European Institute of Technology, Brno University of Technology Brno CZ-612 00 Czech Republic.
Farnaz BahavarniaNutrition Research Center, Tabriz University of Medical Sciences Tabriz Iran.
Mohammad HasanzadehPharmaceutical Analysis Research Center, 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

Acetaldehyde, a prevalent carbonyl compound in fermented foods, poses challenges in various applications due to its reactivity. This study addresses the need for efficient acetaldehyde detection methods across biotechnological, environmental, pharmaceutical, and food sectors. Herein, we present a novel colorimetric/UV spectrophotometric approach utilizing gold nanoparticles (AuNPs), particularly gold nano-flowers (AuNFs), for sensitive acetaldehyde identification. The method exhibits a notable sensitivity, detecting acetaldehyde at concentrations as low as 0.1 μM. The mechanism involves the interaction of acetaldehyde molecules with AuNFs, leading to a significant change in the absorbance spectrum, which serves as the basis for detection. Moreover, its applicability extends to human biofluids, notably urine samples. Integration with a cost-effective one-drop microfluidic colorimetric device (OD-μPCD) enables the development of an affordable test strip (CATS). This semi-analytical device, employing a multichannel OD-μPCD, facilitates real-time analysis of acetaldehyde in human samples. Our findings demonstrate the pioneering utilization of AuNPs for selective and sensitive acetaldehyde detection, promising advancements in environmental and occupational safety standards, and laying a foundation for enhanced detection and monitoring of related volatile organic compounds (VOCs).

Identifiers

PMID38752162
PMCPMC11094588

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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.