Evidence map›Paper›PMID 41531830›Full record

ArticleACS applied nano materials2024

Rapid Solution-Based SERS Detection of Pesticides Using Graphene Oxide-Coated Silver-Gold Nanostars.

Supriya Atta, Tamer Sharaf, Tuan Vo-Dinh

Abstract read
In one paragraph

Article in ACS applied nano materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

3 authors.

Supriya AttaFitzpatrick Institute for Photonics, Ain Shams University, Cairo, Egypt.ORCID 0000-0001-5489-268X
Tamer SharafFitzpatrick Institute for Photonics, Ain Shams University, Cairo, Egypt.ORCID 0000-0002-9976-4240
Tuan Vo-DinhFitzpatrick Institute for Photonics, Ain Shams University, Cairo, Egypt.ORCID 0000-0003-3701-3326

Funding

Integrated Acoustofluidic Plasmonic Molecular Diagnostic System for Detecting MicroRNA BiomarkersR01GM135486 · NIGMS · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2020 to 2023
$1.8M
Gates Foundation INV-040790NIGMS NIH HHS R01 GM135486
6 · The paper itself

Abstract

This study presents the development of an affordable and straightforward solution-based surface-enhanced Raman scattering (SERS) detection platform, employing plasmonic-active silver-gold nanostars coated with graphene oxide (GO-SGNS). The inclusion of GO with SGNS produced several advantages, including colloidal stability, SERS detection reproducibility, and improved sensitivity. The solution-based SERS platform exhibited an ultralow detection capability with high reproducibility, and we achieved the limit of detection (LOD) as low as 10 pM, 50 pM, 100 pM, and 100 pM for the pesticides- ziram, phorate, triazophos, and azinphos-methyl, respectively. To illustrate the potential for food safety, the surfaces of apples were pretreated with pesticides and were directly analyzed without any sample pretreatment. Furthermore, the solution-based SERS platform provided rapid detection of the four pesticides in binary and quaternary mixtures on apple surfaces, indicating good feasibility and multiplex capability of the method.

Indexed as

bimetallicGold nanostarsgraphene oxide plasmonicspesticidessensingSERS

Identifiers

PMID41531830
PMCPMC12794728

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.