Evidence map›Paper›PMID 38868820›Full record

ArticleNanoscale advances2024

Paper/GO/e-Au flexible SERS sensors for

Ha Anh Nguyen, Quan Doan Mai, Dao Thi Nguyet Nga, Minh Khanh Pham, Quoc Khanh Nguyen, Trong Hiep Do, Van Thien Luong, Vu Dinh Lam, Anh-Tuan Le

Abstract read
In one paragraph

Article in Nanoscale advances, 2024. 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. Review
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

9 authors.

Ha Anh NguyenPhenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0002-1183-5041
Quan Doan MaiPhenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0003-2931-0822
Dao Thi Nguyet NgaPhenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0001-5824-8007
Minh Khanh PhamPhenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.
Quoc Khanh NguyenFaculty of Computer Science, Phenikaa University Hanoi 12116 Vietnam.
Trong Hiep DoFaculty of Computer Science, Phenikaa University Hanoi 12116 Vietnam.
Van Thien LuongFaculty of Computer Science, Phenikaa University Hanoi 12116 Vietnam.
Vu Dinh LamInstitute of Materials Science (IMS), Graduate University of Science and Technology (GUST), Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Hanoi 10000 Vietnam.
Anh-Tuan LePhenikaa University Nano Institute (PHENA), Phenikaa University Hanoi 12116 Vietnam anh.nguyenha@phenikaa-uni.edu.vn tuan.leanh@phenikaa-uni.edu.vn.ORCID https://orcid.org/0000-0002-4191-1834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite being an excellent surface enhanced Raman scattering (SERS) active material, gold nanoparticles were difficult to be loaded onto the surface of filter paper to fabricate flexible SERS substrates. In this study, electrochemically synthesized gold nanoparticles (e-AuNPs) were deposited on graphene oxide (GO) nanosheets in solution by ultrasonication, resulting in the formation of a GO/Au hybrid material. Thanks to the support of GO, the hybrid material could adhere onto the surface of filter paper, which was immersed into a GO/Au solution for 24 h and dried naturally at room temperature. The paper-based materials were then employed as substrates for a surface enhanced Raman scattering (SERS) sensing platform to detect tricyclazole (TCZ), a widely used pesticide, resulting in better sensitivity compared to the use of paper/Au SERS sensors. With the most optimal GO content of 4%, paper/GO/Au SERS sensors could achieve a limit of detection of 1.32 × 10

Identifiers

PMID38868820
PMCPMC11166118

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.