Evidence map›Paper›PMID 33733686›Full record

ArticleMikrochimica acta2021

Bimetallic AgNPs@dopamine modified-halloysite nanotubes-AuNPs for adenine determination using surface-enhanced Raman scattering.

Huasheng Lai, Huadong Zhang, Gongke Li, Yufei Hu

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Huasheng Lai *School of Chemistry, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Huadong Zhang *School of Chemistry, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Gongke LiSchool of Chemistry, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China. cesgkl@mail.sysu.edu.cn.ORCID 0000-0003-3750-6358
Yufei HuSchool of Chemistry, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China. huyufei@mail.sysu.edu.cn.

Funding

the National Key Research and Development Program of China 2019YFC1606101the National Natural Science Foundation of China 21775167the National Natural Science Foundation of China 21976213the Research and Development Plan for Key Areas of Food Safety in Guangdong Province of China 2019B020211001
6 · The paper itself

Abstract

A bimetallic nanoparticles modified halloysite nanotubes (HNTs) hybrid was prepared by embedding AgNPs and modifying AuNPs on the inner or outer wall of dopamine-modified HNTs (DHNTs) in sequence. The resulting bimetallic AgNPs@DHNTs-AuNPs hybrid as surface-enhanced Raman scattering (SERS) substrate exhibited improved enhancement ability over monometallic AgNPs@DHNTs, and DHNTs-AuNPs substrates, with intensity ratios of about 48:1:9 (crystal violet) and 11:1:2 (p-phenylenediamine). The giant SERS effect of AgNPs@DHNTs-AuNPs substrate is probably attributed to the synergetic enhancement of the electromagnetic field (Au/Ag), optical plasmon force, molecular enrichment (HNTs), and charge transfer (NPs-dopamine-molecules). The sensitive and reproductive AgNPs@DHNTs-AuNPs substrate was applied for SERS determination of adenine with a linear range of 0.010-0.50 mg·L

Indexed as

AdenineAnimalsBiomarkersChickensClayDopamineFishesGoldKidneyLimit of DetectionMetal NanoparticlesMyocardiumNanotubesReproducibility of ResultsSilverSpectrum Analysis, RamanAdenineBiomarkersClayDopamineGoldSilverAdenineComplex sample matrixHalloysite nanotubeRapid analysisSurface-enhanced Raman scattering (SERS)

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.