Evidence map›Paper›PMID 31035555›Full record

ArticleNanomaterials (Basel, Switzerland)2019

SERS-Active Substrate with Collective Amplification Design for Trace Analysis of Pesticides.

Jaya Sitjar, Jiunn-Der Liao, Han Lee, Bernard Haochih Liu, Wei-En Fu

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

10 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. SERS Sensing Properties of New Graphene/Gold Nanocomposite.Nanomaterials (Basel, Switzerland) · 2019
    Article
  10. 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 at 2 institutions in 1 country.

Jaya SitjarDepartment of Materials Science and Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan. jaya.sitjar@gmail.com.
Jiunn-Der LiaoDepartment of Materials Science and Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan. jdliao@mail.ncku.edu.tw.
Han LeeDepartment of Materials Science and Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan. rick594007@hotmail.com.
Bernard Haochih LiuDepartment of Materials Science and Engineering, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan. hcliu@mail.ncku.edu.tw.ORCID 0000-0002-5914-5461
Wei-En FuCenter for Measurement Standards, Industrial Technology Research Institute, No. 321, Kuang Fu Road, Sec. 2, Hsinchu 300, Taiwan. weienfu@itri.org.tw.
National Cheng Kung University · TWIndustrial Technology Research Institute · TW

Funding

Headquarters of University Advancement at National Cheng Kung University and the Ministry of Education, Taiwan D108-F2302
6 · The paper itself

Abstract

Health risks posed by the exposure to trace amounts of pesticide residue in agricultural products have gained a lot of concerns, due to their neurotoxic nature. The applications of surface-enhanced Raman Scattering (SERS) as a detection technique have consistently shown its potential as a rapid and sensitive means with minimal sample preparation. In this study, gold nanoparticles (Au NPs) in elliptical shapes were collected into a layer of ordered zirconia concave pores. The porous zirconia layer (

Indexed as

gold nanoparticlespesticide detectionsurface-enhanced Raman scatteringzirconia nanopores

Identifiers

PMID31035555
PMCPMC6566408
OpenAlexW2941220589

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.