Evidence map›Paper›PMID 26734514›Full record

ArticleBeilstein journal of nanotechnology2015

Au nanoparticle-based sensor for apomorphine detection in plasma.

Chiara Zanchi, Andrea Lucotti, Matteo Tommasini, Sebastiano Trusso, Ugo de Grazia, Emilio Ciusani, Paolo M Ossi

Open access · diamondAbstract read
In one paragraph

Article in Beilstein journal of nanotechnology, 2015. 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
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  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

7 authors at 3 institutions in 1 country.

Chiara ZanchiDipartimento di Energia, Politecnico di Milano, Via Ponzio 34/3, 20133 Milano, Italy.
Andrea LucottiDipartimento di Chimica, Materiali e Ingegneria Chimica 'Giulio Natta', Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.
Matteo TommasiniDipartimento di Chimica, Materiali e Ingegneria Chimica 'Giulio Natta', Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.
Sebastiano TrussoCNR-IPCF, Istituto per i Processi Chimico-Fisici del CNR, V.le. F. S. D'Alcontres 37, 98158 Messina, Italy.
Ugo de GraziaLaboratorio di Patologia Clinica e Genetica Medica, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milano, Italy.
Emilio CiusaniLaboratorio di Patologia Clinica e Genetica Medica, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milano, Italy.
Paolo M OssiDipartimento di Energia, Politecnico di Milano, Via Ponzio 34/3, 20133 Milano, Italy.
Politecnico di Milano · ITFondazione IRCCS Istituto Neurologico Carlo Besta · ITInstitute for Chemical and Physical Processes · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificially roughened gold surfaces with controlled nanostructure produced by pulsed laser deposition have been investigated as sensors for apomorphine detection aiming at clinical application. The use of such gold surfaces has been optimized using aqueous solutions of apomorphine in the concentration range between 3.3 × 10(-4) M and 3.3 × 10(-7) M. The experimental parameters have been investigated and the dynamic concentration range of the sensor has been assessed by the selection of two apomorphine surface enhanced Raman scattering (SERS) peaks. The sensor behavior used to detect apomorphine in unfiltered human blood plasma is presented and discussed.

Indexed as

apomorphineAu NPsnano-roughened filmspulsed laser depositionself-assembled filmsSERS

Identifiers

PMID26734514
PMCPMC4685758
OpenAlexW2199874661

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.