Evidence map›Paper›PMID 36005031›Full record

ArticleBiosensors2022

An Optical Fiber Sensor for Uranium Detection in Water.

Giancarla Alberti, Maria Pesavento, Letizia De Maria, Nunzio Cennamo, Luigi Zeni, Daniele Merli

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. 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
1.0field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

Giancarla AlbertiDepartment of Chemistry, University of Pavia, Via Taramelli n.12, 27100 Pavia, Italy.ORCID 0000-0003-4106-2219
Maria PesaventoDepartment of Chemistry, University of Pavia, Via Taramelli n.12, 27100 Pavia, Italy.
Letizia De MariaRicerca sul Sistema Energetico-RSE S.p.A, Via R. Rubattino n.54, 20134 Milan, Italy.ORCID 0000-0002-2199-5145
Nunzio CennamoDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma n.29, 81031 Aversa, Italy.ORCID 0000-0001-7769-0984
Luigi ZeniDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma n.29, 81031 Aversa, Italy.ORCID 0000-0001-8356-7480
Daniele MerliDepartment of Chemistry, University of Pavia, Via Taramelli n.12, 27100 Pavia, Italy.
University of Pavia · ITUniversity of Campania "Luigi Vanvitelli" · ITRicerca sul Sistema Energetico (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An optical sensor for uranyl has been prepared based on a gold-plated D-shaped plastic optical fiber (POF) combined with a receptor consisting of a bifunctional synthetic molecule, 11-mercaptoundecylphosphonic acid (MUPA), with a phosphonic group for complexing the considered ion, and a sulfide moiety through which the molecule is fixed at the gold resonant surface as a molecular layer in an easy and reproducible way. The sensor is characterized by evaluating the response in function of the uranyl concentration in aqueous solutions of different compositions and real-life samples, such as tap water and seawater. The mechanism of the uranyl/MUPA interaction was investigated. Two different kinds of interactions of uranyl with the MUPA layer on gold from water are observed: a strong one and a weak one. In the presence of competing metal ions as Ca

Indexed as

Optical FibersUraniumGoldIonsSeawaterWaterGoldIonsUraniumWaterenvironmental watersoptical sensorout-of-the-lab analysisplastic optical fiber (POF)surface plasmon resonance (SPR)uranyl analysis

Identifiers

PMID36005031
PMCPMC9406232
OpenAlexW4291415355

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.