Evidence map›Paper›PMID 35631001›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Sensitive Detection of Industrial Pollutants Using Modified Electrochemical Platforms.

Alessio Di Tinno, Rocco Cancelliere, Pietro Mantegazza, Antonino Cataldo, Alesia Paddubskaya, Luigi Ferrigno, Polina Kuzhir, Sergey Maksimenko, Mikhail Shuba, Antonio Maffucci and 2 more

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

12 authors.

Alessio Di TinnoDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", 00133 Rome, Italy.
Rocco CancelliereDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-3278-0414
Pietro MantegazzaDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", 00133 Rome, Italy.
Antonino CataldoDISPREV Laboratory, Casaccia Research Center, ENEA, 00185 Rome, Italy.ORCID 0000-0003-4662-9106
Alesia PaddubskayaInstitute for Nuclear Problems, Belarusian State University, 220007 Minsk, Belarus.ORCID 0000-0001-7658-1436
Luigi FerrignoDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy.
Polina KuzhirDepartment of Physics and Mathematics, Institute of Photonics, University of Eastern Finland, 80200 Joensuu, Finland.ORCID 0000-0003-3689-0837
Sergey MaksimenkoInstitute for Nuclear Problems, Belarusian State University, 220007 Minsk, Belarus.ORCID 0000-0002-8271-0449
Mikhail ShubaInstitute for Nuclear Problems, Belarusian State University, 220007 Minsk, Belarus.ORCID 0000-0003-4828-7242
Antonio MaffucciNational Institute of Nuclear Physics, Frascati National Laboratories, 00044 Frascati, Italy.ORCID 0000-0002-4992-9449
Stefano BellucciNational Institute of Nuclear Physics, Frascati National Laboratories, 00044 Frascati, Italy.ORCID 0000-0003-0326-6368
Laura MicheliDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-6970-0318

Funding

North Atlantic Treaty Organization G5777the Academy of Finland via Flagship Programme Photonics Research and Innovation (PREIN) 320166
6 · The paper itself

Abstract

Water pollution is nowadays a global problem and the effective detection of pollutants is of fundamental importance. Herein, a facile, efficient, robust, and rapid (response time < 2 min) method for the determination of important quinone-based industrial pollutants such as hydroquinone and benzoquinone is reported. The recognition method is based on the use of screen-printed electrodes as sensing platforms, enhanced with carbon-based nanomaterials. The enhancement is achieved by modifying the working electrode of such platforms through highly sensitive membranes made of Single- or Multi-Walled Carbon Nanotubes (SWNTs and MWNTs) or by graphene nanoplatelets. The modified sensing platforms are first carefully morphologically and electrochemically characterized, whereupon they are tested in the detection of different pollutants (i.e., hydroquinone and benzoquinone) in water solution, by using both cyclic and square-wave voltammetry. In particular, the sensors based on film-deposited nanomaterials show good sensitivity with a limit of detection in the nanomolar range (0.04 and 0.07 μM for SWNT- and MWNT-modified SPEs, respectively) and a linear working range of 10 to 1000 ppb under optimal conditions. The results highlight the improved performance of these novel sensing platforms and the large-scale applicability of this method for other analytes (i.e., toxins, pollutants).

Indexed as

carbon-based nanomaterialsgraphene nanoplateletsorganic pollutantsquinonesscreen-printed electrodesvoltammetry

Identifiers

PMID35631001
PMCPMC9142962

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.