Evidence map›Paper›PMID 36312398›Full record

ArticleACS omega2022

Smartphone-Assisted Sensing of Trinitrotoluene by Optical Array.

Rossella Santonocito, Nunzio Tuccitto, Valentina Cantaro, Antonino Biagio Carbonaro, Andrea Pappalardo, Valentina Greco, Valeria Buccilli, Pietro Maida, Davide Zavattaro, Gianfranco Sfuncia and 5 more

Abstract read
In one paragraph

Article in ACS omega, 2022. 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. Review
  3. Nanomaterials for Cortisol Sensing.Nanomaterials (Basel, Switzerland) · 2022
    Review
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

15 authors.

Rossella SantonocitoDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.
Nunzio TuccittoDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.ORCID https://orcid.org/0000-0003-4129-0406
Valentina CantaroDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.
Antonino Biagio CarbonaroDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.
Andrea PappalardoDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.
Valentina GrecoDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.
Valeria BuccilliReparto Carabinieri Investigazioni Scientifiche Messina, Via Monsignor D'Arrigo 5, 98122Messina, Italy.
Pietro MaidaReparto Carabinieri Investigazioni Scientifiche Messina, Via Monsignor D'Arrigo 5, 98122Messina, Italy.
Davide ZavattaroReparto Carabinieri Investigazioni Scientifiche Messina, Via Monsignor D'Arrigo 5, 98122Messina, Italy.
Gianfranco SfunciaConsiglio Nazionale delle Ricerche, Istituto per la Microelettronica e Microsistemi, I-95121Catania, Italy.ORCID https://orcid.org/0000-0001-7355-7692
Giuseppe NicotraConsiglio Nazionale delle Ricerche, Istituto per la Microelettronica e Microsistemi, I-95121Catania, Italy.
Giuseppe MaccarroneDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.
Antonino GulinoDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.ORCID https://orcid.org/0000-0002-6850-3080
Alessandro GiuffridaDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.
Giuseppe Trusso SfrazzettoDepartment of Chemical Sciences, University of Catania, viale A. Doria 6, 95100Catania, Italy.ORCID https://orcid.org/0000-0003-1584-5869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we report the design and fabrication of an array-based sensor, containing functionalized Carbon Dots, Bodipy's and Naphthalimide probes, that shows high fluorescence emissions and sensitivity in the presence of low amounts of TNT explosive. In particular, we have fabricated the first sensor device based on an optical array for the detection of TNT in real samples by using a smartphone as detector. The possibility to use a common smartphone as detector leads to a prototype that can be also used in a real-life field application. The key benefit lies in the possibility of even a nonspecialist operator in the field to simply collect and send data (photos) to the trained artificial intelligence server for rapid diagnosis but also directly to the bomb disposal unit for expert evaluation. This new array sensor contains seven different fluorescent probes that are able to interact via noncovalent interactions with TNT. The interaction of each probe with TNT has been tested in solution by fluorescence titrations. The solid device has been tested in terms of selectivity and linearity toward TNT concentration. Tests performed with other explosives and other nitrogen-based analytes demonstrate the high selectivity for TNT molecules, thus supporting the reliability of this sensor. In addition, TNT can be detected in the range of 98 ng∼985 μg, with a clear different response of each probe to the different amounts of TNT.

Identifiers

PMID36312398
PMCPMC9609071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.