Evidence map›Paper›PMID 36366036›Full record

ArticleSensors (Basel, Switzerland)2022

Fast Detection of Different Water Contaminants by Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy.

Salvatore Almaviva, Florinda Artuso, Isabella Giardina, Antonia Lai, Alessandra Pasquo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 1 institution in 1 country.

Salvatore AlmavivaENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Frascati Research Center, Via Enrico Fermi 45, I-00040 Frascati, Italy.ORCID 0000-0002-8671-9969
Florinda ArtusoENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Frascati Research Center, Via Enrico Fermi 45, I-00040 Frascati, Italy.
Isabella GiardinaENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Frascati Research Center, Via Enrico Fermi 45, I-00040 Frascati, Italy.
Antonia LaiENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Frascati Research Center, Via Enrico Fermi 45, I-00040 Frascati, Italy.
Alessandra PasquoENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Frascati Research Center, Via Enrico Fermi 45, I-00040 Frascati, Italy.ORCID 0000-0003-1808-6394
National Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast monitoring of water quality is a fundamental part of environmental management and protection, in particular, the possibility of qualitatively and quantitatively determining its contamination at levels that are dangerous for human health, fauna and flora. Among the techniques currently available, Raman spectroscopy and its variant, Surface-Enhanced Raman Spectroscopy (SERS), have several advantages, including no need for sample preparation, quick and easy operation and the ability to operate on the field. This article describes the application of the Raman and SERS technique to liquid samples contaminated with different classes of substances, including nitrates, phosphates, pesticides and their metabolites. The technique was also used for the detection of the air pollutant polycyclic aromatic hydrocarbons and, in particular, benzo(a)pyrene, considered as a reference for the carcinogenicity of the whole class of these compounds. To pre-concentrate the analytes, we applied a methodology based on the well-known coffee-ring effect, which ensures preconcentration of the analytes without any pretreatment of the sample, providing a versatile approach for fast and in-situ detection of water pollutants. The obtained results allowed us to reveal these analytes at low concentrations, close to or lower than their regulatory limits.

Indexed as

PesticidesPolycyclic Aromatic HydrocarbonsBenzo(a)pyreneHumansSpectrum Analysis, RamanBenzo(a)pyrenePesticidesPolycyclic Aromatic HydrocarbonsEscherichia coliPAHspesticidesRaman spectroscopySERSwater pollution

Identifiers

PMID36366036
PMCPMC9655218
OpenAlexW4307939044

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.