Evidence map›Paper›PMID 37612357›Full record

ArticleScientific reports2023

XRF analysis searching for fingerprint elemental profile in south-eastern Sicily tomatoes.

Salvina Panebianco, Maria Grazia Pellegriti, Claudio Finocchiaro, Agatino Musumarra, Germana Barone, Maria Cristina Caggiani, Gabriella Cirvilleri, Gabriele Lanzafame, Alfredo Pulvirenti, Agata Scordino and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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
–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

2 citing papers in PubMed.

  1. Review
  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

11 authors.

Salvina PanebiancoDipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy.
Maria Grazia PellegritiIstituto Nazionale di Fisica Nucleare, Sezione di Catania, Catania, Italy.
Claudio FinocchiaroDipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy.
Agatino MusumarraDipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy. agatino.musumarra@unict.it.
Germana BaroneDipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy.
Maria Cristina CaggianiDipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy.
Gabriella CirvilleriDipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy.
Gabriele LanzafameDipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy.
Alfredo PulvirentiDipartimento di Medicina Clinica e Sperimentale, Unità Bioinformatica, Università di Catania, Catania, Italy.
Agata ScordinoDipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy.
Paolo MazzoleniDipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of analytical techniques able to certify food quality and origin in a fast and non-destructive way is becoming a widespread need in the agri-food sector. Among the physical non-destructive techniques, X-ray fluorescence (XRF) spectrometry is often used to analyze the elemental composition of biological samples. In this study, X-ray fluorescence (XRF) elemental profiles were measured on tomato samples belonging to different geographical areas in Sicily (Italy). The purpose of this investigation was aiming to establish a protocol for in-situ measurement and analysis able to provide quality assessment and traceability of PGI agri-food products, specifically sustaining health safety and self qualifying bio-chemical signature. In detail, sampling was performed in one of the most tomato productive area of south-eastern Sicily (Pachino district), characterised by a relative higher amount of Organic Carbon and Cation Exchange Capacity, and compared with samples from other growing areas of Sicily, falling in Ragusa province and Mt. Etna region. Experimental data were analyzed in the framework of multivariate analysis by using principal component analysis and further validated by discriminant analysis. The results show the presence of specific elemental signatures associated to several characterizing elements. This methodology establishes the possibility to disentangle a clear fingerprint pattern associated to the geographical origin of an agri-food product.

Indexed as

Solanum lycopersicumRadiographySicilyX-Rays

Identifiers

PMID37612357
PMCPMC10447457

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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.