Evidence map›Paper›PMID 37571583›Full record

ArticleSensors (Basel, Switzerland)2023

Laser Sensing and Chemometric Analysis for Rapid Detection of Oregano Fraud.

Luca Fiorani, Antonia Lai, Adriana Puiu, Florinda Artuso, Claudio Ciceroni, Isabella Giardina, Fabio Pollastrone

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 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
0.7field-weighted citation impact, top 35% 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, 6 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

7 authors at 1 institution in 1 country.

Luca FioraniDiagnostics and Metrology Laboratory, Physical Technologies for Safety and Health Division, Fusion and Technology for Nuclear Safety and Security Department, ENEA, Via Enrico Fermi 45, 00044 Frascati, Italy.ORCID 0000-0001-9696-3124
Antonia LaiDiagnostics and Metrology Laboratory, Physical Technologies for Safety and Health Division, Fusion and Technology for Nuclear Safety and Security Department, ENEA, Via Enrico Fermi 45, 00044 Frascati, Italy.ORCID 0000-0003-0733-0291
Adriana PuiuDiagnostics and Metrology Laboratory, Physical Technologies for Safety and Health Division, Fusion and Technology for Nuclear Safety and Security Department, ENEA, Via Enrico Fermi 45, 00044 Frascati, Italy.ORCID 0000-0001-7171-2046
Florinda ArtusoDiagnostics and Metrology Laboratory, Physical Technologies for Safety and Health Division, Fusion and Technology for Nuclear Safety and Security Department, ENEA, Via Enrico Fermi 45, 00044 Frascati, Italy.
Claudio CiceroniDiagnostics and Metrology Laboratory, Physical Technologies for Safety and Health Division, Fusion and Technology for Nuclear Safety and Security Department, ENEA, Via Enrico Fermi 45, 00044 Frascati, Italy.ORCID 0000-0001-9705-9508
Isabella GiardinaDiagnostics and Metrology Laboratory, Physical Technologies for Safety and Health Division, Fusion and Technology for Nuclear Safety and Security Department, ENEA, Via Enrico Fermi 45, 00044 Frascati, Italy.
Fabio PollastroneDiagnostics and Metrology Laboratory, Physical Technologies for Safety and Health Division, Fusion and Technology for Nuclear Safety and Security Department, ENEA, Via Enrico Fermi 45, 00044 Frascati, Italy.ORCID 0000-0002-4217-3968
National Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

National Agency for New Technologies, Energy and Sustainable Economic Development Deliberation of the board of directors no. 80/2018/CA of 9 November 2018Regione Lazio ERDF-ROP program, no. A0375-2020-36403, call "Gruppi di Ricerca 2020"
6 · The paper itself

Abstract

World health is increasingly threatened by the growing number of spice-related food hazards. Further development of reliable methods for rapid, non-targeted identification of counterfeit ingredients within the supply chain is needed. ENEA has developed a portable, user-friendly photoacoustic laser system for food fraud detection, based on a quantum cascade laser and multivariate calibration. Following a study on the authenticity of saffron, the instrument was challenged with a more elusive adulterant, olive leaves in oregano. The results show that the reported method of laser sensing and chemometric analysis was able to detect adulterants at mass ratios of at least 20% in less than five minutes.

Indexed as

OriganumChemometricsFood ContaminationFraudLasersagrofood chainfood fraudlaser spectroscopymultivariate calibrationphotoacoustic techniquequantum cascade laser application

Identifiers

PMID37571583
PMCPMC10422250
OpenAlexW4385423769

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.