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

agrofood chain food fraud laser spectroscopy multivariate calibration photoacoustic technique quantum cascade laser application

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
30 Jul 2023
Historique:
received: 04 07 2023
revised: 25 07 2023
accepted: 28 07 2023
medline: 14 8 2023
pubmed: 12 8 2023
entrez: 12 8 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37571583
pii: s23156800
doi: 10.3390/s23156800
pmc: PMC10422250
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

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

Références

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pubmed: 22333438
Food Chem. 2016 Nov 1;210:551-7
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pubmed: 22486545

Auteurs

Luca Fiorani (L)

Diagnostics 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.

Antonia Lai (A)

Diagnostics 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.

Adriana Puiu (A)

Diagnostics 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.

Florinda Artuso (F)

Diagnostics 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 Ciceroni (C)

Diagnostics 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.

Isabella Giardina (I)

Diagnostics 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 Pollastrone (F)

Diagnostics 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.

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Classifications MeSH