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.

Fiorani, L., Lai, A., Puiu, A., Artuso, F., Ciceroni, C., Giardina, I., et al. (2023). Laser sensing and chemometric analysis for rapid detection of oregano fraud. SENSORS, 23(15) [10.3390/s23156800].

Laser sensing and chemometric analysis for rapid detection of oregano fraud

Adriana Puiu;Claudio Ciceroni;Fabio Pollastrone
2023-07-30

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.
30-lug-2023
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore IINF-01/A - Elettronica
English
Agrofood chain; Food fraud; Laser spectroscopy; Multivariate calibration; Photoacoustic technique; Quantum cascade laser application
This work has been supported by the TecHea project (Technologies for Health), funded by ENEA (deliberation of the board of directors no. 80/2018/CA of 9 November 2018) and by the TESLA project (Laser Techniques for the Safety of Food and Water) funded by “Regione Lazio” (ERDF-ROP program, no. A0375-2020-36403, call “Gruppi di Ricerca 2020”).
Fiorani, L., Lai, A., Puiu, A., Artuso, F., Ciceroni, C., Giardina, I., et al. (2023). Laser sensing and chemometric analysis for rapid detection of oregano fraud. SENSORS, 23(15) [10.3390/s23156800].
Fiorani, L; Lai, A; Puiu, A; Artuso, F; Ciceroni, C; Giardina, I; Pollastrone, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/426787
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