Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Laser Sensing and Chemometric Analysis for Rapid Detection of Oregano Fraud

Luca Fiorani
* ORCID logo ,
Antonia Lai
ORCID logo ,
Adriana Puiu
ORCID logo ,
Florinda Artuso
,
Claudio Ciceroni
ORCID logo ,
Isabella Giardina
,
Fabio Pollastrone
ORCID logo
Version 1 : Received: 5 July 2023 / Approved: 6 July 2023 / Online: 6 July 2023 (07:08:41 CEST)

A peer-reviewed article of this Preprint also exists.

Fiorani, L.; Lai, A.; Puiu, A.; Artuso, F.; Ciceroni, C.; Giardina, I.; Pollastrone, F. Laser Sensing and Chemometric Analysis for Rapid Detection of Oregano Fraud. Sensors 2023, 23, 6800. Fiorani, L.; Lai, A.; Puiu, A.; Artuso, F.; Ciceroni, C.; Giardina, I.; Pollastrone, F. Laser Sensing and Chemometric Analysis for Rapid Detection of Oregano Fraud. Sensors 2023, 23, 6800.

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.

Keywords

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

Subject

Physical Sciences, Applied Physics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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