Presentation
13 June 2023 Authentication of virgin olive oil using an in-line NIRS instrument and a two-step classification multivariate approach (Conference Presentation)
Author Affiliations +
Abstract
This work tries to demonstrate the potential of Near Infrared Spectroscopy combined with class-modelling and discriminant methods, for improvement of EVOO authentication. To cover that goal, 209 olive oil samples from the three mentioned categories (68 EVOO, 93 VOO and 48 LOO) were analyzed in a FT-NIR instrument coupled to an in-line fiber optic probe. The best models developed allow to classify correctly 82% of samples as EVOO and 84.93% as VOO. These results show that NIRS technology can be a great instrumental method to replace/complement the Panel Test.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mar Garrido-Cuevas, Paolo Oliveri, María-Teresa Sánchez, Ana Garrido-Varo, and Dolores C. Pérez-Marín "Authentication of virgin olive oil using an in-line NIRS instrument and a two-step classification multivariate approach (Conference Presentation)", Proc. SPIE PC12545, Sensing for Agriculture and Food Quality and Safety XV, PC1254501 (13 June 2023); https://doi.org/10.1117/12.2668807
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KEYWORDS
Near infrared

Sensors

Chemical analysis

Equipment

Near infrared spectroscopy

Standards development

Statistical analysis

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