Hyperspectral imaging for the authentication of commercial almond batches

I. Torres-Rodríguez; D. Pérez-Marín; M. Vega-Castellote; A. Garrido-Varo; M. T. Sánchez

doi:10.1117/12.2668688

13 June 2023 Hyperspectral imaging for the authentication of commercial almond batches

I. Torres-Rodríguez, D. Pérez-Marín, M. Vega-Castellote, A. Garrido-Varo, M. T. Sánchez

Proceedings Volume 12545, Sensing for Agriculture and Food Quality and Safety XV; 1254505 (2023) https://doi.org/10.1117/12.2668688
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

In the almond industry, the presence of bitter almonds in processed batches is a common problem that causes not only unpleasant flavors but also problems in the product commercialization. This research group has previously demonstrated the potential of Near Infrared Spectroscopy (NIRS) to detect adulterated almond batches; however, since NIRS provides an average spectrum of each batch, it does not enable to identify each individual bitter almond. Hyperspectral Imaging (HSI), which integrates both the spectral and spatial dimensions, enables to know the spatial distribution of the different physico-chemical characteristics, favoring the individual identification of the different compounds in the sample. The aim of this study was to evaluate the feasibility of using a HSI system for the identification of bitter almonds in sweet almond batches. Samples were analyzed using a HSI camera working in the spectral range 946.6–1648.0 nm and Partial Least Squares Discriminant Analysis (PLS-DA) was applied. A classification success over the 99% was obtained in cross-validation and the pixel-by-pixel validation identified correctly between the 61 – 85% of the adulterations. The results confirm that HSI can be considered a promising approach for the classification of almonds by bitterness, allowing the identification of each single bitter almond present in the batch.

Conference Presentation

Citation Download Citation

I. Torres-Rodríguez, D. Pérez-Marín, M. Vega-Castellote, A. Garrido-Varo, and M. T. Sánchez "Hyperspectral imaging for the authentication of commercial almond batches", Proc. SPIE 12545, Sensing for Agriculture and Food Quality and Safety XV, 1254505 (13 June 2023); https://doi.org/10.1117/12.2668688

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available