Enhancing Traceability of Italian Almonds through IR Spectroscopy and Chemometric Classifiers

Almonds are the seeds of the almond (Prunus Amygdalus) tree and are a nut consumed worldwide. The present study utilized the ATR FT-IR technique followed by a chemometric analysis to develop predictive models for determining the geographical origin of almonds from three regions in Southern Italy (Ap...

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Bibliographic Details
Published inApplied sciences Vol. 13; no. 23; p. 12765
Main Authors Scappaticci, Claudia, Foschi, Martina, Plaku, Alessio, Biancolillo, Alessandra, D’Archivio, Angelo Antonio
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.12.2023
Subjects
Almond
Classification
Discriminant analysis
FT-IR
geographical origin
nuts
Spectrum analysis
traceability
United States > US
Italy
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Summary:Almonds are the seeds of the almond (Prunus Amygdalus) tree and are a nut consumed worldwide. The present study utilized the ATR FT-IR technique followed by a chemometric analysis to develop predictive models for determining the geographical origin of almonds from three regions in Southern Italy (Apulia, Calabria, and Sicily). IR spectra were collected on both the almond shell and the edible kernel to accurately characterize the three different geographical origins. The spectroscopic data obtained were processed using Soft Independent Modeling of Class Analogies (SIMCA) and Partial Least Squares Discriminant Analysis (PLS-DA). Both SIMCA and PLS-DA revealed that the shell spectra are more useful for assessing the geographical origin of samples. In particular, the PLS-DA model applied to these data achieved a 100% correct classification rate (on the external test set of individuals) for all the investigated classes.
ISSN:2076-3417
2076-3417
DOI:10.3390/app132312765