Potential use of the ATR-FTIR spectroscopy as an almond cultivar recognition tool: impact of sample and spectral pre-treatments

Abstract Three almond cultivars (Lauranne, Marinada, and Vairo) were studied, considering morphological parameters that showed statistical cultivar-dependence but not enabled accurate cultivar recognition. Alternatively, attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) was applied to whole endocarp, kernel, and ground almonds. Both transmittance spectra and respective derivatives (3400–2800 and 1900–600 cm −1 ) of the three matrices were used to establish multivariate linear discriminant models, based on subsets of selected wavenumbers (6–33), allowing 90.5–99.7% of correct cultivar classification for repeated K-fold cross-validation. Ground almonds yielded the best results regardless of spectrum pre-treatment. While epicarp analysis offers less invasiveness, the use of raw transmittance spectra of ground almonds resulted into the most practical approach due to the need of fewer independent variables (less complex models), proving effective for cultivar identification via ATR-FTIR -chemometric tools. Overall, the findings point out that ATR-FTIR is a reliable tool for almond cultivar traceability.

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Publication Details

Journal
Journal of Food Measurement & Characterization
Published
2025-02-28
DOI
https://doi.org/10.1007/s11694-025-03133-9
Citations
2
Primary Topic
Nuts composition and effects
Type
article
Field-Weighted Citation Impact
2.24

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article

Potential use of the ATR-FTIR spectroscopy as an almond cultivar recognition tool: impact of sample and spectral pre-treatments

Nuno Rodrigues, Baudilio Herrero, Arantzazu Santamaria‐Echart, Sandra Lamas et al.
2 citations
Journal of Food Measurement & Characterization
Nuts composition and effects
2.24
article

Potential use of the ATR-FTIR spectroscopy as an almond cultivar recognition tool: impact of sample and spectral pre-treatments

Nuno Rodrigues, Baudilio Herrero, Arantzazu Santamaria‐Echart, Sandra Lamas, António M. Peres, Isabel López Cortés, José Alberto Pereira, Igor Palu, Jocyla R. Manhique
article en
2 citations

Abstract

Abstract Three almond cultivars (Lauranne, Marinada, and Vairo) were studied, considering morphological parameters that showed statistical cultivar-dependence but not enabled accurate cultivar recognition. Alternatively, attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) was applied to whole endocarp, kernel, and ground almonds. Both transmittance spectra and respective derivatives (3400–2800 and 1900–600 cm −1 ) of the three matrices were used to establish multivariate linear discriminant models, based on subsets of selected wavenumbers (6–33), allowing 90.5–99.7% of correct cultivar classification for repeated K-fold cross-validation. Ground almonds yielded the best results regardless of spectrum pre-treatment. While epicarp analysis offers less invasiveness, the use of raw transmittance spectra of ground almonds resulted into the most practical approach due to the need of fewer independent variables (less complex models), proving effective for cultivar identification via ATR-FTIR -chemometric tools. Overall, the findings point out that ATR-FTIR is a reliable tool for almond cultivar traceability.

Journal of Food Measurement & CharacterizationVol. 19(4)
Universidad de Valladolid (ES), Universidade Politécnica de Bragança (PT), Universitat Politècnica de València (ES)
Instituto Politécnico de Bragança, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 15%
Nuts composition and effects
2.24
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