Isotope Ratio Mass Spectrometry (IRMS) is a promising tool in organic authentication cases. Premium-priced Italian rice varieties (Carnaroli, Arborio, Baldo) are used in cuisines worldwide for their unique qualitative properties. Organic authentication of rice by morphological assessment is unfeasible, while its market availability at different refining stages (brown, white) further increases the data variability. In this study, bulk and compound-specific (CS) − IRMS analysis of nine rice amino acids (AAs), by elemental analyser (EA) – IRMS and gas chromatography (GC) − combustion (C) − IRMS, respectively, were applied in order to explore their organic authentication potential in cases involving different rice varieties and refining types. The individual and interactive effects of the different variables were assessed on the δ13CAAs, δ15NAAs, δ13Cbulk and δ15Nbulk, and the sample classification was attempted by linear discriminant analysis (LDA) and decision tree analysis (DTA). Organic authentication of brown rice was achieved by CS-IRMS. Generic rice was differentiated from all Italian organic and conventional varieties (δ15Nleucine < 2.5 ‰). The δ13C values of glutamic acid, glycine, phenylalanine and proline, significantly contributed to the complete LDA separation of conventional Arborio, conventional Carnaroli and organic Carnaroli samples. This study showcases the interplay between refining type, variety and cultivation, which should be considered in cases of organic authentication by IRMS methods

Giannioti, Z.; Roncone, A.; Bontempo, L. (9999). Unveiling Diversity in amino acid stable isotope profiles for classifying rice Varieties, refining types and cultivation systems. FOOD RESEARCH INTERNATIONAL: 115567. doi: 10.1016/j.foodres.2024.115567 handle: https://hdl.handle.net/10449/88216

Unveiling Diversity in amino acid stable isotope profiles for classifying rice Varieties, refining types and cultivation systems

Giannioti, Z.
Primo
;
Roncone, A.;Bontempo, L.
Ultimo
In corso di stampa

Abstract

Isotope Ratio Mass Spectrometry (IRMS) is a promising tool in organic authentication cases. Premium-priced Italian rice varieties (Carnaroli, Arborio, Baldo) are used in cuisines worldwide for their unique qualitative properties. Organic authentication of rice by morphological assessment is unfeasible, while its market availability at different refining stages (brown, white) further increases the data variability. In this study, bulk and compound-specific (CS) − IRMS analysis of nine rice amino acids (AAs), by elemental analyser (EA) – IRMS and gas chromatography (GC) − combustion (C) − IRMS, respectively, were applied in order to explore their organic authentication potential in cases involving different rice varieties and refining types. The individual and interactive effects of the different variables were assessed on the δ13CAAs, δ15NAAs, δ13Cbulk and δ15Nbulk, and the sample classification was attempted by linear discriminant analysis (LDA) and decision tree analysis (DTA). Organic authentication of brown rice was achieved by CS-IRMS. Generic rice was differentiated from all Italian organic and conventional varieties (δ15Nleucine < 2.5 ‰). The δ13C values of glutamic acid, glycine, phenylalanine and proline, significantly contributed to the complete LDA separation of conventional Arborio, conventional Carnaroli and organic Carnaroli samples. This study showcases the interplay between refining type, variety and cultivation, which should be considered in cases of organic authentication by IRMS methods
Isotope Ratio Mass Spectrometry
Food authentication
Cereals
Multivariate analysis
Organic products
Settore CHEM-07/B - Chimica degli alimenti
In corso di stampa
Giannioti, Z.; Roncone, A.; Bontempo, L. (9999). Unveiling Diversity in amino acid stable isotope profiles for classifying rice Varieties, refining types and cultivation systems. FOOD RESEARCH INTERNATIONAL: 115567. doi: 10.1016/j.foodres.2024.115567 handle: https://hdl.handle.net/10449/88216
File in questo prodotto:
File Dimensione Formato  
2025 FRI Bontempo.pdf

accesso aperto

Tipologia: Pre-print non referato (Non-refereed preprint)
Licenza: Creative commons
Dimensione 1.11 MB
Formato Adobe PDF
1.11 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/88216
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact