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Artículo

Identification of chia, flax and sesame seeds authenticity markers by NMR-based untargeted metabolomics and their validation in bakery products containing them

Brigante, Federico IvánIcon ; García, Manuela EmilaIcon ; López Radcenco, Andrés; Moyna, Guillermo; Wunderlin, Daniel AlbertoIcon ; Baroni, María VerónicaIcon
Fecha de publicación: 09/2022
Editorial: Elsevier
Revista: Food Chemistry
ISSN: 0308-8146
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Química Orgánica

Resumen

Chia, flax, and sesame seeds are considered superseeds due to their beneficial nutritional properties, and they are frequently included as functional ingredients in foods. Authenticity markers of these seeds, including bakery products containing them, have been identified by both liquid and gas chromatography coupled to mass spectrometry (LC-MS/MS and GC–MS/MS, respectively) targeted metabolomics. However, there are no reports describing the use of nuclear magnetic resonance (NMR) spectroscopy based metabolomics to identify authenticity markers in either the raw seeds or foods containing them. We herein report the application of an untargeted NMR–based metabolomics workflow to the identification of authenticity markers for the three seeds. Seven markers, belonging to the families of polyphenols and cyanogenic glycosides, allowed good differentiation of the raw materials. Validation in cookies containing different seed percentages showed that two markers resisted the processing stage, making them feasible authenticity markers for the food trade.
Palabras clave: CHEMOMETRICS , FOOD AUTHENTICITY , NUTRITIVE SEEDS , UNTARGETED METABOLOMICS
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/160385
DOI: http://dx.doi.org/10.1016/j.foodchem.2022.132925
URL: https://www.sciencedirect.com/science/article/pii/S0308814622008871
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Articulos(IMBIV)
Articulos de INST.MULTIDISCIPL.DE BIOLOGIA VEGETAL (P)
Citación
Brigante, Federico Iván; García, Manuela Emila; López Radcenco, Andrés; Moyna, Guillermo; Wunderlin, Daniel Alberto; et al.; Identification of chia, flax and sesame seeds authenticity markers by NMR-based untargeted metabolomics and their validation in bakery products containing them; Elsevier; Food Chemistry; 387; 9-2022; 1-10
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