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725164.pdf (1.83 MB)

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2023

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cc-by-nc-nd (c) Galindo-Luján, Rocío et al., 2023
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/193788

Protein profiling and classification of commercial quinoa grains by MALDI-TOF-MS and chemometrics

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Recurs relacionat

https://doi.org/10.1016/j.foodchem.2022.133895

Resum

Quinoa is an Andean grain that is attracting attention worldwide as a high-quality protein-rich food. Nowadays, quinoa foodstuffs are susceptible to adulteration with cheaper cereals. Therefore, there is a need to develop novel methodologies for protein characterization of quinoa. Here, we first developed a matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) method to obtain characteristic mass spectra of protein extracts from 4 different commercial quinoa grains, which group different varieties marketed as black, red, white (from Peru) and royal (white from Bolivia). Then, data preprocessing and peak detection with MALDIquant allowed detecting 47 proteins (being 30 tentatively identified), the intensities of which were considered as fingerprints for multivariate data analysis. Finally, classification by partial least squares discriminant analysis (PLS-DA) was excellent, and 34 out of the 47 proteins were critical for differentiation, confirming the potential of the methodology to obtain a reliable classification of quinoa grains based on protein fingerprinting.

Matèries

Quimiometria, Espectrometria de masses, Ionització

Matèries (anglès)

Chemometrics, Mass spectrometry, Ionization

Citació

Col·leccions

Articles publicats en revistes (Enginyeria Química i Química Analítica)
Articles publicats en revistes (Institut de Recerca en Nutrició i Seguretat Alimentària (INSA·UB))

Citació

GALINDO-LUJÁN, Rocío, et al. Protein profiling and classification of commercial quinoa grains by MALDI-TOF-MS and chemometrics. Food Chemistry. 2023. Vol. 398, num. 1-11. ISSN 0308-8146. [consulted: 18 of August of 2026]. Available at: https://hdl.handle.net/2445/193788

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