Discriminating gamma-irradiated soybean seeds by 1H NMR-based metabonomics

Discriminating gamma-irradiated soybean seeds by 1H NMR-based metabonomics

Gamma irradiation has been paramount for enhancing the quality of grain production, mainly in terms of distribution and storage. Gamma irradiation classification models for soybeans, however, are still in development. In this paper, we present a metabonomic model able to distinguish between gamma-ir...

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Bibliographic Details
Published in:Food control Vol. 36; no. 1; pp. 266 - 272
Main Authors: Ribeiro, Abene Silva, Gouveia, Liana Ribeiro, Barros, Carlos Jonnatan Pimentel, Firmino, Paulo Renato Alves, Silva, Ricardo Oliveira
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-02-2014
Elsevier
Subjects:
Biological and medical sciences
Food industries
Fundamental and applied biological sciences. Psychology
Gamma irradiation
General aspects
Hygiene and safety
Metabolomics
Metabonomics
PCA
PLS-DA
Soybeans
Metabolomics
Soybeans
Gamma irradiation
PLS-DA
Metabonomics
PCA
Grain legume
Seeds
NMR spectrometry
Soybean
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Summary:Gamma irradiation has been paramount for enhancing the quality of grain production, mainly in terms of distribution and storage. Gamma irradiation classification models for soybeans, however, are still in development. In this paper, we present a metabonomic model able to distinguish between gamma-irradiated and non-irradiated soybeans. The metabonomic model works on 1H NMR spectra of chloroform extracts and makes use of PCA and PLS-DA formalisms to classify the samples and to investigate which spectral bins are discriminatory. The model has presented an accuracy of 100% in the face of a real dataset involving 49 samples from diverse cultivars. In turn, the most important chemical shifts (δ) for discriminating among the samples were δ 1.57 and 1.62 ppm, which are assigned to β-carboxyl methylene groups of aliphatic chains of fatty acids. Besides, the gamma-irradiated samples showed an increasing in the integration areas at δ 1.57 ppm (assigned to free fatty acid) whilst non-irradiated samples showed an increasing in the integration areas at δ 1.62 ppm (assigned to fatty acids linked to glycerol as esters). •We use metabonomic strategy to discriminate soybeans γ-irradiated.•PCA and PLS-DA from 1H NMR data discriminated the γ-irradiated samples.•Discriminatory bins are δ 1.57 and 1.62 ppm, assigned to β-carboxylic CH2 groups.
ISSN:0956-7135
1873-7129
DOI:10.1016/j.foodcont.2013.08.040