期刊
FOOD RESEARCH INTERNATIONAL
卷 119, 期 -, 页码 785-792出版社
ELSEVIER
DOI: 10.1016/j.foodres.2018.10.061
关键词
Capsicum annuum; Metabolomic fingerprinting; Nuclear magnetic resonance spectroscopy; Principal component analysis (PCA)
资金
- SIP-IPN [20170405, 20180955]
Herein we report on the H-1 NMR-based metabolomics profiling of ten new races of Capsicum annuum cv. serrano, cultivated in Mexico. Forty eight metabolites (including sugars, amino acids, organic acids, polyphenolic acids and alcohols) were identified and quantified by 2D NMR and qNMR, respectively. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) separated the ten races into two clusters, from which citric acid, formic acid, fumaric acid, malic acid, glucose, fructose, sucrose and galactose were found as differential metabolites. This is the first study describing the chemical profiling of ten new races of Capsicum annuum cv. serrano and the spectrometric method used presently is characterized by great simplicity, robustness and reproducibility. Thus, this technique can be used for establishing reliable metabolomic fingerprints of different races of Capsicum annuum cv. serrano.
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