Journal
FOOD RESEARCH INTERNATIONAL
Volume 119, Issue -, Pages 785-792Publisher
ELSEVIER
DOI: 10.1016/j.foodres.2018.10.061
Keywords
Capsicum annuum; Metabolomic fingerprinting; Nuclear magnetic resonance spectroscopy; Principal component analysis (PCA)
Categories
Funding
- SIP-IPN [20170405, 20180955]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available