Correlation Engine 2.0
Clear Search sequence regions


  • capsicum (7)
  • cases (1)
  • data analysis (1)
  • flavonoids (1)
  • fruit (2)
  • native (3)
  • peru (2)
  • spp (1)
  • vegetables (1)
  • Sizes of these terms reflect their relevance to your search.

    Many species of chili peppers have overlapping morphological characters and delimitation by visual descriptors in many cases fails to differentiate one species from another. In Peru, there are 413 accessions of native chili pepper and 296 accessions of rocotos conserved in the Germplasm Collections of the National Institute of Agrarian Innovation (INIA), of which five accessions (three species from three locations) were selected for the present metabolomic study. The Discrimination of the three species of native chili peppers and identification of biomarkers was performed using untargeted metabolomic approach based on profiling by UHPLC-HRMS and multivariate data analysis. The samples of fresh chili peppers (whole fruit) from Chincha area were used to construct an OPLS-DA model. To validate the biomarkers (identified 15 biomarkers, mainly flavonoids), an external validation set of the OPLS-DA model was constructed using Chiclayo and Huaral collection datasets. Consequently, the OPLS-DA based on Chincha samples model has a high predictive capacity demonstrating that the biomarkers have a high probability of continuity in any culture space, being successful in discriminating the species by untargeted metabolomics. Copyright © 2022 Elsevier Ltd. All rights reserved.

    Citation

    Fabio Espichán, Rosario Rojas, Fredy Quispe, Guillaume Cabanac, Guillaume Marti. Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination. Food chemistry. 2022 Aug 30;386:132704

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 35358858

    View Full Text