NMR-based metabolic study of fruits of Physalis peruviana L. grown in eight different Peruvian ecosystems

Helena Maruenda, Rodrigo Cabrera, Cristhian Cañari-Chumpitaz, Juan M. Lopez, David Toubiana

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The berry of Physalis peruviana L. (Solanaceae) represents an important socio-economical commodity for Latin America. The absence of a clear phenotype renders it difficult to trace its place of origin. In this study, Cape gooseberries from eight different regions within the Peruvian Andes were profiled for their metabolism implementing a NMR platform. Twenty-four compounds could be unequivocally identified and sixteen quantified. One-way ANOVA and post-hoc Tukey test revealed that all of the quantified metabolites changed significantly among regions: Bambamarca I showed the most accumulated significant differences. The coefficient of variation demonstrated high phenotypic plasticity for amino acids, while sugars displayed low phenotypic plasticity. Correlation analysis highlighted the closely coordinated behavior of the amino acid profile. Finally, PLS-DA revealed a clear separation among the regions based on their metabolic profiles, accentuating the discriminatory capacity of NMR in establishing significant phytochemical differences between producing regions of the fruit of P. peruviana L.

Original languageEnglish
Pages (from-to)94-101
Number of pages8
JournalFood Chemistry
Volume262
DOIs
StatePublished - 1 Oct 2018
Externally publishedYes

Keywords

  • Amino acid profile
  • NMR metabolomics
  • Peruvian highlands
  • Physalis peruviana L.
  • Quantitative NMR
  • Sugar profile

ASJC Scopus subject areas

  • Analytical Chemistry
  • Food Science

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