Subject matter: Bioquímica
Access rights: info:eu-repo/semantics/openAccess
Researcher identifier: 0000-0003-0768-0611
Published by (editorial): Universitat Rovira i Virgili (URV)
Related publications: Iglesias-Carres, L., Mas-Capdevila, A., Bravo, F. I., Aragonès, G., Muguerza, B., & Arola-Arnal, A. (2019). Optimization of a polyphenol extraction method for sweet orange pulp (Citrus sinensis L.) to identify phenolic compounds consumed from sweet oranges. PLOS ONE, 14(1), e0211267. https://doi.org/10.1371/journal.pone.0211267
Departament: Bioquímica i Biotecnologia
DOI: 10.1371/journal.pone.0211267.t002
Document type: info:eu-repo/semantics/other
Related publication's DOI: 10.1371/journal.pone.0211267
Repository ingest date: 2019-01-30
Author: Iglesias-Carres, Lisard
Keywords: phenolic profile, TPC, polyphenol extraction method, pulp, HPLC-ESI-MS, phenolic compounds
Research group: Nutrigenòmica
Dataset publication year: 2019
Dataset title: Analysis of the variance and regression coefficients for the predicted model for the response variables in Citrus sinensis pulp.
Repositori URV