Spanish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Agricultural and Food Chemistry 2016-Jul

Metabolomic-Based Strategy for Fingerprinting of Sambucus nigra L. Berry Volatile Terpenoids and Norisoprenoids: Influence of Ripening and Cultivar.

Solo los usuarios registrados pueden traducir artículos
Iniciar sesión Registrarse
El enlace se guarda en el portapapeles.
Ângelo C Salvador
Alisa Rudnitskaya
Armando J D Silvestre
Sílvia M Rocha

Palabras clave

Abstracto

The integration of plant metabolomics to support preharvest fruit development studies can provide important insights into the biochemical mechanisms involved and lately support producers on harvesting management. A metabolomic-based strategy for fingerprinting of volatile terpenoids and norisoprenoids from Sambucus nigra L. berries from three cultivars, through ripening, was established. From 42 monoterpenic, 20 sesquiterpenic, and 14 norisoprenoid compounds, 48 compounds are reported for the first time as S. nigra berries components. Chemometric tools revealed that ripening was the factor that influenced more the volatile fraction profile and physicochemical parameters (pH, TS, and TSS), followed by cultivar. For the unripe stages, a higher overall content of the studied metabolites was observed, which gradually decreased over the ripening stages, being consistent for the three cultivars. These trends were mainly ruled by limonene, p-cymene, aromadendrene, β-caryophyllene, and dihydroedulan, which might therefore be used by producers as an additional simple decision making tool in conjunction with physicochemical parameters.

Únete a nuestra
página de facebook

La base de datos de hierbas medicinales más completa respaldada por la ciencia

  • Funciona en 55 idiomas
  • Curas a base de hierbas respaldadas por la ciencia
  • Reconocimiento de hierbas por imagen
  • Mapa GPS interactivo: etiquete hierbas en la ubicación (próximamente)
  • Leer publicaciones científicas relacionadas con su búsqueda
  • Buscar hierbas medicinales por sus efectos.
  • Organice sus intereses y manténgase al día con las noticias de investigación, ensayos clínicos y patentes.

Escriba un síntoma o una enfermedad y lea acerca de las hierbas que podrían ayudar, escriba una hierba y vea las enfermedades y los síntomas contra los que se usa.
* Toda la información se basa en investigaciones científicas publicadas.

Google Play badgeApp Store badge