Cristin-resultat-ID: 1130092
Sist endret: 17. mars 2017, 14:14
Resultat
Vitenskapelig antologi/Konferanseserie
2010

Assessment of physiological changes and taste quality of European blueberry (Vaccinium myrtillus) using metabolite profiling

Bidragsytere:
  • Jens Rohloff
  • Inger Martinussen
  • Eivind Uleberg
  • Olavi Junttila
  • Anja Hohtola
  • Laura Jaakola
  • mfl.

Utgiver/serie

Utgiver

IHC Lisboa 2010

Om resultatet

Vitenskapelig antologi/Konferanseserie
Publiseringsår: 2010
ISBN: 9789066056848

Beskrivelse Beskrivelse

Tittel

Assessment of physiological changes and taste quality of European blueberry (Vaccinium myrtillus) using metabolite profiling

Sammendrag

The fruit quality of European blueberry (EB) is mainly determined by taste compounds (sugars, acids, flavour) and health-beneficial structures generally denoted as antioxidants (vitamin C, phenolic acids, flavonols, anthocyanins, proanthocyanidins). Content and compound composition is strongly affected by the growth environment regarding light, temperature, water and edaphic factors. In order to assess genotypic relationships (northern and southern clones of EB) and environmental impact (temperature, day length) on berry quality parameters, a high-throughput system for blueberry metabolite profiling of nutritional compounds was established based on gas chromatography coupled with mass spectrometry (GC/MS). Dried methanol/H2O extracts from fresh-frozen berry tissue were derivatized, and subjected to GC/MS in order to detect polar compounds such as organic acids from Krebs-cycle, amino acids, sugars, polyols, and partly secondary metabolites (phenols, flavonoids). In addition, general quality parameters such as total phenols, total anthocyanins and antioxidant capacity (FRAP) were measured. Fructose (5 g), glucose (5 g), and sucrose (0.5 g/ 100 g f.w. at average) were the most abundant carbohydrates, together with high levels of organic acids such as citric acid (1.3 g), quinic acid (1.6 g), and malic acid (0.3 g/ 100 g f.w. at average). More than 50 metabolites per sample (identified compounds and not-annotated mass spectral tags) could be detected, and established the basis for multivariate statistics using principal component analysis, hierarchical clustering, and metabolite network analysis. Genotypic differences, modulation of metabolite pools and biosynthetic relationships are being discussed in-depth.

Bidragsytere

Aktiv cristin-person

Jens Rohloff

  • Tilknyttet:
    Forfatter
    ved Institutt for biologi ved Norges teknisk-naturvitenskapelige universitet

Inger Martinussen

  • Tilknyttet:
    Forfatter
    ved Divisjon for matproduksjon og samfunn ved Norsk institutt for bioøkonomi

Eivind Uleberg

  • Tilknyttet:
    Forfatter
    ved Divisjon for matproduksjon og samfunn ved Norsk institutt for bioøkonomi

Urho Olavi Junttila

Bidragsyterens navn vises på dette resultatet som Olavi Junttila
  • Tilknyttet:
    Forfatter
    ved Institutt for arktisk og marin biologi ved UiT Norges arktiske universitet

Anja Hohtola

  • Tilknyttet:
    Forfatter
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