Latvian
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)
Food Chemistry 2013-Apr

Discrimination of cabbage (Brassica rapa ssp. pekinensis) cultivars grown in different geographical areas using ¹H NMR-based metabolomics.

Rakstu tulkošanu var veikt tikai reģistrēti lietotāji
Ielogoties Reģistrēties
Saite tiek saglabāta starpliktuvē
Jahan Kim
Youngae Jung
Byeongyeol Song
Yeon-Sik Bong
Do Hyun Ryu
Kwang-Sik Lee
Geum-Sook Hwang

Atslēgvārdi

Abstrakts

Cabbage (Brassica rapa ssp. pekinensis) is one of the most popular foods in Asia and is widely cultivated in many countries for the production of lightly fermented vegetables. In this study, metabolomic analysis was performed to distinguish two cultivars of cabbage grown in different geographical areas, Korea and China, using ¹H NMR spectroscopy coupled with multivariate statistical analysis. Principal component analysis (PCA) showed clear discrimination between extracts of cabbage grown in Korea and China for two different cultivars (Chunmyeong and Chunjung). The major biochemicals (metabolites) that contributed to discrimination between cabbages grown in the two regions were 4-aminobutyrate (GABA), acetate, asparagine, leucine, isoleucine, O-phosphocholine, phenylacetate, phenylalanine, succinate, sucrose, tyrosine, and valine. These results suggest that the levels of the major metabolites that differ significantly between cabbages grown in these two areas were influenced by environmental factors such as climate and geology. Our study demonstrates that ¹H NMR based on metabolomics, coupled with multivariate statistics, can be applied to identify the regions of cultivation of various cabbage cultivars.

Pievienojieties mūsu
facebook lapai

Vispilnīgākā ārstniecības augu datu bāze, kuru atbalsta zinātne

  • Darbojas 55 valodās
  • Zāļu ārstniecības līdzekļi, kurus atbalsta zinātne
  • Garšaugu atpazīšana pēc attēla
  • Interaktīva GPS karte - atzīmējiet garšaugus atrašanās vietā (drīzumā)
  • Lasiet zinātniskās publikācijas, kas saistītas ar jūsu meklēšanu
  • Meklēt ārstniecības augus pēc to iedarbības
  • Organizējiet savas intereses un sekojiet līdzi jaunumiem, klīniskajiem izmēģinājumiem un patentiem

Ierakstiet simptomu vai slimību un izlasiet par garšaugiem, kas varētu palīdzēt, ierakstiet zāli un redziet slimības un simptomus, pret kuriem tā tiek lietota.
* Visa informācija ir balstīta uz publicētiem zinātniskiem pētījumiem

Google Play badgeApp Store badge