Indonesian
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)
Rapid Communications in Mass Spectrometry 2010-Sep

Application of imaging mass spectrometry for the analysis of Oryza sativa rice.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
Nobuhiro Zaima
Naoko Goto-Inoue
Takahiro Hayasaka
Mitsutoshi Setou

Kata kunci

Abstrak

Rice is one of the most important food crops in the world and new varieties have been bred for specific purposes, such as the development of drought-resistance, or the enrichment of functional food factors. The localization and composition of metabolites in such new varieties must be investigated because all artificial interventions are expected to change the metabolites of rice. Imaging mass spectrometry using matrix-assisted laser desorption/ionization (MALDI-IMS) is a suitable tool for investigating the localization and composition of metabolites; however, suitable methodologies for the MALDI-IMS analysis of rice have not yet been established. In this study, we optimized the methods for analyzing rice grains by MALDI-IMS using adhesive film and found the characteristic distribution of metabolites in rice. Lysophosphatidylcholine (LPC) was localized in the endosperm. Phosphatidylcholine (PC), gamma-oryzanol and phytic acid were localized in the bran (germ and seed coat), and alpha-tocopherol was distributed in the germ (especially in the scutellum). In addition, MALDI-IMS revealed the LPC and PC composition of the rice samples. The LPC composition, LPC (1-acyl 16:0), LPC (1-acyl 18:2), LPC (1-acyl 18:1) and LPC (1-acyl 18:0), was 59.4 +/- 4.5%, 19.6 +/- 2.5%, 14.2 +/- 4.5% and 6.8 +/- 1.4%. The PC composition, PC (diacyl 16:0/18:2), PC (diacyl 16:0/18:1), PC (diacyl 18:1/18:3), PC (diacyl 18:1/18:2) and PC (diacyl 18:1/18:2), was 19.6 +/- 1.0%, 21.0 +/- 1.0%, 15.0 +/- 1.4%, 26.7 +/- 0.7% and 17.8 +/- 1.9%. This approach can be applied to the assessment of metabolites not only in rice, but also in other foods for which the preparation of sections is a challenging task.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge