Japanese
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 Natural Products 2016-Jun

UPLC-QTOFMS(E)-Guided Dereplication of the Endangered Chinese Species Garcinia paucinervis to Identify Additional Benzophenone Derivatives.

登録ユーザーのみが記事を翻訳できます
ログインサインアップ
リンクがクリップボードに保存されます
Ping Li
Harini Anandhi Senthilkumar
Mario Figueroa
Shi-Biao Wu
Jimmie E Fata
Edward J Kennelly
Chunlin Long

キーワード

概要

A number of Garcinia species accumulate benzophenone derivatives that may be useful for the treatment of breast cancer. The dereplication of new benzophenone derivatives from Garcinia species is challenging due to the occurrence of multiple isomers and the known compounds found in their extracts. In the current study, a strategy is described using the UPLC-QTOFMS(E) technique to identify tentatively the known and uncharacterized benzophenones of interest based upon the characteristic fragmentation ions. Several UPLC-QTOFMS peaks (a-ee) appeared to contain benzophenone derivatives, and 12 of these peaks contained compounds with MS ionization profiles not consistent with previously identified compounds from the seeds of Garcinia paucinervis, an endangered Chinese species. The targeted isolation of unidentified compounds of interest afforded five new benzophenones, paucinones E-I (1-5), which were determined by MS and NMR analysis and ECD spectroscopy. These compounds were evaluated for cytotoxicity against three breast cancer cell lines inclusive of MDA-MB-231, SKBR3, and MCF-7. These results indicate that the UPLC-QTOFMS(E)-guided isolation procedure is an efficient strategy for isolating new benzophenones from Garcinia species.

Facebookページに参加する

科学に裏打ちされた最も完全な薬草データベース

  • 55の言語で動作します
  • 科学に裏打ちされたハーブ療法
  • 画像によるハーブの認識
  • インタラクティブGPSマップ-場所にハーブをタグ付け(近日公開)
  • 検索に関連する科学出版物を読む
  • それらの効果によって薬草を検索する
  • あなたの興味を整理し、ニュース研究、臨床試験、特許について最新情報を入手してください

症状や病気を入力し、役立つ可能性のあるハーブについて読み、ハーブを入力して、それが使用されている病気や症状を確認します。
*すべての情報は公開された科学的研究に基づいています

Google Play badgeApp Store badge