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Applications of Liquid-Chromatography Tandem Mass Spectrometry in Natural Products Research: Tropane Alkaloids as a Case Study
Published on: March 8, 2024
Amides and an alkaloid from Portulaca oleracea
Tetsuo Kokubun1, Geoffrey C Kite, Nigel C Veitch
1Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AB, UK.
Researchers identified 16 phenolic compounds from Portulaca oleracea, including novel N-cinnamoyl phenylethylamides and a pyrrole alkaloid. Spectroscopic analysis confirmed the structures of these natural products.
Area of Science:
- Phytochemistry
- Natural Product Chemistry
- Organic Chemistry
Background:
- Portulaca oleracea (purslane) is a widely distributed plant with a history of traditional medicinal use.
- The chemical constituents of P. oleracea are diverse and contribute to its biological activities.
- Further investigation into its chemical profile can reveal novel compounds with potential applications.
Purpose of the Study:
- To isolate and identify phenolic compounds from a polar extract of Portulaca oleracea.
- To characterize newly discovered N-cinnamoyl phenylethylamides and pyrrole alkaloids.
- To elucidate the structures of identified compounds using comprehensive spectroscopic methods.
Main Methods:
- Extraction of a polar fraction from Portulaca oleracea.
- Chromatographic separation techniques (e.g., HPLC, column chromatography) for isolation.
- Spectroscopic analyses including NMR (1D and 2D) and Mass Spectrometry for structural elucidation.
Main Results:
- Isolation and identification of a total of 16 phenolic compounds.
- Characterization of one new and five known N-cinnamoyl phenylethylamides.
- Identification of portulacaldehyde, a new pyrrole alkaloid, along with five phenylpropanoid acids/amides and benzaldehyde/benzoic acid derivatives.
Conclusions:
- The polar extract of Portulaca oleracea is a rich source of diverse phenolic compounds.
- The identified compounds, including novel ones, expand the known chemical diversity of P. oleracea.
- Structural confirmation through spectroscopic data provides a basis for further pharmacological investigations.
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