Species identification of Papaver by metabolite profiling

Choe, Sanggil; Kim, Suncheun; Lee, Chul; Yang, Wenjun; Park, Yuran; Choi, Hwakyung; Chung, Heesun; Lee, Dong‐Ho; Hwang, Bang Yeon

doi:10.1016/j.forsciint.2011.04.015

Cited by 24 publications

(18 citation statements)

References 25 publications

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“…This untargeted metabolomic analysis is in line with previous studies performed both by classical and by metabolomic targeted approach on samples collected in Greece and Korea, respectively.…”

Section: Resultssupporting

confidence: 90%

Metabolomics of the alimurgic plants Taraxacum officinale, Papaver rhoeas and Urtica dioica by combined NMR and GC–MS analysis

Grauso

Emrick

Bonanomi

et al. 2019

Phytochemical Analysis

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Introduction The phytoalimurgic plants, common dandelion (Taraxacum officinale), corn poppy (Papaver rhoeas) and stinging nettle (Urtica dioica) are a source of nutraceuticals. Objectives To apply a combined metabolomic fingerprinting approach by nuclear magnetic resonance (NMR) and gas chromatography–mass spectrometry (GC–MS) to common dandelion, corn poppy and stinging nettles to obtain simultaneous identification and quantitation of the major classes of organic compounds. Methodology The whole plants collected in the Cilento National Park were dried and then extracted to obtain non‐polar and polar organic extracts. GC–MS was used for non‐polar extracts while 1H‐NMR spectroscopy was used for polar extracts. In both cases, simultaneous identification and quantification of the bioactive metabolites was obtained. Results Non‐polar organic extracts of all plants were mainly composed of palmitic, stearic and oleic acids. The two pentacyclic triterpenols α‐ and β‐amyrin were detected in nettle extract. The analysis of polar organic extracts allowed to detect and quantify organic acids and sugars as main metabolites along with amino acids, caffeoyl derivatives, flavonoids, and nucleotides. In particular, corn poppy leaves contained a huge amount of glyceric acid (55.7% of the total extract). Stinging nettles, instead, exhibited a large amount of choline (19.5%). Conclusion Metabolomic approach coupling GC–MS with NMR spectroscopy allowed to provide a detailed metabolite profile of three alimurgic plants, common dandelion, corn poppy and stinging nettle, from both a qualitative and quantitative point of view.

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Section: Resultssupporting

confidence: 90%

Metabolomics of the alimurgic plants Taraxacum officinale, Papaver rhoeas and Urtica dioica by combined NMR and GC–MS analysis

Grauso

Emrick

Bonanomi

et al. 2019

Phytochemical Analysis

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“…Plants in the genus Papaver can produce diverse alkaloids, mainly in the form of benzylisoquiquinoline alkaloids (BIAs) [13,14]. Alkaloids from Papaver species possess significant biological activity [13,15], and the alkaloid content of Papaver plants varies greatly depending on their growth stage, conditions, and origin [4,12,16]. Rapid and reliable analytical techniques must be developed to facilitate identification and structural determination of alkaloids in complex extracts and medicine herbs [17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

“…To discover medicinally relevant compounds and potential alternatives to plants as the commercial source of valuable BIAs, metabolomic studies of the Papaver species have been reported by metabolomics with chemometric approaches and transcript profiling [13,15,[24][25][26]. However, to date, most studies have focused on the opium poppy and there have been few analytical studies on the alkaloids in P. rhoeas [4,12]. This is despite various reports on biological activity of its extracts based on both in vitro and in vivo experiments and clinical studies [4,5,7,27].…”

Section: Introductionmentioning

confidence: 99%

Identification and metabolite profiling of alkaloids in aerial parts of Papaver rhoeas by liquid chromatography coupled with quadrupole time‐of‐flight tandem mass spectrometry

Lee

et al. 2018

J of Separation Science

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Papaver plants can produce diverse bioactive alkaloids. Papaver rhoeas Linnaeus (common poppy or corn poppy) is an annual flowering medicinal plant used for treating cough, sleep disorder, and as a sedative, pain reliever, and food. It contains various powerful alkaloids like rhoeadine, benzylisoquinoline, and proaporphine. To investigate and identify alkaloids in the aerial parts of P. rhoeas, samples were collected at different growth stages and analyzed using liquid chromatography coupled with quadrupole time‐of‐flight tandem mass spectrometry. A liquid chromatography with mass spectrometry method was developed for the identification and metabolite profiling of alkaloids for P. rhoeas by comparing with Papaver somniferum. Eighteen alkaloids involved in benzylisoquinoline alkaloid biosynthesis were used to optimize the liquid chromatography gradient and mass spectrometry conditions. Fifty‐five alkaloids, including protoberberine, benzylisoquinoline, aporphine, benzophenanthridine, and rhoeadine‐type alkaloids, were identified authentically or tentatively by liquid chromatography coupled with quadrupole time‐of‐flight tandem mass spectrometry in samples taken during various growth stages. Rhoeadine alkaloids were observed only in P. rhoeas samples, and codeine and morphine were tentatively identified in P. somniferum. The liquid chromatography coupled with quadrupole time‐of‐flight tandem mass spectrometry method can be a powerful tool for the identification of diverse metabolites in the genus Papaver. These results may help understand the biosynthesis of alkaloids in P. rhoeas and evaluate the quality of this plant for possible medicinal applications.

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“…A method that uses metabolite profiling for species discrimination between P. somniferum, Papaver rhoeas, and P. setigerum was developed (Choe et al, 2011), and the gas chromatography/mass spectrometry (GC-MS) data of the alkaline extract were processed with in-house Microsoft Visual Basic modules and the chemical information was analyzed through multivariate statistical analyses such as hierarchical cluster analysis (HCA), principal component analysis (PCA), and discriminant analysis (DA). The GC-MS results combined with multivariate analysis demonstrated that the metabolite profiling was an efficient technique for the classification and this method will provide a powerful tool for the identification of Korea Papaver species.…”

Section: Metabolomicsmentioning

confidence: 99%